4 Ways to Improve the Retail Customer Experience

4 Ways to Improve the Retail Customer Experience

To make the customer experience central to their marketing strategy, retailers must thrive in offline (print) and online digital channels.

The retail customer experience is not an easily definable event – or even a series of events. It’s a complex relationship, not a checklist of dos and don’ts. And, like all relationships, it takes time and effort to develop. In recent years, it has become more challenging. Since the emergence of e-commerce and smart devices, amplified by crises like the pandemic, today’s customers insist on a “shopping anywhere” world. Retailers have no choice but to meet them where they are. What was once a relatively stable environment for marketing and advertising directors is now more like the 2022 hit movie Everything Everywhere All at Once.

 One of the critical elements to coping in this environment is the retailer’s ability to provide consistent messaging across a seemingly infinite number of platforms. Print-based marketing and advertising haven’t declined but have changed, increasing complexity and customization. And as online channels multiply, they, too, demand a flood of consistent messaging and product details. It seems overwhelming, but there are ways that retail merchandising planners and their IT manager partners can control that flow and improve the overall customer experience.

1. Go Beyond the Screen

The hybrid shopping experience has become a retail fact of life. Customers with smartphones frequently browse in brick-and-mortar stores, only to price check and even purchase the product they like on Amazon. But the real problem is not Amazon, per se. It’s that the brick-and-mortar chains’ smartphone apps are not as agile as those of their online rivals. Special offers and incentives from the print catalog or flyer are not reflected in the mobile app, and the customer’s experience  finding and buying products in person and online is too often separate.

This need not be the case. As detailed in a recent case study, home improvement giant Lowe’s achieved remarkable results in multichannel marketing for its 2,000+ locations. They did so by deploying Comosoft’s LAGO system to integrate the company’s product information management (PIM),  digital asset management (DAM), and other data systems with its marketing production hubs. The system allowed their merchandising planners to easily create customized versions of their printed materials and export the same offers and incentives to Lowe’s mobile app, which customers could use to locate specific products in the store.

2. Consistency and Customization

 The bane of complex, multichannel marketing is the overwhelming sea of data that describes each product. With so much data per product, even a single promotion can involve intensive (and costly) manual efforts to ensure everything is correct. The LAGO system automatically pulls all the related product data from PIM, DAM, and other systems to reduce overhead and consistently promote the right products for a particular region. It also allows for regional variations in print and interactive digital publishing applications.

All this activity happens behind the scenes, of course. The shopper sees a consistent customer experience of the retail brand across multiple touchpoints.

3. Work With Emerging Technology and AI

The modern customer experience also includes a remarkable degree of personalization, allowing the retailer to tailor its promotions to the needs and buying behavior of demographic or regional groups—even down to the individual level. But all that “magic” is based on the wise and responsible use of big data.

By definition, retailers have access to enormous volumes of data, including product data from the original manufacturers (stored in PIM, DAM, and other repositories) and transactional and feedback information from individual customers. Putting that data to work is the real challenge. One way of doing so is with LAGO’s Direct Individualized Marketing (DIM) module, which matches known customer preferences with detailed product data to create personalized, one-to-one communication via print and digital channels.

 Of course, discussing big data would only be complete with exploring the possibilities inherent in AI. Comosoft and DecaSIM revealed in a recent case study that AI tools can identify purchasing patterns, such as customer preferences for related products. When paired with LAGO’s ability to manage promotional campaigns, the AI tool enabled merchandising planners to make better product selections, significantly boosting store revenue.

4. Focus On the Product Experience

At the end of the day, a good customer experience depends on individuals finding the right product for them, being happy with their purchase, and developing a sense of loyalty to the retailer who made that possible. Over time, that relationship will lead to repeat purchases and increased word-of-mouth referrals.

 However, replicating such positive, brand-building experiences for thousands of customers and millions of products means that the retailer must have high data agility. Their advertising and marketing teams must expertly juggle vast amounts of data, synchronized across multiple systems, customized to the regional, demographic, and even individual level, and delivered across various print and digital channels. They must also do so affordably and under enormous time constraints.

That level of data agility is possible only with systems like Comosoft LAGO.

Find out more about Comosoft LAGO’s unique, multichannel approach. Or book a demo to see for yourself.


3 Reasons why brand consistency is essential & how DAM helps

3 Reasons why brand consistency is essential & how DAM helps

Are you staying true to your brand?

Here’s the exciting thing about brand consistency: It pays off. In fact, it can increase revenue anywhere between 10 and 20 percent. Brand consistency is about providing your customers with the same experience and impression of who you are as a company when they interact with you, no matter the marketing avenue or communication channel.

When a company establishes its branding, it creates–and, just as importantly, coordinates–the assets for the company and its products. When this branding syncs up, it can benefit your internal operations, help you build trust within your target audience, and get everything working in better alignment. Here’s why brand consistency is crucial–and how digital asset management can help.

1. Build trust that translates into sales

Trust is so essential for today’s consumers that 46 percent will pay more for a brand name they trust than one they don’t. Perhaps that’s why most leading brands expend so much effort building trust.

It’s easy enough to be a “one-hit-wonder;” to create a one-off positive customer experience and make an excellent first impression. Consumers form an initial impression about whether or not they trust a brand in the first seven seconds. And true, a solid initial impression makes for a good beginning–but this does little to foster a long-term relationship with customers–and it may not be enough to inspire that first sale.

Here’s why: Today’s consumers are inundated with advertising and brand messaging on their computers, phones, on television, in circulars and magazines, out in the world, and in their homes. It’s not very likely that they will make their first purchase from a brand they don’t have a relationship with.

That’s where brand consistency comes into play. Consistent brand messaging and cohesive digital assets can make all the difference in nurturing consumer trust with new and repeat customers.

2. Boost brand recognition and memorability

Some color combinations–and even some colors all on their own–are instantly recognizable and forever tied to a brand in many consumers’ minds. This has everything to do with brand consistency. For example, a global restaurant chain known for golden arches and vibrant red and yellow branding is perhaps one of the most recognizable brands worldwide. Or the particular shade of blue associated with a particular name in jewelry.

