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
- Personalized Recommendation Engine for Retailer
Key Benefits
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Accuracy 
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Customer Engagement 
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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.
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Retail 
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Consumer Packaged Goods 
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E-Commerce 
