This article was co-authored by Cyril Ovely from Vxceed.

Consumer packaged goods (CPG) companies in emerging markets encounter significant difficulties in retaining revenue and nurturing customer loyalty. Despite investing 15-20% of their revenue in trade promotions and loyalty programs, adoption rates often fall below 30%, largely due to program complexities and varying retailer requirements.

Vxceed’s innovative Lighthouse platform aims to address these challenges with its loyalty module, utilized by prominent CPG brands across Southeast Asia, Africa, and the Middle East. The AI-driven toolkit empowers field sales teams by generating tailored sales pitches that resonate with individual retailer data and trends, enhancing engagement and boosting loyalty program adoption.

This post discusses how Vxceed harnessed Amazon Bedrock to create this scalable AI-powered multi-agent solution, enabling personalized sales messaging for field sales teams. The solution, designed specifically for emerging markets, integrates a secure, serverless architecture using AWS services like Amazon API Gateway and DynamoDB, ensuring both data security and scalability.

Key elements of the solution include mobile applications for sales teams, intelligent agents for orchestrating content creation, and a secure data services layer. These integrations facilitate natural language interactions, streamline enrollment processes, and optimize program performance.

The implementation has led to remarkable results: a 95% accuracy rate in addressing loyalty program queries, increased program enrollment by 5–15%, and improved operational efficiencies, including a 20% reduction in enrollment processing time.

Looking ahead, Vxceed will further enhance its solution by optimizing AI costs and introducing additional language capabilities, solidifying its commitment to revolutionizing CPG sales management through AI. For companies interested in such AI-driven transformations, insights into orchestrating asynchronous AI agents using Amazon Bedrock can be explored further.