Truck Analytics using AI

AI Based Truck lifecycle Tracking ensures operations are done seamlessly and tracks the quantity of materials shipped from and into the Industry

How it works

Powerful Advanced Features

Problem Statement

High pressure operation ensuring seamless movement is prone to several hurdles

  • Inaccurate queue management of Truck arrival causing delay and Losses
  • Inaccurate count of parts and monitor Fall damage
  • Excess Cycle time for each truck
  • Unable to meet hourly truck targets
  • Wrong truck placement causing a safety critical incident
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Solution Provided

  • Truck arrival time, wait and delay time
  • Conveyer and forklift tracking performance and availability
  • Part count and time taken to fill each truck
  • Safety of operators and Fall detection
  • Real-time production pattern analytics

Features

  • Truck arrival time
  • Parking position monitoring
  • Loading Start time
  • Forklift tracking
  • Number of iterations of forklift
  • Conveyer arrival time
  • Part count in Conveyer
  • Pallet count
  • Product fall/damage detection
  • Operator presence monitoring
  • Tarpaulin PPE harness monitoring
  • Truck Leaving time
  • Total cycle time per truck
  • Delay time between 2 trucks
  • Wait time in the dock
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Return on Investment

No more operator Accidents or Fall Damage shipment

  • Reduce Wait time delay and losses by 50%

  • Increase number of truck per hour by 20%

  • Reduce Cycle time per truck by upto 25%

  • Realtime visualization with 100% visibility