Run Planning Demo
Commodity parsing, SKU routing, staffing, throughput, hours, overtime risk, and crew recommendations.
View run-planning proof
Book Demo
Private AI for packing house operations
inSite Pro turns line layouts, equipment records, electrical drawings, labor rules, service contacts, and run history into a practical floor assistant your team can use from an iPad or phone.
Built from real workflows
The strongest proof is not that it chats. It knows the line. These demos use an anonymous inSite Pro workflow modeled on real packing house operations.
Commodity parsing, SKU routing, staffing, throughput, hours, overtime risk, and crew recommendations.
View run-planning proofEquipment records, drawing previews, motor context, warranty notes, and service-ready issue packaging.
View service proof
Run planning
Operators can type a normal prompt like "Citrus, 400 bins, 14 SKUs, average field run" and receive a fast plan based on the line's configured rules.
Breakdown support
inSite Pro connects equipment records, drawing previews, service contacts, photos, and chat history into a service-ready workflow.
What it does
Plan labor, throughput, routing, hours, risk, and priority before the shift starts.
Look up machines, motor references, line areas, and service contacts from client-specific records.
Open the right electrical or line-layout PDF from the same workflow where the issue is being discussed.
Capture damaged equipment photos and keep them attached to the case history and service package.
Train on labor rules, line layouts, pack styles, warranty notes, grower reports, and SOPs.
Use Open WebUI for model access, user management, and usage visibility while keeping a custom UI.
Low IT overhead
Screen demos
Start with the overview, then use the short training clips as a rollout library for operators, supervisors, maintenance, and pilot users.
Pilot offer
A focused trial for one packing line: collect documents, configure the assistant, test with power users, tune rules, and produce an ROI review.
Ready when the line is
Send one line pain point, one recent breakdown, or one run-planning example. We will show how it becomes a working assistant.