By some estimates, the right colors can amplify awareness of your brand by as much as 80 percent.

A good, consistent brand image can make your company more recognized and valued. Brand consistency can (and should) include colors. But it can also be achieved through formatting, messaging, an image’s hue or tone, a photo, video, or graphic style, or the most updated company logo. All of these factors create a consistent, trustworthy, recognizable brand that your target audience can get to know faster and easier than brands that operate without the same level of cohesion.

When you have the right tools–like a robust digital asset management system, your entire team and your third-party vendors alike can have searchable, trackable access to all the same digital assets to establish and maintain brand consistency and make the marketing process faster and more agile.

3. Nurture customer connections

Once customers recognize and trust your brand, they can start to anticipate how it will behave and what actions you’ll take. From here, they’ll begin to form an opinion and even connect with your brand personally and emotionally.

The reason behind this? Customers who recognize and trust your brand learn who you are as a company. It’s easier to spot your values, learn your identity–and connect to your mission. This can make all the difference. When customers have an emotional connection with a brand and identify with and share your values, they are far more likely to purchase from that brand. This is increasingly important to today’s consumers. In truth, 64 percent of customers report that sharing values with a brand is one of the most significant ways they connect with a brand.

Your brand should inspire specific, positive emotions in your target audience. This can start as soon as they see your logo (or even just the colors in your logo), but it’s far simpler to accomplish this when you remain consistent.

The link between brand consistency and your digital asset management solution

Wherever you are as a company, that’s where your brand is–whether you realize it or not. It shows up in your company name and logo but also in places like your catchphrases, designs, images, and videos. But it also includes the less tangible, evocative, emotional part of your brand that helps to establish a relationship with your target audience.

Your brand shows up everywhere. It’s in every aspect of your digital assets. That’s why having the right digital asset management tool is essential; it ensures that all your digital assets match across every channel and marketing campaign. It’s the key to ensuring your whole team is painting from the same palette and with the same colors, literally and figuratively.

Digital asset management, then, is all about brand consistency. It helps improve your brand memorability and recognizability, reinforcing your company’s identity and solidifying your messaging across channels. From the beginning of the sales funnel to the end, everything is aligned toward a common goal.

How Comosoft can help

When you’re ready to change creative directions, update your branding, or pivot quickly as your brand evolves, a digital asset management (DAM) solution ensures that your team works from the same tools: the most updated assets.

As you learn which assets are most impactful–based on the metadata for each asset, all logged in your DAM–you can make changes on every channel. And with Comosoft by LAGO, these changes can be created to existing digital channels immediately. In this way, Comosoft’s digital asset management system can also help you keep pace with industry trends and stay competitive within your market based on both outside influence and cutting-edge internal data.

What’s more, Comosoft’s DAM tools can make every team within your company more efficient by securing their access to the assets they need and fostering a seamless workflow from creation to review to publication. Thanks to Comosoft, there’s no time wasted revising or searching for the right assets to maintain consistency; the same assets are updated and available company-wide.

Want to see firsthand how Comosoft’s DAM solution supports brand consistency? Book a Demo today!


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How PIM and AI Go Hand in Hand

How PIM and AI Go Hand in Hand

The global product information management (PIM) market is poised for significant growth over the next few years. While the PIM market hit $9.9 billion in 2021 – a testament to eCommerce and omnichannel selling – it’s anticipated that the overall market will reach $16.5 billion by 2026.

What’s the reason behind this astonishing rise? One of the most significant contributors is integrating artificial intelligence (AI) within PIM systems. By combining AI (and machine learning) and PIM systems, businesses can organize and analyse large amounts of data about their products and take decisive, data-backed action across all their selling channels.

Modern, AI-backed PIM systems put the power in the hands of the seller; they can efficiently synthesize massive amounts of data, but with AI, brands can drastically improve the overall quality of product information across all their channels, address incorrect information and inconsistent data, and detect other errors to make multichannel selling simpler and build consumer trust via reliable information.

Emerging technologies like AI and machine learning are changing how we use PIM systems, improving PIM data quality and providing unique insights. Here’s how PIM and AI go hand in hand.

Improve the Quality of Your Product Information

The way customers find products today has changed entirely. Consumers are used to seeing and purchasing products through search-driven discovery.

But especially now, with AI, brands can use product data to create and automate this process – and even provide improved product suggestions to customers, switching from generating product suggestions based on keyword searches to recommendations based on the intention behind their searches. This makes for a much more dynamic product discovery process for customers.

AI’s role in this process is to extract data based on a product’s attributes to classify each one, extrapolate information regarding customer sentiments behind their buying decisions, and manage product data according to set governance policies and guidelines. DecaSIM, an AI integration for LAGO, even funnels this information back into the LAGO system to maximise what you can do with it. Combining AI and PIM can help you connect your customers to inventory that fits their needs and is in stock and offer personalised recommendations to improve sales and build customer loyalty.

Make Product Information More Reliable

Proofing product information data for quality and accuracy is a massive undertaking – especially when you have a long product list, your product information spans your entire organisation, and your whole team needs accurate, updated data. Having inaccurate or outdated product information can jeopardise customer trust in your brand and create significant inconsistencies in marketing campaigns and on different commerce channels.

PIM system is a crucial tool in addressing the need to keep everyone working (or shopping) from the same product information and with the same data sets; it is an intelligent way to centralise product information like:

  • SKUs and identifiers
  • Titles
  • Descriptions
  • Images
  • Pricing
  • Product quantities
  • And more

AI enhances the process, ensuring that your product information is accurate, high-quality, and ready for internal operations and consumer eyes, while saving you time and money.

With AI integrations, you can make the most of your PIM system by automating tasks like manual item data cleaning and streamlined system searches. You can even use AI to make improvements to product information for things like:

  • Spelling, grammar, and terminology
  • Phrasing for clarity of thought and consistency of branding style
  • SEO and how easy it is for consumers to find your products

Generate Consistent Product Information Faster

With AI, you can create unique product content, training your system to generate product information at scale. Through exposure to your current content, natural language processing tools can analyse your voice and tone and craft product descriptions that match branding and style guidelines.

