Retail & Commerce

Are you, as a trading company, concerned with a digital strategy? Would you like to bridge your internal and external data silos? Then you cannot avoid the topic of the digital information supply chain. The digital information supply chain not only offers new opportunities for customer loyalty, but also enables efficient industrial networks with your supply chain partners.

Retail and e-commerce companies are bridging data silos and boundaries in their digital supply chain with master data management (MDM). The advantage of master data management is obvious: the effort required to collect data is reduced and data consistency is ensured. In addition, production and logistics processes are accelerated with MDM and lead times are shortened.

Digital twins help retailers save time and money. A digital twin is a virtual replica of a product or process such as a physical supply chain. A digital twin can also serve as a replacement for a physical sample, for example, and is therefore sustainable because no waste has occurred.

The use of future technologies in the retail and e-commerce sectors, also known as Future of Retail Technology, makes it possible to create services that are personalized, digitized, networked and automated.

For example, an Autonomous Store, i.e. the automation of the sales floor, does away with the usual check-out and makes cash registers superfluous. In an autonomous store, customers experience a new and more targeted shopping experience thanks to a combination of cameras, sensors with IoT (Internet of Things) and artificial intelligence (AI).

If you, as a retail company, are concerned with the topic of smart stores, the following technologies come into play, which also have an influence on your business models: Electronic Shelf Label (digital shelf labels), Self-Check-out, Blockchain, Augmented Reality (AR)/Virtual Reality (VR) and Internet of Things (IoT).

If you are a company in the retail and e-commerce sector and have decided to digitize your business, you need experts who are familiar with Digital Platforms & Commerce Architecture. Our AWK experts support you in setting up the future system and technology landscape.

Digital Platform & Commerce Architecture deals with applications and core systems such as ERP, MDM (Master Data Management), CRM, PIM (Product Information Management), among others. If you have cross-channel processes, you also need to deploy headless and microservice architectures. Headless and microservice architectures are used, for example, in multi-shop scenarios with different store solutions.

With a digital omnichannel strategy, you can offer your customers a seamless, cross-channel customer experience across any device or location. Your customer experiences a personalized store experience while shopping and 24/7 customer service. If you as a retailer do not meet these expectations, you are one click away from losing your customer.

A digital omnichannel strategy puts the customer journey at the center. The strategy ensures that all customer touch points are seamlessly connected to your business, from the physical point of sale to social media, the website, email exchanges and mobile apps.

AWK shows you how to seize new business opportunities thanks to e-commerce, B2B commerce and omni-channel strategies. Thus, you offer your customers an integrated and seamless shopping experience.

Customer insights allow analyses in the areas of sales trends, shopping cart abandonment, and sales by product and channel. Customer insights help you as a retail and e-commerce company to understand your customers even better.

Thanks to Retail Analytics, you receive analyses of your stock levels, real-rime movements in the supply chain, and seasonal trends, which support you in procurement and sales in the store or in your e-commerce store. With Retail Analytics, you put the customer at the center. You get a sound basis for data-driven decisions.

When companies in the retail sector opt for data science, they use methods, processes, algorithms and systems to make strategically targeted decisions. Data Science supports retailers, for example, in recommendation marketing, trend forecasting, inventory management or cross- and upselling.

The use of artificial intelligence (AI) is versatile. AI is used, for example, in assortment design, order picking, dynamic price optimization or product suggestions. Artificial intelligence (AI) offers a huge spectrum. It supports the recognition of patterns, forecasts, language processing and much more.