Case Study: SunButter achieves better in-stock rates and data-driven growth with Crisp

A Crisp Case Study

Preview of the SunButter Case Study

With Crisp, datadriven decisions are SunButter’s bread and butter

SunButter, a seed spread brand sold in more than 26,000 retail locations and schools nationwide, needed better visibility into its supply chain as it worked through distributors amid labor shortages, bottlenecks, and rising inventory and logistics costs. The company’s sales team was spending hours manually pulling data from multiple retailer and distributor portals, and its in-house attempt to build a data lake and void detection model fell short. SunButter turned to Crisp to help make smarter, data-driven decisions around demand and inventory.

With Crisp’s dashboards and proprietary Voids Dashboard, SunButter now tracks sell-in, sell-through, sales velocity, and out-of-stocks to spot issues early and build stronger cases for higher order volumes and product distribution. The results included $250K saved in avoided stock-outs and voids, 10–15 hours saved per month on raw data manipulation, and better measurement of marketing and promotional lift. Crisp also helped SunButter improve distributor fill rates and strengthen retailer conversations with clear, data-backed evidence.


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SunButter

Justin LaGosh

Managing Director


Crisp

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