What’s more, AI makes writing or updating product information much quicker, expediting your overall time to market. This capability allows you to pivot faster when you discover your target audience, tailoring your product information to foster stronger connections and boost engagement.

Automate the Gathering of Additional Product Information

Combining AI with your PIM (and DAM, digital asset management) systems can help ingest structured data about your products and their digital assets. With tools like deep machine learning, AI can analyse your digital assets to identify critical characteristics for these assets and turn them into data for each. This includes things like:

  • Colour, tone, and mood
  • Faces and people
  • Products

This data can then be analysed – with AI and machine learning – to evaluate the efficacy of these assets to learn which digital assets – and which products – foster the most effective connections with your customers, inspire the most purchases, and generate the most revenue for your company. You can analyse large volumes of data about products and who buys them and use these findings to make informed marketing and selling decisions.

When you optimize your product information with AI, the quality and reliability of this data improves – making it easier for customers to find your products and ensure a consistent, positive experience on every channel.

Predict Customer Behaviour, Customise Promos, and Foster Engagement with LAGO

The Comosoft team is all about embracing and making the most of new technologies and opportunities, and that’s why we introduced LAGO with DecaSIM. This AI integration empowers your brand to do things like:

  • Run simulations on customer behaviour to see how they will react to pricing and promotional decisions. This helps you optimize promotions, pricing, and product data to better engage with customers, increase sales, and grow your profits.
  • Understand customer behaviour, detect undiscovered shopping patterns to best appeal to your audience, and even customize promotions to connect with leads and existing customers.
  • Use AI to make data-driven decisions, predict how customers will likely behave for individual promotions, model how promotions for one product will inform buying decisions for other products, and analyse price points—by item and even by week—to determine which promotions will attract the most customers.

DecaSIM’s AI-based tools unify the data from LAGO’s DAM and PIM programs and identify your shoppers’ product preferences. Using this data, DecaSIM synthesizes large volumes of data to derive inferences about your customers and uncovers purchasing patterns faster and with a higher level of accuracy, then returns this information to LAGO. Essentially, it “supercharges” the metadata you use to make multiple versions of each campaign so you can make the most of your marketing efforts in far less time.

You can read about how one of our grocery partners leveraged these tools to increase their sales and even grow profits by 8 percent by adjusting their promotions and weekly circulars by reading this case study.

Ready to make the most of AI and see it in action? Make decision-making simpler, maximize your profits, and improve shopper engagement – all while having more time to take on other initiatives. Book a demo of our multichannel solution software today.


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The Top 6 Benefits of PIM for E-commerce Retailers in 2024

The Top 6 Benefits of PIM for E-commerce Retailers in 2024

E-commerce brands need a way to manage consistent, high-quality product information across print and digital channels. PIM systems can provide that single source of truth.

Digital e-commerce (conducting business via the Internet) is nothing new. The first such transaction involved the sale of cannabis via ARPANET in the early 1970s. But ever since the recovery from the dot-com bust of the early 2000s, and especially since the emergence of smartphones, buying online is the new normal.

Big retail chains, even some that maintain substantial brick-and-mortar footprints, are at the e-commerce forefront today. Large or small, retailers use the mobile Internet to streamline sales and establish lasting consumer loyalty. But as with any technology, e-commerce systems have created their problems. One of the most notable is the challenge of keeping track of mountains of product and purchase data – and using all that data to make meaningful marketing and advertising decisions.

The most frequently-used solution to this problem is to deploy a product information management or PIM system. Essentially a giant database of the entire product line, a PIM system holds detailed and well-organised information about each retailer’s thousands (or millions) of individual products. The product manufacturers typically provide the data. But once that information is normalised in a retailer’s PIM, it becomes the “single source of truth” for marketing and advertising directors. With it, they can intelligently select the right products to promote across print and online channels. Here are some benefits a PIM can provide.

  1. Greater Scalability

In theory, e-commerce retailers have an almost unlimited capacity to access new markets, thanks to our ability to shop from anywhere. However, retailers need their PIM system to deliver high-quality and consistent product information across multiple channels to scale up and compete with Amazon. Moreover, the PIM data must be coordinated with the retailer’s digital asset management or DAM system and other data sources. Promoting a single product is relatively simple; an excellent merchandising planner can usually find all the relevant information and images. However, to do so at scale requires the robust data infrastructure of a sound PIM system.

  1. Improved Customer Experience

PIM-enabled (and DAM-enabled) e-commerce systems can satisfy shoppers’ desire for immediate access to the products they need or want. Once a purchase has been made, the PIM system can even become a repository for customer feedback or reviews – giving marketing and advertising directors new ways to improve the retailer’s public image (hopefully by becoming more responsive). A data-centric model can enhance the retailer’s ability to respond to individual shoppers’ needs if used well.

  1. Better Data Quality

As any retail IT manager will tell you, successful e-commerce depends on the quality of product information that appears in response to a shopper’s search query. Customers want to know the details of the products they buy, including size, color, compatibility with other products, and various other variables. A good picture (or more than one) is a must, as is a clear product description and access to unbiased reviews. All these things do not appear by magic; behind the convenience of any sound e-commerce system is the quality of well-integrated data that only a sound PIM system can provide.

  1. Multichannel Capability

E-commerce is, of course, only one facet of a retailer’s overall marketing strategy. Even “online only” retailers have frequently resorted to various communication channels – including printed catalogs and flyers. But no matter what channel is used, a fully integrated PIM, DAM, and publishing system is the key to success. All those channels must operate in tandem, pulling data from the PIM to create customised, localised variations across multiple digital publishing channels.

  1. External/Internal Collaboration

With so many channels to consider, not to mention the need for customised, regional versions of each campaign, directors of retail marketing and advertising are faced with a formidable task. Having a robust PIM and DAM infrastructure is only the beginning of the solution. To accurately plan and execute such complex campaigns, they must also be able to use those data sources in the planning stage. Comosoft’s LAGO system provides unequalled control over such campaigns, including a unique, collaborative workflow for marketing and product planning managers.

