COAX Software delivers DriveIQ, a custom cross-border logistics AI platform that cut late deliveries by 61%

COAX Software ihas announced the completion of a custom AI-based platform for predictive delivery and driver safety for a mid-size logistics company that runs 500 vehicles between Ukraine and Poland - DriveIQ. The project took eight months to complete. As a result, in the first 90 days after going live, late deliveries fell from 18% to 7% of all stops, dispatchers handled 31% more daily routes with no additional headcount, and driver turnover was reduced by 22%.

The problem modern logistics companies face

Contrary to popular belief, most logistics operations have enough data. They have GPS pings, TMS records, EDI feeds, and years of route history. But what they don’t have is the ability to act on that data quickly enough to matter.

COAX Software’s client faced this exact situation. Dispatchers spent an average of 12 minutes diagnosing a single delivery exception. Customer service lines were constantly jammed. Driver turnover hit 45% annually in a market already strained by shortages. The company was reactive by design, and the cost of that was showing up everywhere.
What COAX Software created to overcome this challenge

The platform is built on four capabilities that only deliver results when connected together.

• The predictive ETA engine is updated every 15 minutes with live traffic, weather and driver performance data. With 15 minutes of tuning it was able to identify 89% of delays in a 60-day window, giving dispatchers the early warning they need before a delay turns into a customer problem.

• When a late delivery is found, the auto-recovery optimizer brings up a rerouting suggestion that the dispatcher can accept with one click. The system considers driver safety scores and workload balance, not just distance, resulting in a 22% reduction in overtime hours and an 8% reduction in empty miles.

• The in-cab coaching system gives drivers real-time voice guidance on hazards, idle time, speed limit changes, and schedule buffers without requiring any screen interaction. The 12% reduction in fuel consumption came directly from this. Critically, the system also learns: alert types that individual drivers repeatedly dismiss get suppressed automatically.

• The SLA simulator lets dispatchers and sales teams test delivery windows before committing to customers, using probability bands built from historical route performance. This feature alone drove a 28% drop in SLA breaches by preventing over-promising on difficult routes.

Systems like DriveIQ often have robust functionality, but drivers keep trying to avoid using them at all costs. However, after the COAX team’s efforts on driver experience, they made this platform a shining exception.

Why driver adoption was higher than expected

The problem with tools for monitoring drivers inside the cab is the experience they often have with them. They often feel like surveillance to drivers who then disengage or leave. The COAX team went a different route.

Driver scorecards are based on anonymized peer benchmarks, not a pressing manager evaluation. And the performance data is just as balanced between safety, fuel economy, and on-time rates. The scorecard becomes a tool to coach, not a tool to punish.” The drivers know exactly where they stand and why. The result was an unexpectedly high rate of adoption and a measurable reduction in the company’s 45% annual turnover rate.

What this means beyond the numbers

Within 90 days of full rollout, two major retail chains that previously required logistics providers to use proprietary tracking systems initiated early partnership discussions with the client, citing DriveIQ’s capabilities as one of the key factors. The platform changed the external perception of the company from regional freight operator to tech-forward logistics provider.

For COAX Software, this project is a validation of what they have been building toward in transportation and logistics software development. With AI that earns adoption by being genuinely useful to the people who use it every day, modern systems bring genuine value that only keeps growing over time.