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The retail landscape will change: 2D product information with category management and the GS1 2D matrix code

The retail landscape will change: 2D product information with category management and the GS1 2D matrix code

Retail will change: 2D product information with category management and the GS1 2D matrix code – Image: Xpert.Digital

Digitalization in retail: Why the GS1 DataMatrix code is the key to digital category management

Digitalization has profoundly transformed the retail sector, increasingly steering category management towards data-driven processes in recent years. A key element of this transformation could be the GS1 DataMatrix code, a two-dimensional barcode capable of storing far more information than conventional barcodes. "The future belongs to those who understand data as a strategic resource"—in this sense, the GS1 DataMatrix presents itself as a key tool for retailers and manufacturers to revolutionize category management in both online and brick-and-mortar stores.

But what exactly is a GS1 DataMatrix code? Unlike a traditional EAN-13 barcode, which has been a familiar sight on supermarket products for decades, a 2D code offers a higher data density. This means that more information can be stored in a relatively small square than a conventional one-dimensional barcode could ever allow. This additional information opens up new possibilities: In addition to the GTIN (Global Trade Item Number), which uniquely identifies the product, data such as batch numbers, serial numbers, or the best-before date can be embedded in the code. "Data diversity is the first step to generating real added value from information." This additional information content can make a real difference in category management.

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How the GS1 DataMatrix is ​​revolutionizing category management in e-commerce

In online retail, precise product data is essential to ensure a seamless customer experience. Consumers increasingly rely on detailed information, especially for products with expiration dates or complex serial structures. The GS1 DataMatrix code can provide support in the following ways:

1. Extended product attributes

Merchants can store additional attributes besides the GTIN in the code. This makes it easier to differentiate between product variants in the shop. For example, a product might look the same but have a different expiration date or belong to a different batch. By scanning the code, systems can instantly recognize the correct information without requiring manual input.

2. Dynamic Linking

E-commerce platforms benefit from linking the code to online resources. As soon as a customer scans the code with their smartphone, further product details, usage instructions, or video tutorials can be displayed, for example. "Added value through context" – that's the key principle here. Customers are willing to consume additional information if it offers them practical benefits.

3. Optimized logistics processes

In online retail, the supply chain tends to be complex, as products are often shipped from different warehouses or locations. GS1 DataMatrix makes tracking simpler and more transparent. Every package and every single product can be precisely traced. This not only supports returns processes but also ensures more efficient inventory management.

4. Personalized Recommendations

Online platforms collect extensive data on their customers' purchasing behavior. Combining this data with information from the GS1 DataMatrix code allows for more targeted product recommendations. "Customers are at the heart of every purchasing strategy"—in this sense, linking product and customer data helps to improve the overall shopping experience.

All these factors create a solid foundation for data-driven category management. Products that are frequently purchased or have particularly high return rates can be quickly identified using the expanded data. This enables flexible and customer-centric assortment planning, where customer needs are paramount.

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Significance of the GS1 DataMatrix in brick-and-mortar retail

Although online retail is growing rapidly, brick-and-mortar stores are by no means obsolete. Many consumers still value the opportunity to experience products firsthand. For successful category management, data needs to be taken to a new level in this area as well. The GS1 DataMatrix code can play a key role in this.

1. Faster checkout, fewer errors

The classic cash register with a 1D barcode scanner could be supplemented or replaced by a 2D scanner. This ensures greater data security. Furthermore, POS systems can retrieve information such as the best-before date, which can be particularly relevant for discounted items. Product data can be recorded more accurately and quickly, reducing errors and incorrect pricing.

2. Enhanced shopping experience

Customers can scan the code with their smartphone to access additional information. "Informed buyers make more conscious product choices." This information can include, for example, ingredients, preparation tips, or further usage instructions. In the fresh food sector, for instance, it's helpful to scan the code and immediately find out which dishes can be prepared with the product.

3. Real-time inventory management

Especially in brick-and-mortar retail, storage areas are often located directly below or behind the sales floor, allowing for immediate restocking. Using GS1 DataMatrix, inventory can be continuously monitored. As soon as a product reaches a certain sales threshold, a reorder can be automatically triggered. This prevents important products from being sold out. At the same time, unnecessary excess inventory is reduced, as order quantities can be more precisely aligned with actual demand.

4. Targeted sales analyses

The 2D code can be linked to POS (Point of Sale) systems. Because more information is available for each product, sales can be analyzed in greater detail. For example, a supermarket can determine which batches with a best-before date are selling faster than others and whether customers prefer certain batches. Recalls or quality issues can also be tracked more precisely.

Synergy of online and offline strategies through omnichannel integration

The major advantage of the GS1 DataMatrix lies in its applicability across all channels. An omnichannel approach is crucial today for seamlessly reaching customers across various platforms. "Uniform product identification is the heart of successful omnichannel commerce"—and this is precisely what the GS1 DataMatrix code facilitates.

