How a Royal Canin Boosted Sales Growth Focusing Top-Performing Outlets
with Outlet-Specific Recommendations
with Targeted Product Suggestions
with AI/ML Powered Insights
Increase the order value by recommending additional products that are missing from the outlet’s basket with Suggested order Quantity based on orders from similar nearby outlets.
Increase product assortment by filling gaps in the outlet’s current selection, providing a wider range of products for customers.
Optimize orders based on demand patterns to ensure outlets are always stocked with the right products, minimizing stock outs and fulfilling customer demand.
Product Recommender enables salesperson increase lines per call and the overall order value, thereby helping them focus on building retailer relationships, covering more outlets and achieving targets.
The Product Recommender with SOQ uses machine learning to analyze user behavior and preferences, identifying the right products and quantity for each outlet.
The identified products are presented as recommendations using Suggested order quantity (SOQ) in the SFA application during the salesperson’s order-taking process.
These recommendations empower the salesperson to effortlessly pitch the right products and maximizing order value through range selling.
Explore how leading companies are achieving success using our products.
“One key advantage of Botree SFA is its Product Recommender feature, which uses AI and historical data to suggest products that similar outlets in the region frequently purchase. It also generates a list of SKUs based on that outlet’s order history, helping salespeople save time on order fulfillment and focus more on introducing new products. As a result, we were able to boost salesperson productivity, drive range selling, and ultimately increase sales”
National Sales Manager, Nabati, India.
