Retail & eCommerce


Personalization, recommendation engines, predicting user behavior are all important challenges in the E-commerce industry; however, even straightforward and direct margin-impacting items like predicting inventory, sales and customer transactions is a key criterion for e-commerce players betting on high volume, low-margins.


Using historic time-series data, DataLens has worked on use cases of forecasting volume of inventory, sales and customer transactions. Collating data from multiple (inventory & sales ), we used forecast models to predict future volumes, thus providing business the insights to focus on.


Customer (business) team was able to focus, prepare for and deliver better customer experience, and margins in the right areas.

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