  1. Security

No discussion about a retailer’s data challenges would be complete without a mention of security issues. E-commerce has only expanded these concerns by giving consumers unprecedented access to product information. But here, too, a well-managed PIM system can protect the integrity of product data from outside actors and inadvertent errors during the campaign production process. Many individuals are involved in complex, multi-product, and multichannel campaigns. Last-minute changes are often needed, including sale price changes and many other data corrections. A robust review and approval process is necessary to control such a complex system. Without impeding multiple deadlines, such a process ensures that only authorized corrections are made (and tracked) in the primary PIM or DAM data.

E-commerce may seem like magic, but countless moving parts are working behind the scenes. Each of these depends on the integrity and flexibility of their single source of truth. For retailers looking to establish or upgrade that source, a well-integrated and managed PIM can provide the correct data to improve operations and ultimately enhance their customers’ experience.

Find out more about Comosoft LAGO and its potential to transform your PIM and other data systems into a powerful, integrated e-commerce engine. Or book a demo to see for yourself.


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5 Retail printing trends you can expect to see in 2024

5 Retail printing trends you can expect to see in 2024

Those claiming that the power of print is waning need only look at the numbers to see how far this is from the truth. Print media is one of the most trusted media channels among consumers, who reportedly trust newspapers and magazines to help make a purchase more than any other type of advertising. In fact, 82 percent of Americans rely on newspaper and magazine advertising as a reliable source.

As a reflection of this trust, the retail print and consumables market is demonstrating significant growth. Looking ahead, the demand for these materials is anticipated to grow between 2023 and 2033 at a compound annual growth rate (CAGR) of 4.5 percent.

Overall, the retail industry is showing signs of growth – and with plenty of innovations in publishing print, retail print marketing is having a moment to carry into the new year.

The U.S. Postal Service recently shared that consumers who receive direct mail from retailers not only purchase 28 percent more items but also spend 28 percent more compared to those who do not receive direct mail marketing materials. Print marketing continues to connect with consumers in fresh, exciting ways. Here are some retail print marketing trends predicted to blaze new trails and lead the way in 2024.

1. A focused effort towards real sustainability

Regarding publishing print marketing materials, retailers are looking for strategies to make their processes more sustainable. This drive toward sustainability includes factors like:

  • Limiting carbon footprint and reducing waste production
  • Choosing recycled materials for paper, ink cartridges, and other supplies
  • Sustainable printers and printing devices

Where is this drive toward sustainability coming from? It’s coming directly from consumers. Recently, an astonishing 84 percent of customers stated that discovering that a brand has poor environmental practices would alienate them from that company – and 55 percent of these customers would even pay more to support an eco-friendly brand than those with less sustainable practices.

Moving into 2024, brands should examine their printing processes to discover how they might make them more sustainable – and how they can share this information with their audience to foster a transparent connection with environmentally-minded consumers.

2. Printing according to demand: Short-run printing

Short-run production and printing on demand are tied closely with a movement toward sustainable publishing. Not only does this limit waste, but it also reduces excess production and costs associated with it. With on-demand printing, retailers are becoming more strategic and printing fewer copies of their printed marketing materials while only producing additional copies as needed.

Short-run printing can be a smarter alternative to larger printing runs when introducing a new product, trying out new content, or even targeting a smaller, niche market with a more focused message. It can also be an effective tool for market research analysis. By including unique promotional codes or QR codes in short-run printing materials, retailers can gather more specific data about how their customers respond to a particular product or marketing initiative.

3. A continued push toward personalisation

Personalised print marketing will continue to be an essential trend moving into 2024 for one primary reason: It works. This highly effective print marketing strategy has proven results. Direct mail print marketing personalised to the recipient generates 135 percent better response rates.

There’s much power in personalisation. Consumers already possess a strong emotional connection to a tangible message they receive and can hold. But when retailers match the impact of direct mail with personalisation through customer data, custom greetings, and product recommendations, it amplifies this connection.

Customers feel valued and prioritised When they get a message from a brand that’s meant specifically for them. Perhaps that’s why 75 percent of millennial-aged consumers share that when they receive personal direct mail, they feel special and there’s something quite powerful in that.

With advances in publishing solutions, personalised printed marketing materials aren’t out of reach. Personalisation can be a simple and affordable way to strengthen relationships between retailers and consumers. It can include customisations for location, industry-based marketing, and even customer retargeting – which was once only financially feasible online.

4. The sensory experience of print

Perhaps one of the most significant assets of a print catalog, magazine, or direct mailer? It’s not online. The typical U.S. consumer will spend a daily average of 4 hours and 25 minutes – or 65 full days – on their phones in 2023. Conversely, Americans keep printed, direct mail advertisements in their home for an average of 17 days – and 41 percent of all Americans look forward to checking the mail daily, most of which consists of advertisements.

A printed catalog is a unique, memorable experience in a world saturated with digital interactions. For this reason, many retailers will continue designing print marketing materials that focus on the tactile experience to interact with consumers’ senses in a way digital media can’t. This strengthens the emotional connection consumers feel toward a particular product or brand.

What do these tactile experiences look like – or rather, feel like? It might be the feel of the paper, with choices like linen or textured paper, or even letterpress printing, engraving, or embossing, raised UV and polymer finishes, or specialty coatings like leather or even paper with a sandy texture. It might also be the added texture, look, and feel of interacting with hand-sewn or high-end binding.

The trend of creating a sensory experience for consumers isn’t limited to the tactile feel of printed materials. Some retailers are looking for ways to reach the other senses, even experimenting with adding scented inks, coatings, and varnishes during the print run. Since the sense of smell connects to emotion and memory, this can be a powerful tool for retailers to delight and surprise their customers and make a lasting impression.

5. Embracing new technologies and augmented realities offline

While not a new trend, including personalized URLs and QR codes to drive customers online and track behavior continues to be popular – but these are not the only ways retailers will leverage technology in their printed marketing campaigns.

