Xeligence for Retail

Retailers are losing more and more in profits as increasing numbers of competitors squeeze prices and hence drive margins lower. In reaction retailers, have expanded product lines and created additional sales channels ever reducing customer loyalty.

Adding new channels has increased cost and managing the supply chain optimally has become crucial to the modern retailer.

The best defence against spiralling costs and slow growth is to proactively manage the supply chain and build loyalty with customers though predicting an individuals purchasing habits and anticipating future needs.

Retailers need a proactive solution that can predict and “operationalize” next best offers for customers. The same proactive solution must be able to implement segmentation schemes, , provide workforce allocation, inventory optimization and many other applications, easily and swiftly.

Xeligence provides all the necessary pieces in aiding retailers to:

  • Drive revenue growth by making targeted cross and up sell offers in real time
  • Forecasting demand to optimise inventory levels
  • Provide consistency and more targeted marketing communications across all channels
  • And much more…

Have a look at our Product Sheet for Retail or Contact Us to learn more.

Want to Know More?
  • Why Xeligence?

      Compresses model building and deployment time from weeks to hours

      Has self learning and self training models – optimises, self manages, and recalibrates models with the arrival of new data and attributes

      The solution is “Delivered integrated” not just “Can be” integrated

  • Xeligence Features

    • Cross Functional Analytical Platform & Industry Solution Sets
    • Rapidly Integrates with Enterprise Applications
    • Deployable as a Real –Time Recommendation Engine
    • Self Training Data Mining Models: Eliminates the need for Statistician Assistance
    • Compresses the time and cost to build predictive models

  • Resources

    Customer Success
    Industries
    Case Studies
    Contact Us