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AI for logistics
AI for logistics

Logistics without manual chaos

We automate logistics processes with AI. We start with the ones where errors and manual work cost the most.

WHO IT IS FOR
Early stage

Logistics in spreadsheets and chats

Requests, statuses and documents are handled by hand in messengers and spreadsheets, and every error costs a delay or a penalty.

Growth stage

Volume grows faster than the team

The number of orders and shipments is rising, and dispatchers and operators have to be hired in proportion to the volume.

Scale stage

Decisions without a forecast

Purchasing, stock and vehicle loading are planned on experience, and the business regularly faces shortages or surplus.

WHAT IS INCLUDED
Analysis of logistics processes and the cost of manual work
Automatic document handling: waybills, invoices, customs data
Handling of requests and status inquiries from customers and carriers
Demand and stock forecasting based on historical data
Delay and deviation analysis that finds repeating causes
Integration with ERP, WMS, TMS and accounting systems
Effect dashboard: processing time, errors, cost
PROCESS

From request to result

[ 01 ]free · 30 min

Clarity Session

We review logistics processes and look for where manual work costs the most. You leave with a list of candidates. No sales pitch.

[ 02 ]14 business days

Analysis and prototype

We analyze the data and the process and build a prototype for the priority task. You get an effect estimate and a cost estimate.

[ 03 ]depends on scope

Build and integration

We bring the solution to a working state and integrate it with your systems. We test it on real data.

[ 04 ]ongoing, monthly cycle

Launch and development

We monitor quality and effect, and extend the solution to adjacent logistics processes.

Frequently asked questions

and answers

How is AI for logistics different from AI process optimization?+

AI for logistics is a solution for industry-specific tasks: demand and stock forecasting, logistics documents, shipment statuses, delay analysis. AI process optimization works with any internal company process: accounting, HR, support, document flow. If the main losses are in the supply chain, we start with logistics.

Do you need large volumes of data to forecast demand?+

A reliable forecast needs a sales history over a sufficient period, preferably one that captures seasonality. If data is scarce, the forecast will be rough, and we say so after the analysis, not after development. Document and request handling doesn't need those volumes and often shows an effect sooner.

Do you replace our WMS or TMS?+

No. The AI solution works on top of your systems: it receives data, processes it and returns the result where the team works with it. Replacing an accounting system for the sake of AI usually makes no sense.

How do you measure the effect of AI in logistics?+

We record baseline metrics before launch: time to process a request or a document, the number of errors, the frequency of shortages or surplus. After launch we compare the same metrics. The effect should be visible in the numbers, not only in how the team feels.

THE FINAL STEP TOWARD A SYSTEM

Ready to turn growth
into predictability?

Start with a free 30-minute Clarity Session.