1. Uniform product presentation

Whether in the online shop, the app, or the brick-and-mortar store – products are identified identically. This builds trust because customers recognize the same product across different channels, thus having a consistent brand experience.

2. Click & Collect

Many retailers now offer the option of ordering products online and then picking them up in-store. Using 2D codes makes identifying and handing over goods more efficient. The reconciliation between online orders and in-store inventory becomes more precise, thus reducing waiting times and errors.

3. Cross-channel promotions

Intelligent category management typically also plans cross-channel promotions. Discount campaigns or special offers can be managed independently of the channel thanks to the GS1 DataMatrix code. Customers can receive digital vouchers upon request, which can be redeemed in the physical store by scanning the code. At the same time, the brick-and-mortar retailer can redirect the customer to the online shop if certain products are out of stock.

4. Synergy effects in data analysis

Data from brick-and-mortar stores can be combined with online metrics. For example, if certain product categories perform particularly well online, the in-store assortment can be adjusted accordingly, and vice versa. The extended product information in the GS1 DataMatrix provides the foundation for precisely recording and analyzing sales across all channels.

How the GS1 DataMatrix Code leads to better decisions in category management

The core of category management is the continuous optimization of the product portfolio and its presentation. The GS1 DataMatrix allows data from various areas to be combined and used to derive strategic decisions.

1. Categorization and analysis

Products can be better categorized through additional identifying characteristics (such as seasonal items, organic certification, or allergy information). If a company recognizes that a particular product group is in high demand, it can react more quickly. At the same time, less popular products can be removed from the assortment or optimized for specific target groups.

2nd place in the store

Shelf layout and product placement are crucial in brick-and-mortar retail. Based on collected data, it's possible to determine where customer attention is highest. Optimal layout leads to increased sales and reduces slow-moving stock. Continuously refining the store design based on this data is likely to result in a significant increase in sales.

3. Bundling and cross-selling

If the 2D code reveals frequently purchased products, category management can create targeted bundle offers. In the online shop, the system could automatically suggest suitable complementary products, while in brick-and-mortar stores, corresponding products could be placed next to each other. This increases the average order value and creates a pleasant shopping experience.

4. Customer loyalty through added value

"Understanding your customers means understanding your business." By giving customers the opportunity to access additional product information, they feel valued and competently advised. In the long run, this strengthens customer satisfaction and leads to stronger customer loyalty. In category management, this translates into significantly more stable demand and active word-of-mouth marketing.

Future prospects and innovation potential

Even though the GS1 DataMatrix code is already used in many industries (such as the pharmaceutical industry), its wider adoption in retail holds enormous potential. Especially when combined with technologies like RFID, sensors, or the Internet of Things, new opportunities are opening up

Automated checkouts

Cashierless stores are no longer science fiction. Products with 2D codes could be automatically scanned as the customer leaves the store. Combined with the customer's smartphone, the payment process would be completely instantaneous.

Smart Shelves

Shelves that automatically detect whether a product is still in stock are already gaining traction. Using the GS1 DataMatrix code, shelves can uniquely record which product has been moved and how many units remain. This creates continuous transparency regarding inventory levels.

Augmented Reality

Customers could use smartphones or AR glasses in the store to access additional product information as soon as they pick up the product or look at the code. From discount coupons and origin information to recipe ideas – the potential applications are diverse.

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Big Data analytics

The more detailed the data collected, the more insightful the analyses become. Artificial intelligence and machine learning can uncover patterns in purchasing behavior or potential problems. This results in a continuous improvement process in category management.

Data-driven decision-making is the key to sustainable success in retail

The GS1 DataMatrix code is far more than just a replacement for the traditional EAN barcode. Its higher data density and ability to store diverse information in a compact format offer enormous potential for retailers – both online and brick-and-mortar. The advantages range from enhanced product information and improved supply chain management to customer focus and seamless omnichannel integration.

"Data-driven decision-making is the key to sustainable success in retail"—and the GS1 DataMatrix code can make a crucial contribution in precisely this area. Both manufacturers and retailers benefit from more precise and comprehensive data, enabling targeted category management. Ultimately, the product range is optimally aligned with customer needs, leading to greater customer satisfaction and increased sales.

The ability to capture, analyze, and act on data in real time is fundamentally changing category management. What used to rely on estimates and a great deal of manual work is now accomplished with just a few scans and automated processes. Whether you're pursuing a comprehensive omnichannel strategy or optimizing individual brick-and-mortar stores, the GS1 DataMatrix code is key to unlocking the full potential of the digital age.

More and more retailers are recognizing the importance of 2D codes and switching from simple barcodes to them. This shift will accelerate as soon as the first successes become visible: more precise inventory levels, less waste, and increased customer satisfaction. Therefore, the motto is "act now to be successful tomorrow"—those who optimize their category management today using the GS1 DataMatrix code will benefit in the long run. In this sense, the 2D matrix code is far more than just a technical and functional tool. It is the driving force behind a new era in which data is not only collected but actively used to offer customers a perfect shopping experience.

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