Consumers are incredibly excited about the possibility of new technologies like artificial intelligence (AI) and augmented reality (AR); they’re eager to test out these tools and see all the different ways they might be used.

Printed augmented reality features included in these printed campaigns can capture the attention and imagination of consumers, with options to discover a product on the page, then use their phone to get a 360-degree view or detailed look at what this product can do or even how it will look in their home.

AR can enhance the user experience and help customers through their decision-making or buying process by scanning a link on the printed page. It’s important to note that customers in 2023 and 2024 may not be eager to download an app to use these features. Thanks to the introduction of WebAR, however, retailers can still implement AR experiences into their print media.

With WebAR, consumers can access many AR features through their device’s web browser. These web-based AR tools present an incredible opportunity for retailers to build innovative campaigns that merge the digital and physical worlds with interactive content and try-it-before-you-buy-it offers that enrich the entire customer experience in a brand-new way.

Comosoft keeps you ahead of the trends

LAGO by Comosoft is a one-of-a-kind marketing automation tool that revolutionizes the entire collaborative workflow process in real time, making it possible for retailers to store data and digital assets in one secure repository accessible from anywhere. The result is a more efficient publishing process that lets you stay updated on the latest trends. When you manage the entire Digital Asset Management (DAM), Production Information Management (PIM), and publishing process from one place, there’s more time to keep up with the newest innovations.

Comosoft LAGO is an all-in-one marketing production solution fully equipped with both a PIM and DAM solution. It supports your operations with integrated workflow collaboration support, versioning


LAGO TANA Release

Improved interface, streamlined features and proven workflows:

LAGO TANA – Explore a whole new version of LAGO!

With this release Comosoft enters a new era of LAGO versions – Beginning with the name Tana and a new LAGO logo. If you ever happened to have an encounter with a manta ray, our new logo mascot, you met one of the most calm and majestic animals on the planet. The version name Tana refers to the biggest lake in Ethiopia, which is the water mouth of the Blue Nile, and the surrounding prolific reserve.

HIGHLIGHTS

A completely new look and feel of LAGO is a long awaited change and above all reflects the new modern technology behind LAGO TANA. Despite the new UI, LAGO retains the familiar user experience. The most impact will be brought by the flat design and a general brighter appearance of the interface. Calm sections with reduced design elements will help users focus on their tasks.

Better overview, faster access. The new LAGO Dashboard, included in our web client will greet all users upon login and before navigating into one of our various applications.

LAGO Dashboard allows to configure global and personal dashboards. Global dashboards can be shared with user groups to ensure that users of the same group have access to the same information. Optionally users can create their own dashboards. Editing the layout of a dashboard is easily done by simple drag and drop actions.

For the content of the dashboards, various widgets are available, such as a global job list, which allows to directly jump into different application depending on the job (e.g. opening a document directly in LAGO Whiteboard or LAGO Proof). The widget “Search Results”, which is based on search folders contains quick links into the applications (e.g. to directly edit an article shown in a filter). LAGO Dashboard can also be used to distribute information such as announcements or links to other important resources, using the widget “HTML Content”.

For over 20 years, LAGO has been using Adobe Photoshop® to process assets for various use cases, from which the import of assets is the main use case. With more parts of the application moving towards the server and aways from client applications, the usage of Adobe Photoshop® has become challenging for IT departments.

The solution is the LAGO Asset Processor, which is the server-based solution for LAGO Pict with Adobe Photoshop®. LAGO Asset Processor runs on the LAGO Application Server (“LAS”) as a servlet within Apache Tomcat and performs asset processing for import and export purposes without the need of Adobe Photoshop®. It is designed for scalability and allows the setup of multiple instances in multiple Apache Tomcats if needed. It is also possible to assign different tasks to different LAGO Asset Processor instances.

Configuration and management of LAGO Asset Processor is being done within LAGO Admin, where instances, tasks and task configurations (e.g. “Hotfolder” configurations) can be configured. The logging and activity can be viewed within LAGO Monitor. The tasks can be activated and deactivated on the fly without having to restart the LAS.

The LAGO Asset Server within LAGO Pict, including the plugin for Adobe Photoshop® is still available with LAGO TANA. However, asset processing without Adobe Photoshop® is only possible when using the LAGO Asset Processor.

The module “LAGO History” including the corresponding application LAGO History has historically been an application for administrators, which allows to view a history on specific data changes per data entity. For example, showing which user has updated a certain price or article. Due to the potentially massive amount of data changes, end users were not the target audience for LAGO History.

This changes with LAGO TANA, since now we offer customisable reports for which administrators can define which data fields are visible in the report and for the first time allow to combine data from various different entities. This makes it possible to not only show a price change for a certain article, but also to which element that article might be assigned as well as the page on which the price change has happened. Previously this information had to be gathered from several views. In addition, an extended search and filtering is now possible for the data to be shown in the report as well as being able to compress variants. The result are condensed reports that can be viewed by end users.

The customised reports are configured within LAGO Admin and LAGO History. Users can access them directly from the project list of LAGO Whiteboard and even within LAGO Whiteboard itself. When selecting a custom report for a page, only changes for articles and elements assigned to page are shown. When selecting a raster field, only changes for that element and its articles are shown.

The usage of the custom reports in LAGO History requires the module “LAGO History”.

The LAGO article type structure is the backbone of every LAGO installation, especially when using LAGO as the centralised product information management system. As the business of our customers grows and evolves, so does the article type structure. New product ranges are added, others are removed or changed. This can have an impact on the article properties as well and might lead to the situation where article property types need to be consolidated and/or deleted.

The article property types however are used in various places in LAGO, such as document templates, scripts and tables. A deletion of a property type could therefore cause a data loss in the system.

With LAGO TANA the new module “LAGO Property Remapping” allows a remapping of article property types which will remap all references of an article property type to a new one.

Support of Adobe InDesign and Photoshop 2024
LAGO TANA will add the support of Adobe InDesign and Adobe Photoshop 2024.

LAGO Layout: Easy access to placeholder settings and highlights
Changing placeholder settings (e.g. dummy values) within document templates can now be done directly in the placeholder palette instead of having to go the template settings dialog. Moreover, the highlight of placeholders can now be enabled/disabled with a single click with the palette “Annotations”.

