Supply Chain Analytics

Get in touch with our Experts

Using data analytics to improve supply chain efficiencies and demand planning is becoming increasingly important in a global market place. By streamlining the supply chain and enabling real-time decisions, companies can significantly reduce costs as well as improve inventory management. Supply chain analytics can also help predict and forecast demand allowing for a first mover advantage right from the sourcing of products to in-store delivery.

Latentview helps companies forecast demand, increase margins, manage inventory more efficiently and manage logistics efficiently thereby reducing cost.


Demand Forecasting

Inventory Planning

Sourcing Analytics

Operational Planning

Related Blogs

Case studies

Models were developed for a top global technology solution and service provider using Ridge regression, halo impact analysis, and S-Curves. The GUI-based tool helped allocate budget across various activities optimally, which influenced an uplift of ~ $200 Million in opportunity value annually.