Drive-up Same-Store Sales by 2%
An AI/ML-based guided sales application to help field forces make data-driven decisions on the go.
Our intelligent Route-to-Market solution is now even smarter! Ivy Recommender sits on top of our solution and provides intelligent recommendations for each store, like must-sell lines, next-best SKU to sell, and more.
Our solution takes your master, promotional and transactional data as input and passes the data using 40+ parameters and validations. The engine picks the most appropriate algorithm from a list of algorithms based on the input data. Ivy Recommender, hence, is very different across verticals in consumer goods.
Our solution analyses a store’s past purchase history to identify the top-selling SKUs and recommends these Must Sell Lines to the field rep at the time of ordering.
By analyzing demographics, coverage, affinity and sales data within a segment of stores, our solution identifies SKUs not purchased by the store but perform well in others.
Empowers field reps with recommendations to increase sales at an outlet. These recommendations are derived by analyzing a customer's purchase history, market demand, and trends at nearby stores.
Retailers order the right products in optimal quantity to make the best shelf-space utilization and avoid out-of-stock. You never lose revenue as a consequence of stock-out and guarantee recurring sales in the future.
With less time spent on a store, a field rep can cover more customers in a day, allowing you to optimally staff your field force, improve utilization, reduce time-to-serve, and increase customer satisfaction.