LAGO Layout: On-demand update for all placeholders of current document
A new button within the placeholder palette allows to update all placeholders of the document without having to close and reopen the document.

LAGO Layout: Move elements between documents
It is now possible to move elements to other documents within the same project. The elements will be moved including all its details, such as components and assigned articles directly within LAGO Layout and without having to rely on LAGO Whiteboard or LAGO PIM/Explorer.

LAGO Layout: Generate PDF documents for a variants of different projects
For customers that are spreading the page production for one printed publication among different projects it is now possible to generate a PDF per project variant type across multiple projects.

LAGO Layout: Open document template of document
A shortcut is now available within the document palette that allows to open the assigned document template of a selected document.

LAGO DAM: Administrative Tasks
The administrative tasks known from LAGO Pict are now all available within LAGO DAM. This includes functions like completely deleting an asset, cleaning up the database from all logically deleted assets or the re-creation of an FPO/Preview for selected assets.

LAGO DAM: Display of asset properties
Asset properties, which were previously only available in LAGO Layout and the LAGO API are now also visible within LAGO DAM.

LAGO Admin: Default Password Policy
LAGO TANA enforces a new default password policy. All passwords must have at least 10 characters. Two of the same characters in a row are not allowed and the password must be different from the user name. This also applies if no password policy is configured within LAGO and also to all technical users, including the users for database connection. The password policy can be strengthened to be even more restrictive.

This was just an appetizer...

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    2024 Marketing predictions for retailers

    2024 Marketing predictions for retailers

    A preview of 2024 trends and data challenges retail chains will face in the age of Amazon and Artificial Intelligence

    As retailers celebrate the end of the holiday shopping season and anxiously plan for the new year, one subject is on everyone’s mind: data. There’s so much of it, so decision-makers must ask some hard questions in 2024. Is our data managed as a “single source of truth” for marketing and advertising decisions? Can they be utilised effectively – and ethically – for personalised marketing? How can our data work well with AI, eCommerce, or multichannel marketing?

    It’s safe to say then that 2024 trends for retailers will be all about how marketing and advertising directors can leverage all that data to increase profitability.

    AI, the “new” data challenge

    When it comes to the topics of big data and artificial intelligence, 2023 has been a chaotic year, to say the least. Our posts in September and October covered the basics, starting with the value of data-driven retail marketing decisions. We then explored ways retail chains can use AI to enhance that value – drawing valid inferences from customer purchase behavior data. In November, we narrowed the discussion to a defined strategy for retailers, showing that AI-enhanced data can be used effectively to find meaningful “diamonds in the rough” in a mountain of data every retailer has about their products and purchase history.

    AI is certainly not a new phenomenon. Ever since its early research in the 1950s – and in countless fictional stories – we have been intrigued by the notion that computers could solve massively complex problems automatically, and even autonomously. As the volume of data and sheer processing power have grown exponentially, AI has proven its worth many times over. Despite our media-fueled worries, it presents unique and powerful ways to turn our data into business success.

    For retailers, the 2024 trend will be less in the generative area of AI, such as ChatGPT or Midjourney. Instead, it will be how they use AI with real-world product and purchase behavior data. As demonstrated in our recent case study, AI can enhance retail marketing effectiveness and increase overall sales.

    Retail reality in the age of Amazon

    Since the early 2000s, retailers have had to cope with the emergence of the eCommerce phenomenon and the rise of smart devices. This rise has meant media fragmentation, heavier demands on shoppers’ attention, and direct competition from online sites offering convenience and a sense of instant gratification. Every retailer’s nightmare includes seeing a customer browsing through the store, phone in hand, ready to price-check on Amazon. They may even make an online purchase on the spot, having used the store as Amazon’s de facto showroom.

    The answer – and a significant 2024 trend – is in the wise use of multichannel marketing. This means much more than putting the same ads on every device and medium. It means that each retail brand must have a reliable, two-way connection with consumers, especially with its loyal, core customers. In today’s hybrid shopping experience, the lines between print and digital – and between in-store and remote – have been forever blurred. Targeted ads and offers on every medium are only part of the solution. Customers must also be able to find and even buy with their phones, wherever they happen to be.

    This two-way, multichannel connection can only be achieved when the retailer understands and controls their data. Their vast product information management (PIM) system, their digital asset management (DAM) system, and myriad other data sources must be well integrated – as a “single source of truth,” also known as master data management. This is essential for retail campaign planning and creating effective print and digital output with regional, demographic, and personal customization. It must also provide the ability to measure a campaign’s results and, through AI, refine and apply that data to guide future campaigns.

    If that seems like a tall order, retail advertising and marketing directors can take comfort in the fact that they need not start from square one. Since its founding in 1994, Comosoft’s LAGO system and the data integration teams behind it has allowed retail chains to integrate their PIM, DAM, and other data sources into a streamlined campaign planning and production process. But, like the web itself, the LAGO approach has only just begun.

    The future of data marketing

    Another obvious 2024 trend for retailers is that the mobile web and its constellation of AI-enabled apps are not going away. The impact on retailers and their ability to thrive in that arena will continue. But the importance of print cannot be underestimated. Even eCommerce players are discovering the intrinsic value of print in growing their business.

    The LAGO system has already demonstrated its ability to unify multiple data sources, streamline the production of multiple-version print and digital output, and even use AI to optimise such campaigns. But it also has created a direct individualised marketing (DIM) system, using integrated, personalised data to create a unique customer experience throughout their shopping journey. It has also helped retailers master the complexities of hybrid shopping, providing a continuity of experience across the increasingly blurry print/digital divide.

    All of this relies on detailed, expert data management and on the tools necessary to keep retailers competitive. The future of retail commerce in person or online will involve integrating existing systems with social commerce, where users can shop directly from social media platforms or whatever new thing comes with the new year.

    The future of retail data technology will not be without disruption and anxiety. But with the right tools and partners, it will be a good year.


