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Load planning that starts from the email

An example freight forwarder in Kaunas: an AI assistant reads the evening's orders and asks the dispatcher about anything unclear, the pallets go into the trucks, and the routes with arrival times are drawn on the map. Mark an order urgent or move it, and the plan works itself out again.

TolvažaFreight forwarding
  1. 1Orders
  2. 2Loading
  3. 3Routes

In the evening the dispatcher gets the orders by email. Every client writes differently: addresses, pallets and times are scattered through the text.

Incoming orders5 new
Rasa Petrauskienė16:42
Kauno pakuotė

Tomorrow's run to Šiauliai

Hello, tomorrow we need 6 pallets collected from our warehouse in Kaunas (Raudondvario pl. 162), ~3.2 t, delivered to Šiauliai, Pramonės g. 9 by 2 pm. There's no loading dock there. Thanks! Rasa

0%
0 / 13.6 m
0 / 33 places
Weight0 / 24 t
Tractor7.6 / 18 t
Trailer5.9 / 24 t
0%
0 / 7.7 m
0 / 18 places
Weight0 / 7 t
Front axle3.4 / 5.8 t
Rear axle2.6 / 10 t
Order No. 2418
Kauno pakuotė
Queued

The assistant reads this email after the ones before it.

What the assistant will do
  1. Recognise the client and their past orders
  2. Mark the addresses, pallets, weight and time
  3. Score its confidence in every field
  4. Ask the dispatcher about anything unclear; the rest goes into the plan
Plan: Wednesday 14 October5 orders39 pallets2 trucksKaunas terminal · Biruliškių g. 20

In the evening the dispatcher gets the orders by email. Every client writes differently: addresses, pallets and times are scattered through the text.

The company, clients, drivers and addresses are invented. The AI assistant's work in this example is acted out with prepared data. Distances are typical road kilometres; prices are typical for Lithuanian hauliers in 2026.

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We build an AI assistant for orders that arrive by email, load and route planning, and the drivers' paperwork around your fleet, clients and rates, and connect it to your accounting and GPS systems. On a first call we go through how you work today.

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