The implementation of machine learning has led to incredible efficiencies in Clover's inventory, transportation, and distribution operations, which translate directly into improved customer product availability and delivery times.

With the goal of using technology and innovation to deliver value to our customers, we identified our global planning and distribution infrastructure as a significant opportunity for improvement through digital transformation.

This project included three essential goals:

  • Enhance the overall customer experience by improving product availability and delivery times.
  • Reduce overall inventory by ensuring products are stocked in the correct locations.
  • Provide better insights and accuracy of product forecasting to minimize or eliminate backorders.

Clover’s years of historical data provided a wealth of insights once it was analyzed and organized correctly using machine learning and artificial intelligence tools.

This cutting-edge work has led to incredible efficiencies in Clover's inventory, transportation, and distribution operations, which translate directly into improved customer product availability and delivery times.

“Absolutely everything leads back to the customer experience and to that end, we’re incredibly happy with what we’ve seen,” said Valerie Alberico SVP, Account Management and Sales Operations at Clover. “Customers are loving the fact that we’ve increased our fill rates, have seen a significant reduction in backorders and have the shortest lead time to get our products in the hands of our customers because our warehouses are now literally stocked with them in mind. The addition of machine learning to Clover has led to significant gains in terms of customer satisfaction across the board, which was always our goal in the first place.”



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