    Comosoft partners with Hypertrade

    Comosoft partners with Hypertrade to revolutionise promotion workflows and category management in Southeast Asia

    Hamburg, December 2023 – Comosoft, a leading provider of promotion workflow automation solutions, has announced its strategic partnership with Hypertrade, a renowned expert in category management automation. This partnership marks a significant milestone in delivering unparalleled technology solutions to the Southeast Asian market.

    Comosoft specialises in streamlining promotion workflows across diverse channels, empowering retailers to optimise their marketing efforts efficiently.

    Meanwhile, Hypertrade excels in automating category management, providing businesses with cutting-edge tools to enhance product visibility and sales performance.

    Both companies boast unparalleled retail expertise, integrate AI and ML engines in their solutions and share a genuine passion for commerce and shoppers.

    Revolutionising retail operations with unified solutions

    The collaboration between Comosoft and Hypertrade aims to combine their respective strengths to offer a comprehensive solution that seamlessly integrates promotion workflows, category management and CRM for retailers and agencies. Comosoft has selected Hypertrade as its partner to distribute its advanced technology solution across Southeast Asia.

    Benefits for customers: Unleashing unprecedented integration

    This partnership promises retailers and businesses a one-of-a-kind integration of promotion automation and category management. Clients can expect optimised workflows, improved product visibility, and increased sales efficiency through this joint offering. The amalgamation of Comosoft’s promotion automation expertise with Hypertrade’s category management prowess will empower businesses to elevate their market presence and drive growth.

    Key executive insights: Unveiling the collaborative vision

    Peter Jozefiak, CEO of Comosoft, expressed excitement about this partnership, stating, “Teaming up with Hypertrade signifies a crucial step in our commitment to providing comprehensive solutions. Strong with robust expertise gained in Europe and the US, together, we’re poised to help retailers in Southeast Asia make giant steps in the automating category management and promotion workflows in very advanced omnichannel retail environments.”

    Frederic Etienbled, CEO of Hypertrade, added, “Our collaboration with Comosoft signifies our dedication to offering holistic automation end-to-end solutions to help retailers delight their shoppers across all their channels. This partnership represents an exceptional opportunity to drive innovation and efficiency across Asia, one the most digital savvy population in the world.”

    The partnership between Comosoft and Hypertrade signifies a unified mission to empower Southeast Asian businesses with cutting-edge technology solutions. As they combine their expertise, they are set to redefine promotion workflows and category management across the region.

    For further information, please contact: marketing@comosoft.de


    Putting AI To Work: How Retailers Can Find More “Diamonds In the Rough”

    Putting AI To Work: How Retailers Can Find More “Diamonds In the Rough”

    Last month, we discovered that artificial intelligence, far from being a threat to retail marketing teams, is, in fact, an essential team player. The early results of using DecaSIM’s AI tools in conjunction with Comosoft LAGO showed that the two systems complement one another, each providing unique benefits for retail advertising and marketing directors. In this month’s article, we look at the two companies’ plans and what they mean for retailers of every kind.

    Test overview

    Recently, we tested the effect of using AI to optimize product selection in a regional grocery chain’s marketing campaigns. As reported in the published case study, the results were truly remarkable.

    In the test, the regional grocery chain selected a 104-store region (out of over 300 stores) and, using Comosoft LAGO, created a specific version of its weekly ad circular to optimize during the test period. Each week’s promotional plan was run through DecaSIM’s AI optimizer during the test period. The analysis results were used to select which items to feature on each page of the circular. Compared with the sixty-five other stores chosen as a control group, the AI-assisted promotions increased sales by over $4,000 per store per week.

    As AI improves profitability in the retail grocery sector, other retail chains can expect similar or even better results.

    The importance of foot traffic

    DecaSIM co-founder Doug Edmonds described a crucial factor in the grocery retail industry that is common to all retailers.

    “All retail is trying to drive foot traffic, often with price as an incentive,” he said. “Whether you’re a grocery business or a home improvement retailer, if you depend solely on infrequent shoppers, you won’t survive.”

    Edmonds continued, “Every retailer has a ‘core shopper group’ they must satisfy. Whether they’re buying tomatoes or socket wrenches doesn’t matter; their product preferences, shopping habits, and price sensitivity matter. Using AI to learn those things gives all retailers an edge. It will help them sell more to that core group. It will also grow that regular foot traffic over the long term.”

    Comosoft’s US President Randy Evans noted that the grocery industry was only the beginning. “Grocery retailers have been using LAGO for years,” he said, “especially those chains that require regional versions of their weekly flyers and mobile shopping apps. We’ve always made it easy to prioritize offers, pull data from various sources, and streamline the design process across multiple stores. A fast turnaround is essential. But with DecaSIM’s AI tools, grocery advertising and marketing directors can know what products to prioritize in each campaign. It’s a slam dunk for our grocery clients, but our other retail clients can do the same thing.”

    Diamonds in the rough

    This use of artificial intelligence solves a problem facing all retailers—finding meaningful information in a mountain of product data. With thousands or even millions of individual products from many sources, retailers’ databases today are jammed with data related to each SKU. Typically, these reside in product information management (PIM), digital asset management (DAM), inventory, pricing, and marketing management databases. Too often, they are poorly integrated, forcing marketing heads and designers alike to hunt for detailed information for each product. This process is both time-consuming and prone to costly errors. With limited time and a seemingly unlimited array of print and digital channels, picking which products to feature involves a combination of intuition and guesswork.

    LAGO’s unique ability to unify the PIMDAM, and other data sources is part of the solution, creating a collaborative workflow, including both the design and the review and approval process. But even with a data-optimised, multichannel workflow, it still falls to the advertising and marketing directors to make priority decisions during the planning process. And even experienced planners may miss promotional opportunities amidst all that data.

    Enter the AI part of the equation. DecaSIM’s artificial intelligence tools take data from each previous LAGO-driven campaign, identify patterns of core shoppers’ product preferences, and derive inferences and purchasing patterns, faster and with greater accuracy from that mountain of data. It then returns the results to LAGO, in effect “supercharging” the metadata used to create multiple versioned campaigns. AI can, in effect, find marketing diamonds amid raw data that would take humans too long to process.

