Boosting Sales by 12% with AI-Powered Product Recommendations
A prominent B2B e-commerce SaaS platform in the consumer packaged goods (CPG) industry sought to enhance its digital...

9 MIN READ

April 05, 2025

9 MIN READ

Driving Efficiency in E-Commerce Through Smart AI Recommendations

A prominent B2B e-commerce SaaS platform in the consumer packaged goods (CPG) industry sought to enhance its digital toolkit with advanced AI solutions. The client aimed to boost sales efficiency and improve the ordering experience by providing personalized, strategic product recommendations that align retailer preferences with manufacturer priorities.

ABOUT THE CLIENT

The client operates a large-scale digital commerce platform serving CPG manufacturers, distributors, and small retailers in over 15 countries. Their technology suite supports end-to-end sales operations– helping retailers manage orders, deliveries, invoices, rewards, and business insights all from a single mobile-first platform. The platform enables smarter, data-backed interactions that improve performance across the supply chain, benefiting sales representatives and retailers alike.

THE PROBLEM

The primary challenge was developing an effective recommendation system combining accurate historical purchasing data insights with strategic sales priorities. The solution needed to address two core objectives:

  • Provide personalized recommendations explicitly tailored to individual retailers based on their purchasing patterns.
  • Promote high-priority products determined by manufacturer strategies, optimizing sales efficiency and product visibility.

OUR SOLUTION

Programmers Beyond IT collaborated closely with the client to design and implement a robust, sophisticated, AI-driven recommendation engine. The comprehensive solution provided tangible enhancements through several key features:

1. Intelligent Product Recommendations: Leveraging advanced data analytics, the recommendation engine processed extensive transactional data, segmented products by geographic areas, and meticulously analyzed supply chain metrics. By accurately balancing sell-in (products sold by manufacturers to distributors or retailers) and sell-out (products sold by retailers to consumers) performance, the system ensured that recommendations precisely matched retailer needs while aligning strategically with business goals.

2. Personalized Prioritization: Advanced machine learning techniques were employed to customize product recommendations further. Detailed preferences, such as favored brands, specific packaging formats, and preferred product SKUs for each retailer, were seamlessly integrated, enabling highly personalized and targeted suggestions.

3. Seamless Mobile Integration and Usability: To ensure effortless adoption by sales representatives, the recommendation system was directly embedded into the client’s existing mobile application. This seamless integration provided immediate and practical recommendations, effectively enhancing representatives’ ability to deliver strategic, actionable insights directly during regular workflows.

4. Continuous Optimization and Adaptability: The system was designed for adaptability and continuous improvement, utilizing feedback loops and ongoing analytics to refine recommendations regularly, maintaining effectiveness and relevance over time.

SKILLS

Data Engineering Machine Learning Cloud & DevOps Software Engineering

 

TECHNOLOGIES

Databricks PySpark Azure DevOps Apache Airflow

 

CLIENT RESULTS

The implementation yielded significant early successes:

  • 12% increase in sales for strategically prioritized products within the first deployment phase.
  • Enhanced sales representative effectiveness through targeted, data-driven recommendations.
  • Ongoing refinements continue to improve results, reinforcing the client’s commitment to leveraging advanced analytics and AI technologies for sustained sales performance and operational efficiency.

The client remains committed to further evolving its platform, ensuring sustained improvements in sales outcomes and retailer experiences.

HOW TO MAKE THIS HAPPEN FOR YOUR BUSINESS

Merging sales processes and AI-driven recommendations will significantly boost your business’s effectiveness and efficiency. To replicate this success, identify key sales challenges and strategic goals. Prioritize seamless user experiences and continuous improvement through regular feedback loops. Partner with experts like Programmers Inc. to integrate advanced analytics and AI technologies tailored to your industry and workflow.

Reach out to Programmers Beyond IT today to explore how our AI and data-driven expertise can drive tangible business results for you.

Stay up to date on the latest trends, innovations and insights.