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Fortune 500 Saves $800K in Dwell Time with KoiReader

If you answer “no” to even one of these, you are already leaking time, cost, or control:

  • Do you have real-time visibility into every driver on-site like who they are, why they’re there, and how long they’ve been waiting?
  • Can you track dwell time accurately from entry to exit, without manual intervention?
  • Are parking zones enforced automatically, or still dependent on ground staff?
  • Do you detect SOP violations in real time?
  • Can you link each driver and vehicle to specific orders without reconciliation delays?
  • Do your teams operate on live data or after-the-fact reports?

When massive, complex, and high-velocity consumer goods companies need to move product at scale, every minute matters, especially at the last mile. Managing a constant stream of gig-economy drivers at a major distribution facility has become a costly operational challenge. Drivers from a leading last-mile delivery platform arrive in waves, park wherever they find space, check in using paper sheets, and navigate a pickup process that is entirely manual and largely invisible to operations managers. The result? Dwell time spiralling out of control, SOP violations going unnoticed, and inventory at risk.

That’s where KoiReader Technologies stepped in for a Fortune 500, and the impact has been transformative.

The Problem: Too Many Drivers, Too Little Visibility

The distribution facility serves as a critical hub for last-mile delivery operations, processing hundreds of driver pickups daily. Gig drivers arriving from a major “uberized” last-mile delivery fleet - the kind of on-demand model that has reshaped retail fulfilment, were creating a cascade of operational issues:

  • Parking:Parking: Drivers were occupying employee spots, sometimes even fire safety lanes, and overflow areas, with no mechanism to enforce designated zones.
  • SOP violations:Open truck beds, uncovered trailers, and vehicles with rooftop loading went completely undetected - each one a direct risk to inventory integrity.
  • No real check-in visibility:Manual paper-based check-ins meant operations teams had no real-time awareness of who was on-site, for how long, or what orders they carried.
  • Dwell time blindspot:The time from a driver’s arrival to departure could not be accurately measured, let alone managed or optimized.
  • Zero order correlation:There was no way to link a driver’s identity and vehicle to the specific orders being picked up, making reconciliation difficult and error-prone.

The Solution: End-to-End Last-Mile Automation with KoiReader
KoiReader deployed its KoiVision®-powered Yard Intelligence platform, combining three core capabilities that together created a closed-loop system for last-mile operations.

KoiKioskTM: Digital Driver Check-In
Drivers now check in at a smart kiosk the moment they arrive, entering their order details digitally. The kiosk captures driver identity, vehicle information, and order data in real time giving operations managers instant visibility into who is on-site and why.

KoiRadarTM: From Entry to Exit, Every Second Tracked
Once a driver enters the facility, KoiRadar begins tracking. The system autonomously monitors vehicle movement through the yard, from the designated parking zone to the pickup area and back to the exit gate. Every dwell time metric, every parking violation, and every SOP deviation is captured without any human intervention.

If a driver parks in a fire lane, it’s flagged. If a vehicle shows an open truck bed or uncovered trailer-putting orders at risk of damage, the system notes the violation immediately. Compliant, closed vehicles only: KoiRadar enforces it.

Real-Time Video Analytics Dashboard
A live KPI dashboard gives operations managers a comprehensive, real-time view of last-mile activity: dwell time by driver, dwell time by order, parking violations, driver idle time, and vehicle compliance status.

Leaders could see the full picture as it happened- not hours or days later.

The Commercial Impact

$800,000 in Dwell Time Savings
The impact has been significant. By automating dwell time tracking and actively flagging violations in real time, the company achieved approximately $800,000 in dwell time savings, a direct result of eliminating the hidden costs of idle drivers, parking bottlenecks, and manual reconciliation processes.

A Blueprint for the Industry
This deployment is now a model for what AI-powered last-mile yard intelligence can look like at scale. As last-mile delivery volumes continue to surge- driven by e-commerce growth and on-demand consumer expectations- the ability to manage gig-economy fleets with precision, real-time compliance, and full operational visibility is no longer optional.

For operations leaders asking how to tame the complexity of modern last-mile delivery, the answer is clear: automate from the moment the driver arrives to the moment they leave, enforce SOPs in real time, and let the data drive decisions.

KoiReader Technologies delivers AI-powered Yard, Warehouse, and Manufacturing Intelligence solutions for Fortune 500 enterprises.

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KoiVision® Newsletter

KoiVision® is the Logistics, Supply Chain, and Industrial Automation Newsletter where we highlight how you can reimagine operations through Deep Tech Insights.

Written by

Ashutosh Prasad

Founder & CEO, KoiReader Technologies

Dated

March 26, 2026

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