Maple Leaf Cement turns field reports into AI-verified evidence

Field activity was reported by the agents themselves, which made it difficult to prove whether an agent had actually visited an assigned location. Management had limited visibility into routes, shop visits and the time spent at each stop. Manual reports were slow to compile and review and could contain errors. Photo and video evidence carried its own risk: footage could be reused from earlier visits, duplicated between agents, or recorded from another screen instead of captured live in the field. As the field team grew, trust-based reporting no longer gave leadership the reliable picture it needed.

The platform adds a verification layer on top of field reporting. Route and dwell-time tracking shows agent routes on maps and calculates time spent at each visited shop. AI video and billboard verification, built on the Google Vision and Google Gemini APIs, analyses retailer and billboard footage and validates the visible content as field evidence. Duplicate video detection flags identical or near-identical submissions, including reuse across agents, while visit history validation compares new evidence with previous submissions within a defined recency period. Anti-spoofing detects media captured from another screen rather than live in the field, and OCR reads billboard and image text to support validation. As an option, AI voice calls through VAPI or Twilio can automate visit confirmations, notifications and reminders.