Logistics Operations Automation

Outcome

Within the first few months the company achieved:

• 30% faster processing of new transport orders
• approximately 35% less manual work on documents and status updates
• faster administrative delivery confirmation
• fewer data transfer errors between documents and systems
• better visibility of delayed documents and problem deliveries
• faster response to customer inquiries about shipment status

Business impact

At 900 orders per month, even a moderate reduction in manual work frees up real operational capacity. That capacity can go toward better planning, faster response to deviations, and higher-quality customer service — instead of mechanical data re-entry and document checking.

The benefit isn't just faster administration. The benefit is a better-connected process between orders, transport, documents, and customer communication.

What AIIA actually did

AIIA didn't just switch on automation.

The team designed the entire workflow, defined the processing rules, built data extraction and validation logic, linked documents to delivery status, and set clear metrics for real operational improvement.

The end result isn't automation of a single task. The end result is a logistics process that runs faster, more accurately, and with less friction.

In brief

AIIA helped this logistics company automate the processing of transport orders, bills of lading, and delivery confirmations, reduce manual work, and speed up all administration around each shipment — without replacing existing systems.

Details

Transport document automation for a logistics company

Summary

A mid-sized logistics company was processing a large volume of transport orders, bills of lading, delivery confirmations, and customer status inquiries, but much of the process was manual. Data was being transferred between emails, PDFs, Excel, customer portals, and the internal system. This slowed processing, created errors, burdened dispatchers and administrative teams, and made it harder to keep customers and partners informed in time.

AIIA designed and deployed an automation layer that handles incoming transport orders, extracts data from bills of lading and accompanying documents, updates statuses, and routes problem cases. The result: a faster, more accurate, and significantly less manual process from order to confirmed delivery.

Client

• Mid-sized logistics company
• 190 employees
• 1 central office and 2 operational bases
• 14 people across dispatch, customer service, and transport administration
• Approximately 900 transport orders per month
• Approximately 1,100 bills of lading, delivery confirmations, and accompanying documents per month

Challenge

The company had a stable workload and established routines, but the administration around deliveries was too dependent on manual coordination.

Transport orders arrived by email, phone, and attachments. Some information had to be re-entered into different systems. Bills of lading and confirmations arrived in different formats and often needed manual checking. When a document was missing, a status was unclear, or data didn't match, the team searched for information across drivers, partners, the warehouse, and customers.

This led to:

• slow processing of new orders
• delays in status updates
• extensive manual information searching
• slower post-delivery invoicing
• unnecessary burden on dispatchers and administrative staff

The company wasn't looking for a document reader. They were looking for a better-working logistics process with less manual work and better traceability.

Solution

AIIA deployed an automation layer built around the actual process from order intake to confirmed delivery and administrative close-out.

The solution had three main parts:

Automatic intake and structuring of transport orders The system handled incoming orders from email and attachments, extracted key fields, and prepared them for recording and processing. This reduced manual re-entry and meant every new shipment started faster.

Processing of bills of lading and delivery confirmations After transport completion, the system accepted bills of lading, read key data, linked them to the order, and updated status. The time between actual delivery and administrative confirmation was significantly reduced.

Automatic routing of problem cases When a document was missing, a status was unclear, quantities didn't match, or there was a discrepancy between the order and delivery — the case went to the right person with clear context. Staff stopped starting every check from scratch.

Why this approach worked

The goal wasn't to speed up a single administrative step.

AIIA started from the entire operational flow between the customer, dispatcher, carrier, warehouse, and administration. This meant automation covered the slowest and most tedious parts:

• order intake
• data extraction
• status update
• bill of lading processing
• delivery confirmation
• problem case routing

The effect isn't just faster data entry — it's a better-working process across the entire delivery chain.

Implementation

AIIA delivered the project in five steps:

1. Current logistics process analysis Mapping incoming orders, documents, processing steps, problem areas, and the most common causes of delay.

2. Automation rules Defining which orders and documents can pass through automatically, which require human review, and how deviations are managed.

3. Intake flow and data extraction Setting up automatic intake points for orders, bills of lading, and confirmations, along with data extraction and validation logic.

4. Status updates and traceability Automatic linking of documents to specific shipments and status tracking without manual email searching.

5. Tuning against key metrics After go-live: monitoring processing time, share of problem cases, update speed, and administrative workload.

Starting point

Before the deployment:

• the company processed approximately 900 transport orders per month
• approximately 65% of orders arrived by email and required manual data transfer
• average processing time for a new order was 7 to 9 minutes
• approximately 15% of deliveries had delayed confirmation due to a missing document or unclear status
• dispatch and administration teams spent over 140 hours per month on checks, status updates, and information searching
• some customer status inquiries were handled manually because information wasn't in the system in time