Shipment requests
Routes, cargo details and dates have to be assembled from emails and attachments.
Extract shipment parameters and flag missing information.
AI implementation for logistics and transportation
Help logistics teams process incoming requests and transport documents, prepare shipment updates and track exceptions across the systems they already use.
Your dataDocuments, procedures and business systems
A measurable pilotOne workflow and agreed acceptance criteria
One delivery teamFrom infrastructure to user support
Where AI reduces repetitive work
Start with repeatable operations that have usable source data and a clear way to check the result.
Transport documents
Checking details across scanned documents and spreadsheets slows processing.
Prepare structured records and a list of discrepancies for review.
Status updates
Dispatchers repeatedly collect the same information for customers and managers.
Draft updates and exception summaries from connected operational systems.
How a task moves through the system
AI prepares the output. Access rules, review steps and escalation paths are defined before launch.
- 01
A request or scan arrives
- 02
AI extracts shipment details
- 03
Records are checked against your system
- 04
A coordinator approves the entry
Technology selected for the task
The architecture depends on your data, workload, languages and hosting requirements.
Answers grounded in your documents
RAG and BGE-M3 semantic search retrieve relevant passages from your knowledge base. Source references let employees check the information behind an answer.
We evaluate retrieval and answer quality using a reference set of questions. Requests with insufficient evidence are passed to staff.
Models adapted to your workflow
Our stack includes Qwen 3, Gemma, Mistral Small and DeepSeek-R1. We evaluate models against your use case and scope adaptation or fine-tuning when the data supports it.
Structured data from different formats
Process documents and spreadsheets and extract information from scans and images. GigaAM supports Russian speech workflows; speech recognition for other languages is selected and tested separately.
From a draft to an assigned task
AI agents prepare documents, tasks, notifications and approval steps. Actions with business consequences follow agreed rules and require approval where specified.
Your existing systems. Clear integration boundaries.
We assess integration with your TMS, WMS, ERP, CRM, email and customer portals.
Discovery covers available interfaces, data fields and read/write permissions. If an API is unavailable, we agree a file exchange or another integration method before estimating the project.
Your environment. Your access rules.
Deploy on agreed infrastructure: dedicated servers, virtual machines or containers. We agree hosting locations, data flows and processing arrangements with your IT team before any project data is transferred.
Access and isolation
Role-based permissions, Active Directory, VLANs, VPNs and isolated environments.
Operational controls
Activity logs, backups, restore checks and availability monitoring.
Quality and support
Answer evaluation, model error reviews, knowledge base updates and a user support channel.
Rates, delivery commitments and customer obligations are confirmed by your logistics team. Integration scope depends on the interfaces available in your TMS and WMS.
Measure the impact on your workload
Establish a baseline, then compare it with the pilot. The number of generated answers alone does not demonstrate savings.
Request processing time
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Field extraction accuracy
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Number of manual follow-ups
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Time released × hourly costCompare the potential value with infrastructure, model, support and review costs.
From discovery to ongoing support
You receive the architecture, integration documentation and operating procedures needed to run the solution.
- 01 / Discovery
Workflow and data
Choose the process, source materials and acceptance criteria.
- 02 / Design
Architecture and estimate
Agree hosting, integrations, cost and delivery scope.
- 03 / Pilot
Evaluation in practice
Configure the solution and review quality with your team.
- 04 / Operations
Handover and support
Train users, hand over documentation and support the system.
Start with one workflow
A possible starting point: Shipment request processing for one shared mailbox.
Scope, timing and budget follow an assessment of your workflow and data.
georgia@dinesco.com ↗+995 595 245 159