The NextOrbit platform generates out-of-stock alerts and prescriptive store orders by leveraging the power of Cloud, Big data, and Prescriptive Data Sciences. The alerts and orders are produced by the clues obtained from retail and external data. The retail data includes information such as point of sale, store deliveries, store orders and promotions. The collected data is then combined with external data such as weather, calendar events, income levels and social media indicators to enhance the accuracy of predictions. The resultant analytics are utilized to produce on-demand, daily and weekly predictions of SKUs (Stock Keeping Unit).
Besides, the platform also offers flexibility to directly feed the alerts into Retail’s Store Ordering System to facilitate automated replenishment of stock. Such streamlined automation ensures the availability of stock during the times of demand and ultimately makes the shoppers happy. “With declined rate of OOS, customers dedicate less time in searching and more time in shopping. This improves their basket size,” explains Rajgopal.
The insightful analytics by our platform allows us to transform the store ordering practice and shelf replenishment into a far more intelligent process
The company continues to provide such myriad benefits and, stays distinguished by the virtue of their platform that is priced on the basis of a subscription model. The model enables retailers to select a category or set of SKUs, experience benefits and then include more SKUs or categories. “Our subscription model relieves the retailers and CP companies from the compulsion of signing-up long term contracts,” reveals Shende.
In the days to come, NextOrbit envisions serving both Brick and Mortar retailers and e-commerce units to anticipate and mitigate Out-of-Stock events. “We are always working on solutions that enable us to provide more value to our partners and expand our market reach,” concludes Rajgopal.