Wish Farms quadruples inspection capacity and cuts rejections by up to 50% with Clarifresh

Berries and strawberries leave very little room for delay, so quality teams need to inspect incoming produce quickly and give the wider business the information it needs to make decisions. As Wish Farms expanded geographically, its inspection processes became harder to scale, manual paper trails consumed time, and keeping processes consistent across locations became difficult.

Wish Farms uses Clarifresh to replace much of the manual work around inspections with a connected digital workflow. When a dock inspection begins, Clarifresh pulls information such as grower ID and pack size directly from Wish Farms' ERP, and computer vision captures measurements including size, color and selected defects. An automated report is generated when an inspection ends, dashboards give relevant teams immediate visibility, and Clarifresh's AI analytics let teams ask questions of accumulated quality data directly.

According to Wish Farms, the platform lets its team conduct four times as many inspections, saving over 70% of the time it used to spend on manual work. An in-depth root-cause analysis of a defect trend that previously took around 10 hours can now be completed in approximately 10 minutes. Wish Farms reports it has significantly reduced claims and achieved up to a 50% decline in rejections since aligning its quality processes across locations.

• Pull inspection data from the ERP automatically so inspectors spend their time assessing product instead of typing.
• Standardize inspection points across locations to reduce subjectivity and give teams a shared view of quality.
• Send results to supply, sales and quality teams as soon as an inspection ends so accept-or-reject calls are fast.