Retail & FMCG


Direct consumer relationships are a privilege, but they also have larger amounts of data. This amount of information holds the potential to initiative real front line difference, if retailers have the right approaches to make the most of this unique benefit.


  • Insights-driven retail merchandising
  • Insights-driven retail marketing
  • Insights-driven retail operations
  • Insights-driven FMCG



Campaign Architect

Big data extends the channel reach of loyalty program benefits from point of sale, Web and call centers to mobile and social capabilities.


Supply-chain Management

To detect the movement of goods inside the stores and display relevant information to the store personnel and customer.

Product Charter

The customer in-store experience is the hardest for retailers to analyze because there is no data available for their pre-checkout behavior.


Invent-Demand Forecaster

A demand forecast states the needed inventory that helps to overcome the fluctuations in demand. Additionally, a demand forecast enables a corporation to provide its customer higher value.


Engagement Hub

The engagement of customers with one another, with a company or a brand. The initiative for engagement can be either consumer- or company-led and the medium of engagement can be on or offline.


Geo Footprint

More the demand more will be the supplying of the food, Geo-based tracking made it easy to supply only the needed thing on the bases of the condition. So as to reduce waste.


Price Optimization

Client faced pressure to migrate to faster processing cycles so that Pricing Team could answer more difficult questions about consumers and markets in smaller time frames. Historically, client’s retail inventory & pricing was spread across multiple systems and multiple formats.



Providing up-sell and cross-sell recommendations to customers is the mostly widely adopted big data use case in the retail sector. This enables retailers to increase online purchases by recommending relevant products and promotions in real time.


Waste Reducer

Waste management has various functions; they are: collection, transport, processing (waste treatment), recycling or disposal of waste materials; usually produced by human activity. Big data helps in process the data as well as to provide analytics on it.