Boost your Sales and Customer Engagement with PRE-B

Recommending the ideal purchase behavior for a retailer. A Recommendation engine suggests your customers their next purchase. It can also help you communicate better with your customers, improve customer experience and increase the conversion rate.

For firms using a recommendation engine, this will mean better targeting of customers with a right product. For customers, it becomes easier to locate the right product that they were looking for. Thus, providing a positive user experience.

PRE-B in a glance

Purchase Recommendation Engine for Businesses: Is a B2B Machine Learning based comprehensive tool for recommending ideal outlet purchase behavior.

  • Uses a combination of algorithms to achieve accurate results
  • Dynamic, configurable, scalable and mobile enabled
  • Can be cloud-based or on premises
  • Can be configured to consider specific business constraints
  1. Personalized Recommendation Engine for Retailer

Key Benefits

  1. Accuracy
  2. Customer Engagement
  3. Maximize Value of Visit

Real World Use Case

Problem situation

Value Delivered

Assist the sales man of a FMCG distributor, to deliver the right order at the right time (at a retailer). This will augment the sales planning related tasks.

  • Stores Segmentation: Similar stores are clustered together. This gives an insight into their common behavior patterns.
  • Dollar and product prediction: Predict the potential dollar value a store would buy.
  • Quantity Prediction: Quantity of items to be purchased.
  • Must sell SKUs recommendation: Must sell SKUs at different periods of time based on seasonality and trend.

Applicable Domains

Assist the sales man of a FMCG distributor, to deliver the right order at the right time (at a retailer). This will augment the sales planning related tasks.

  1. Retail
  2. Consumer Packaged Goods
  3. E-Commerce

... and Other Domains