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95% shorter offer response time thanks to AI
What was the project about?
Our client, a large company in the TSL sector, was receiving huge volumes of e-mail correspondence sent to their main inbox. They wanted to be able to sort through these messages without having to involve any employees; they understood that, in a deluge of junk mail, they might potentially miss out on an attractive transport offer.
The idea was to create an automated solution that would fish out important transport offers (along with contact details) from this mass of e-mails. In addition, the solution would then use these data to analyse current pricing trends on the spot market.
one month
TSL
- Altkom AI Assist
- Process automation
- Software development
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Who was our client?
Our client is a leading transport and logistics company with 30 years of experience in the management of the passenger, truck and light truck vehicle distribution chain in Europe and Asia.
What were the key challenges of the project?
- Managing huge volumes of unstructured correspondence: the client was receiving hundreds of e-mails every day, which were difficult to sort through manually to identify attractive transport offers.
- Multiple languages: messages were being sent in different languages, which required the client to use advanced natural language processing (NLP) tools for content recognition and analysis.
- Lack of communication standards: a variety of message styles and formats fomented chaos, making it even more difficult to automatically isolate crucial information.
- High processing effectiveness: the client aimed at achieving a very high level of processing effectiveness (target: 85%) so as to minimise the need for human intervention.
How did we address the problem?
Our solution is based on Altkom AI Assist, which automatically processes e-mail messages to isolate transport offer information. Extracted offers, along with contact details, can then be used to draw up reports, analyse data and feed into an integrated TMS system.
In addition, we delivered a simple web app that allows the client to comfortably browse through the offers that are found. Users can filter them by date or sender and export any data of interest to an Excel file. If, for any reason, the process produces an error, this information will also be displayed in the app.
In this way, the client can quickly browse through potential transport offers and lose no time in responding to the most attractive ones.
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What did we do?
Need
Identifying business needs during a session with the client.
Solution
Developing a technical solution and presenting our offer.
AI model
Fine-tuning the Altkom AI Assist model to match the specific needs of the project.
Database
Launching the process in which mail is downloaded from the client’s inbox and saved to a database.
Processing
Launching the AI-assisted process of e-mail processing and offer finding.
Application
Creating a light web app for browsing offers.
What did the client get?
Altkom AI Asssist automatically reads and processes 85% of incoming mail.
The client can now quickly identify and respond to attractive transport offers.
Since the database is connected to BI tools, the client can keep a constant eye on current market trends.
What technologies did we use?
Altkom AI Assist
AWS Lambda
AWS Step Functions
AWS S3
AWS DynamoDB
AWS SQS
AWS EventBridge
AWS Parameter Store
AWS Bedrock
Head of Cloud UnitThe TSL sector still largely relies on e-mail to exchange information, which means some companies need to sift through huge volumes of correspondence and new data that require verification. They often take a long time to respond to transport offers or even miss them altogether in the chaotic mass of incoming messages.
This is why we decided to help our client and develop an AI-assisted solution that automatically reads, structures and processes incoming data. This allows them to beat others to attractive transport offers, without employees having to devote any of their precious time to monotonous and repetitive tasks.
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