    Roadmap to marketing success

    Comosoft Product Manager Steve May outlined what this could mean for future versions of LAGO.

    “Today, campaign planners use our whiteboarding feature to create offers and product groupings that make the most sense based on margin, availability, and success in previous campaigns,” he said. “LAGO could add AI-generated weighted scores, relationships to other products, seasonal or regional patterns, and other useful indicators to featured products. They would still choose which ones to use but would be more informed marketing choices.”

    By adding AI to LAGO, sales and marketing campaigns could be planned and executed at scale, with an objective knowledge of their sales potential. Far from taking jobs away from retail marketing professionals, AI would serve as a highly efficient research assistant, gathering objectively valuable information that the planner would use to create effective campaigns.

    “Today, people are nervous about AI and what it will do to their careers,” Evans said. “In the case of retail marketing, it’s pretty obvious that AI is an ally in our data-intensive world.”


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    Can AI help retail?

    Can AI help retail? A no-nonsense strategy for success in the AI revolution

    A mere eleven months ago, OpenAI launched the public version of its AI-based, large language model, ChatGPT. In that short time, the noise surrounding AI has dominated the media, boardroom conversations, and almost every social gathering on the planet. Retail advertising and marketing directors everywhere are inundated with questions. “What are we doing about artificial intelligence – and how will we survive without it?”

    Thankfully, Comosoft and its AI development partner, DecaSIM, have a practical answer. They now offer a clear path for retailers searching for real-world AI solutions, relieving the pain of turning vast amounts of complex data into meaningful, more cost-effective marketing campaigns. In a recent case study, a leading regional grocer implemented a live test of Comosoft’s marketing automation system, LAGO, in combination with DecaSIM’s AI-based data analysis tools, generating positive results from week one. By optimising which promotions to feature in its advertising and creating more customer engagement, the company demonstrated increased weekly sales and an eight percent increase in EBITDA profitability.

    Artificial intelligence for the rest of us

    Much public anxiety over AI stems from common misperceptions about the technology. ChatGPT and other “generative” AI systems often look for patterns in vast amounts of unstructured data – meaning there are no preexisting identification tags or metadata to help us sort or classify them. The Comosoft/DecaSIM AI model is based on a smaller set of structured data, such as the known purchase history of specific products, prices, and seasonal buying patterns. The AI tool uses the data to solve equations to create new (and precious) metadata describing shoppers’ behavior and preferences about specific products.

    In other words, the AI is finding meaningful inferences from the data based partly on the domain knowledge of advertising and marketing professionals. It does so with volumes of data that, while not as vast as the trillions of data parameters required by generative AI systems like ChatGPT are still too large for humans to analyse without help.

    All this puts the Comosoft/DecaSIM approach in the category sometimes known as “Narrow AI,” or artificial intelligence designed to perform specific tasks. This differs from purportedly self-aware, artificial general intelligence or AGI, which is still hypothetical at best. However, since simplified tasks are critical to retail success, advertising and marketing directors have little to fear and much to gain. The belief that AI is taking over from humans is offset by a growing awareness that AI can be a critical part of any retail marketing team.

    During the testing process with retailers, DecaSIM co-founder Chris Antipa noted that advertising and marketing departments are finding their work enhanced, not threatened.

    “There’s always this natural pushback, with people saying, ‘Hey, computers are coming for my job.’ But as time passes, they begin to understand what the AI is doing for them and talk about the platform as a teammate. They even joke that they should give it a nickname.”

    Putting AI to work

    The combination of DecaSIM’s AI tools and Comosoft LAGO can only be described as a high-impact data solution. LAGO already automates various vital functions for retailers, including integration of campaign planning, numerous data sources, and streamlined production of print and digital campaigns – including multiple regional versions of each catalog, flyer, or digital equivalent. Using AI elevates that process even further. Historically, structured data from LAGO and other sources are fed to the DecaSIM system, deriving meaningful shopper habits and preferences for specific products and product categories. This enhanced metadata is fed back into LAGO, providing an objective basis for promoting particular products at specific locations and times of the year.

    The results have been remarkable. Co-founder Doug Edmonds recounted the response of one retail executive, who said the DecaSIM/LAGO combination “made every ad like a holiday ad,” thanks to the system’s ability to anticipate shoppers’ preferences and product attributes. “The data we utilize contain context and meaning hidden to most of the retail world,” Edmonds continued. “AI uses those data to define that context and meaning, rate its importance, and add all that to the metadata for each product and category.”

    The LAGO approach, which integrates marketing-relevant data from product information management (PIM), digital asset management (DAM), and other sources, is ideally suited to optimise the new DecaSIM data. “Traditionally, more than half of our implementations start with some rich data feed,” said Comosoft Product Manager Steve May. “Typically, this is a collection of product SKUs, digital assets, and offers. With DecaSIM, the data are enhanced before we even get it.”

    This is especially important to advertising and marketing directors at the planning stage of a campaign. LAGO’s whiteboarding capability already gives them an overview of which products to feature prominently based on criteria such as regional availability, profit margin, and sales history. With the addition of DecaSIM data, they also can have reliable indicators of what shoppers will more likely purchase, including their preferences for related or alternative products.

    “LAGO and DecaSIM are both ‘painkillers’ for retail advertising and marketing professionals,” said Comosoft US President Randy Evans. “One stops the pain of integrating PIM, DAM, and other data to execute campaigns at scale. The other removes the guesswork of which products are more likely to sell.”

    The future of AI in retail marketing

    The success of this approach is not limited to the grocery market. Retailers depend heavily on regular foot traffic and a known population of frequent shoppers – a dimension that fits everyone from home improvement and hardware retail chains to fashion and lifestyle brands. Knowing objectively what shoppers want and advertising accordingly is a holy grail for all retail marketers – one that DecaSIM’s AI can find and LAGO can implement, even down to the local level and on multiple print and digital platforms.

    The two companies are actively engaged in combining and expanding these capabilities shortly. Some of these enhancements will be the subject of next month’s article.