AI crop plan generation for a biocontrol company

The IPM expert spent approximately two hours building each crop plan from scratch after a discovery meeting. With a growing sales pipeline, expert time became the bottleneck that limited how many growers the company could serve, and plans sometimes stacked up for over a week.

Discovery data captured in CRM notes and meeting transcripts arrived in inconsistent formats, which meant the expert often worked from incomplete information. Missing fields required follow up conversations that added days to an already slow process.

Turnaround time of one to two weeks between discovery meeting and proposal delivery caused qualified leads to cool off. Growers making purchasing decisions on tight seasonal timelines moved to competitors who could respond faster.

Built a web interface where sales staff enter discovery meeting data through structured fields covering crop type, greenhouse configuration, plant density, pest history, and grower preferences. Validation checks flag missing information before the plan enters the generation queue, eliminating the back and forth that delayed previous workflows.

Created an AI generation engine that references 40+ historical crop plans and a comprehensive IPM knowledge base covering pest and biological relationships, application rates by crop and season, and temperature based recommendations. The engine produces a complete week by week biological control schedule with quantities and estimated costs.

Deployed a review dashboard where the IPM expert validates AI generated plans, makes adjustments, and approves for delivery. The system generates a formatted PDF and emails it to the grower. Every human override logs to a feedback table that the AI engine references for future plan generation.