How AutoHiver Delivered 100% Pilot Success for 5th Element Logistyka

The Challenge

Can a real-world, constraint-heavy operation be automated without breaking SLAs?

5TH Element operates in a world of messy, real-life constraints: orders arriving as free-form text, drivers working in patchy coverage, and routes that must be reshaped on the fly when tasks fail or volumes spike. The team wanted to prove that an AI-assisted TMS could ingest unstructured data, keep routes executable offline, and continuously re-optimise the day without compromising service levels.

What We Implemented

Five breakthrough features that transformed logistics operations for 5th Element Logistyka.

1

Order ingestion from unstructured notes

AutoHiver parsed transport orders from free-form text in any format, converting them into structured jobs ready for dispatch.

2

Mobile operations that work offline

Couriers used the AutoHiver mobile app with offline Proof of Delivery (PoD), ensuring confirmations and evidence were captured even with poor connectivity.

3

Re-simulation after uncompleted tasks

When a stop failed or was skipped, instant re-simulation recalculated feasible routes and timings for the rest of the day.

4

Overload detection

Automatic alerts were triggered when undelivered consignments risked exceeding vehicle capacity.

5

Complex \"deliver & pick up\" orders

AutoHiver handled tasks requiring simultaneous delivery and pick-up at the same location – a flow that typically breaks traditional TMS systems.

Results That Delivered

AutoHiver proved it can handle real-world chaos while improving execution reliability.

Pilot Success Rate:

100%

Fully met and in some areas exceeded, client expectations

Delivery Evidence Lost:

0%

Offline PoD ensured no failed confirmations despite connectivity gaps

Route Re-optimisation:

Real-time

Routes recalculated instantly when tasks failed or were skipped

AutoHiver kept the full delivery flow intact – from unstructured order ingestion to field execution – even under patchy coverage, unexpected failures and complex order structures.

Real Business Impact

The pilot delivered measurable operational gains and a clearer path to scalable automation.

Planning Efficiency:

Smoother daily operations

Dispatchers resolved exceptions faster with re-simulation and overload alerts

Field Reliability:

Offline-ready execution

Couriers completed PoD and workflows without signal dependency

Process Readiness:

Complex flows handled routinely

'Deliver & pick-up' orders ran without manual workarounds or special cases

The pilot showed how AI-assisted workflows, resilient field tools and structured order ingestion can lift reliability, reduce friction and create a repeatable operational model across regions.

Client's perspective

“
We consider the cooperation with The Routing Lab to have been extremely valuable and successful. The results fully met – and in some areas exceeded – our expectations.
”
– Jakub Marciniak, Logistics Manager, 5TH Element Logistyka

Why It Worked

AutoHiver succeeded because it was built for real-world logistics – where time windows, constraints and connectivity matter as much as algorithms.

Built for Real Constraints

Time windows, capacities, rolling undelivered volume and on-site realities (gates, lifts, access rules) are first-class citizens in AutoHiver – not afterthoughts.

Resilient Field Execution

Offline PoD keeps delivery evidence intact regardless of signal quality, ensuring no gaps in compliance or traceability.

Continuous Re-Optimisation

One failed task doesn't derail the day – AutoHiver re-routes instantly to keep every plan on track and SLAs protected.

Fast Adaptation

Unstructured notes become structured jobs without process changes or lengthy implementation cycles, enabling teams to adopt automation seamlessly.

Make Your Last Mile More Reliable.

If your operations involve unstructured orders, offline moments or complex pick-up/delivery patterns, AutoHiver makes your last mile predictable and on time.

Want to see it in action? Schedule a demo with us.

Prefer email?

Contact us directly at [email protected]

By submitting, you agree to our privacy policy.