White Paper

Intelligent product recommendations in FMCG sales

Discover our Product Recommendation Engine for agile and market-oriented field sales management

For more revenue potential, optimized assortment decisions, and sustainable customer loyalty.

Sales boost in the B2B environment

The consumer goods industry is undergoing change: More and more competitors are entering the market, segmentation is becoming more detailed, and customer needs are shifting faster than ever. For sales, this means that opportunities in retail are often difficult to identify and seize in time. Traditional approaches are increasingly reaching their limits. At the same time, the flood of data is growing: sales and POS data, CRM information, promotions, and external factors such as regional events or trends all need to be taken into account. The central challenge lies in meaningfully connecting these heterogeneous data sources in order to derive concrete recommendations for action.

Our whitepaper demonstrates how companies can unlock this potential with the help of our Product Recommendation Engine and intelligent machine learning (ML) algorithms. It outlines how product recommendations can be generated based on diverse data sources and seamlessly integrated into existing sales processes. Embedded in the CRM system, the central workspace of the field sales team, the solution provides hands-on support in day-to-day operations. The result: a more agile, precise, and efficient sales process that responds faster to market dynamics, engages customers with data-driven arguments and creates sustainable competitive advantages.

The contents of our whitepaper at a glance

Discover which internal and external data sources are relevant for effective sales support—ranging from ERP and CRM data to promotion data and external market information. The whitepaper illustrates how these data sources can be systematically connected to create a comprehensive, regionally and temporally up-to-date picture of the market situation.

The whitepaper demonstrates how a scalable data architecture consisting of a data lake and a data warehouse integrates heterogeneous data and makes it usable for analysis. On this basis, intelligent ML algorithms generate context-sensitive product recommendations, which are delivered to the field sales in a transparent and practical way through Explainable AI.

Using SAP BTP and SAP Sales Cloud as an example, this whitepaper demonstrates how the insights gained can be seamlessly embedded into day-to-day sales operations. Field sales teams receive context-sensitive recommendations for product placements at each outlet directly within the CRM, enabling data-driven sales conversations and increasing conversion rates.

Want to learn more?
Download our whitepaper now and discover the potential of outlet-related and context-sensitive product recommendations for the field sales!

Intelligent product recommendations in FMCG sales

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4brands Reply

4brands Reply is an industry expert in the consumer goods sector, combining analytics, consulting, and systemfinc integration into a holistic approach. With extensive SAP expertise and innovative, data-driven technologies, we create seamless and flexible end-to-end processes that future-proof your business. In addition to modern data and CX solutions, our offering also includes integrated planning in all its facets: from corporate and demand planning to account and promotion planning. We leverage deep AI expertise to optimise your processes - always with the goal of strengthening your brand and creating an outstanding customer experience.