Dataphyll Grow measures picker performance across a long, repeat-pick season, so you know who is productive, what each block costs, and where quality slips.
Multiple passes through the same block, large casual crews and fine quality tolerances make blueberries hard to manage on paper. Dataphyll Grow records each pick against the worker and the block, so productivity and cost per kilogram are visible from the first pass to the last.
Electronic piece-rate capture, accurate to the gram, linked to the worker who picked it.
Sign workers on and off individually or as a crew. Breaks and top-ups are recorded as they happen.
Reject rates trace back to the row and the picker, so supervisors can coach the same day.
Assign and manage orchard tasks from any device, and see the cost of each block as work happens.
Hours and picked weights flow through to PayHero and Agrismart. No re-keying, no paperwork.
Production, yield and labour cost while the harvest is still running, not weeks after it.
Yes. Every pick is recorded against its block and date, so you can compare passes and see how yield and productivity change through the season.
Supervisors sign workers on and off individually or as a group, and each worker has their own tag, so crew size does not slow the process down.
No. Weights, hours and quality notes are captured electronically and flow through to PayHero or Agrismart for payroll.
"Data-driven decision making is key for us now. With the data we collected last year, we can forecast how many pickers, crew leaders, and scanners we'll need for the next season – we have access to that data, and it's helping us plan ahead."
Ways to lift the productivity of a seasonal team while managing costs, and to build a crew that comes back year after year. Share a few details and the guide is yours, no obligation.
