How a Royal Canin Boosted Sales Growth Focusing Top-Performing Outlets
With AI-Based Outlet Classification
With Early Identification of Declining Outlets
with Data-Driven Outlet Prioritization
Identify outlets showing signs of de-growth before it impacts business. AI analyzes historical sales, brand mix, and SKU-level patterns to highlight risks early.
Empower salesmen with a growth-focused outlet list. Prioritize visits based on outlet potential rather than gut feel, maximizing returns from each beat.
Get brand-wise, SKU-wise, and parameter-wise breakdowns of outlet performance at every outlet to tailor strategic action.
Use an interactive map to view outlet performance clusters. Hover to reveal performance drivers, helping sales managers take fast, informed decisions.
System evaluates each outlet based on key performance parameters—sales, brands, SKUs, order value, and frequency.
ML model categorizes each outlet across a performance spectrum — from High Growth to High De-Growth, based on historical and peer data.
Results are plotted on an interactive map with contextual insights per outlet, accessible via hover.
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 sale
National Sales Manager, Nabati, India.
