Consumer Goods & Retail
Software Solutions

With DXC’s C&R Customer Analytics IT solution for the retail industry, you can focus on customer behavior prediction to create more personalized interactions with the customer throughout the lifecycle. From implementing an analytics platform, through data engineering, to developing artificial intelligence models and business intelligence dashboards, DXC can help you focus on personalizing the shopping experience, offering everything from hyper-personalized marketing and promotions, to loyalty member recognition, to tailoring product recommendations relevant to the preferences of your customers. Chatbots and virtual assistants can use natural language processing to provide personalized shopping experiences, too. They analyze customer data, integrate knowledge databases and offer real time personalized recommendations.

In one instance, DXC created customized in-store displays that show personalized offers to customers in the aisle based on purchase patterns and preferences. Another of our clients saw a 25% increase in click-through on personalized offers, improving conversion and ROI, by leveraging our capabilities. Yet another profited from data-led transformation to deliver its customers more personalized offers, enabling the company to increase loyalty and revenue which has helped speed up the retailer’s growth.

Yes, DXC leverages AI to provide solutions for shrinkage prevention and mis-scanning, as well as shopper flow and queue management. With dynamic price adjustment, we can help food retailers monitor current stock and its best-by dates, and adjust the price and issue coupons to sell these products before they expire to decrease shrinkage and waste. And regardless of the sector you serve, our solution that uses edge-AI-powered cameras can track the self-checkout scanning processes, identify theft and mistakes, and alert security. Similar AI technology and sensors can track customer movement throughout the store, augment it with data and predictive analysis, and adjust floor configurations not only for better placement of high value products but also to improve the ability to handle sudden traffic surges and decrease wait times. 

Inflexible systems hinder agility and innovation. A component of our Agile Digital Core, ERP transformation is available via solutions such as the DXC PathWay to SAP S/4HANA, which moves your organization to the solution in under 12 months, leveraging the SAP Activate framework, AI, machine learning, analytics and more. It covers discovery and assessment, technical migration, business process improvements and SAP innovation implementations. With SAP’s product supply business processes, we helped one global CPG company that had acquired a large consumer health business integrate finance, sales and distribution, warehouse management, demand and advance planning operations, core and contract manufacturing, and infrastructure.

Another customer faced complexities, inefficiencies and lack of unity across digital channels due to several acquisitions. We developed a cloud IT solution: a global eCommerce platform that integrates all brands, shifting from a monolithic system to cloud-ready microservices. Each function—like order processing, customer profiles and payment—operates independently. This means one service can be updated or scaled without impacting others, improving reliability and resilience. We introduced an Agile approach, enabling the customer to respond to feedback, adapt quickly and roll out new features efficiently.

In today’s environment, it’s clear that loyalty programs, memberships and subscriptions matter a lot. Increasing customer retention rates by just 5% can increase profits by between 25% and 95%.

At DXC, we help companies move fast to achieve critical boosts in customer loyalty. We can build modern web and mobile apps, optionally enhanced with a Loyalty Management Accelerator, to boost customer engagement. Our approach is underpinned by modular platforms and microservices for speed and scalability. Our AI-based loyalty programs work by leveraging advanced algorithms and machine learning to analyze customer data and deliver personalized experiences. The AI solutions offer personalized, real time, dynamic offers and employee gamification to increase engagement. For one client we achieved a 20% increase in loyalty program participation, bringing with it higher retention and increased consumer life-time value.

Avoid supply chain disruptions, such as issues with final-mile delivery, and sales jeopardized by issues such as perceived pricing mismatches. AI business solutions include demand sensing, which gathers a data from multiple sources, such as historical sales and current inventory levels, to identify expected demand, and simulate various scenarios. Our AI-augmented retail analytics helps retailers optimize their operations by identifying inefficiencies in the supply chain, inventory management and store operations. AI also can analyze supplier performance data to identify the most reliable and cost-effective suppliers, and optimize delivery routes by considering factors like weather conditions. 

DXC’s AI-powered Price Recommendation product learns markdown price elasticity and optimizes markdown recommendations based on real time price and stock sales information. Our highly scalable system provides data visibility, with a full audit and explanation for each price recommendation, and allows you to override markdown levels (up or down).

Yes. In fact, we did so for one of the world's largest retailers, with over 100 years of success on the market, and with more than 5,000 stores in its global network, when it decided to standardize and optimize its store operations processes, and reduce customer waiting times in queues, all with the aim of increasing brand loyalty.

The client wanted a store Digital Twin solution that would help run simulations and test many hypotheses before being field tested in actual stores. Using extensive historical data provided by the client, DXC created a 3D model of the store for the simulation that took into account the average time spent by each customer in store, the average number of customers per unit of time, the amount of goods on the shelves, the number of cashiers and many other criteria. The Digital Twin solution can leverage retail data analytics to provide insight into how to optimally arrange the goods on the store shelves for different purposes (such as keeping the client in store longer or making seasonal products highly visible) and determine the quantity of each product item for stores, depending on their location, for example.