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CRM customer list view with filtering options – automation of transport order acquisition

Automation of transport order acquisition at 80% thanks to AI

OUTCOMES

Results of partnership

24/7 campaign support

Thanks to Altkom AI Assist, our client can now handle campaigns and acquire new orders without any time restrictions. 

Automation of 80%
of all queries

Artificial intelligence takes care of c. 80% of all campaigns and transport order data collection processes.

100% customers served

AI never forgets any contact and never drops a conversation mid-way, which improves overall company image.

PROJECT

Genesis and business expectations

The client became acquainted with our generative AI-based solution — a virtual assistant designed to handle large volumes of incoming and outgoing correspondence — and subsequently approached us with a project inquiry. Their goal was to automate personalised email campaigns targeting customers who had not been in contact with the company for an extended period.

They required a solution that would run mailings with minimal manual involvement, including handling transport arrangements. All communication was to be captured in a separate application, where sales representatives could review conversation history, process ready-made orders, or step in where human interaction was necessary — for example, when a customer requested a phone call.

PROJECT TIME

March – July 2024

INDUSTRY

TSL

COUNTRY

Poland

SERVICES AND SOLUTIONS

TECHNOLOGIES

Amazon Web Services logo – cloud computing platform providing AWS services.

Amazon Web Services

AWS Lambda logo – serverless computing service by Amazon.

AWS Lambda

AWS DynamoDB logo – fast and scalable NoSQL database service.

AWS DynamoDB

AWS EventBridge logo – event-driven integration service.

AWS EventBridge

AWS Bedrock logo – service for building generative AI applications.

AWS Bedrock

AWS SQS logo – Amazon cloud-based message queuing service.

AWS SQS

Client communication with AI Assist on transport order details – automation of transport order acquisition
The client

Who have we helped?

Our client is a modern TSL company specialising in domestic and international full truckload road transport (up to 24 tonnes) and general cargo transport (vehicles of up to 3.5 tonnes). It has offices in several Polish cities and provides services all over Europe.

Dashboard with KPIs and parsed emails – automatyzacja przetwarzania korespondencji z AI
REQUIREMENTS

Business challenges

In the TSL sector, one of the key challenges remains the efficient handling of a high volume of email-based quote requests. Companies need to verify data quickly, respond to offers within tight timeframes, and avoid errors caused by the sheer volume of correspondence.

  • The client was looking for a solution that would:
  • Address the specifics of the transport industry and the nature of the goods being moved;
  • Enable smooth, natural communication with customers and quickly identify high-priority enquiries;
  • Interpret the context of messages, assess their commercial potential, and automate the initial screening of offers.

The goal was to relieve staff from repetitive tasks and significantly speed up responses to attractive offers, while maintaining a high standard of customer service.

By leveraging generative artificial intelligence, the project achieved remarkable scalability. This type of technology enables the simultaneous processing of vast volumes of data while delivering highly personalised service at the highest level, regardless of the size of the customer base.

Companies that choose to invest in generative AI now will gain a powerful tool — one that not only streamlines current operations, but also provides a significant competitive advantage in the future.

ACTIONS

Project execution process

Preparing Gen AI for training. Initial feeding with materials provided by the client.

AI solution with automated email analysis and KPI indicators – automatyzacja przetwarzania korespondencji z AI
Solution

Scope and delivery model

When we joined the project, we already had an AI language model able to communicate naturally in several different languages, understand intentions and react to a lot of situations it had been trained to handle. It only needed to be fed with our client’s data so as to better understand the conversational context and carry out mailing campaigns on behalf of our client’s employees.

 

For the purposes of the project, we developed a light web app similar to a CRM-class system, to enable company employees to quickly find their way around the new solution. The goal of the app was to store all the information relevant to the campaign, including conversation history or conversation status, in one place. The app was equipped with an AI model with predefined transport order parameters.

 

In this way, Gen AI now spontaneously sends out mailing campaigns to a list of customers provided by the client, asking them whether they require transport services. It continues the conversation until it has collected all the necessary information (loading/unloading dates and sites, transport type, cargo weight and dimensions). It is able to assess and terminate conversations that do not seem likely to lead to an order and mark conversations that require human intervention.

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