IT services for logistics teams

AI implementation for logistics

Configure an assistant for handling requests, working with documents and searching company knowledge. Start with one workflow whose output an employee can check.

Discuss AI implementation What we agree for the project

01Who it is for

Logistics and forwarding companies whose teams manually review incoming emails and requests.
Warehouses and 3PL operators that reconcile data across documents, registers and work systems.
Process owners and IT teams seeking a bounded project with clear acceptance criteria.

02Use cases to discuss

Review a request: extract agreed fields, identify missing information and prepare a clarification draft.
Reconcile documents: check selected fields against agreed examples and present differences for review.
Find information in approved documents, identify the sources used and refer uncertain questions to a specialist.

Regional routes: BIOCARD vans on the road

BIOCARD van on the road by the Belgorod region sign — Belgorod region

BIOCARD van on the road by the Udmurtia sign — Udmurtia

BIOCARD van by the Pskov entry sign — Pskov

03Components

What we agree for the project

Selected workflow map

Define the incoming requests or documents, users and expected output. Agree the assistant's tasks and where a person must remain involved.

Data and work systems

Review available exports, interfaces and data requirements. Choose an approach to TMS, WMS, CRM or 1C after the technical review.

Testable pilot

Agree representative examples and criteria before starting: field completeness, reconciliation accuracy or answers grounded in sources. Review errors and omissions separately.

Decision on further rollout

Use the pilot results to review the checks and propose the next scope. Agree roles, support and handover for the specific project.

04Implementation

From task to rollout decision

Choose one task

Describe who handles requests or documents today, which tasks repeat and what you want to change.

Agree the pilot boundary

Clarify the data, access and output format. The first discussion does not require a production database, passwords or customer documents.

Test representative examples

An employee compares the output with agreed examples. Review errors, difficult cases and review time before deciding whether to expand.

Define the next stage

Record the pilot findings, changes needed and rollout conditions. Confirm integration feasibility and scope for your environment.

06Cost

How we estimate the project

We estimate cost and timing after reviewing the workflow, data and technical constraints. Start with a short task description; pilot scope is agreed separately.

Task flow

Request and document types, their volume, the users and required output.

Data and integrations

Available exports and interfaces, the quality of examples and data-hosting requirements.

Acceptance and support

Acceptance criteria, specialist involvement, team onboarding and the agreed support process.

Pilot roles and boundaries

In the proposed pilot, the assistant prepares a review, discrepancy list or draft for an employee to check. Sending customer messages, changing accounting data and automated decisions require separate agreement. After the technical review, choose an integration approach and test it in the agreed pilot.

07FAQ

Questions about this solution

Which workflow should we start with?

Choose a recurring task with a describable good result: reviewing a request, reconciling selected fields or searching approved documents. Agree examples and acceptance criteria before the pilot.

Do we need to replace our TMS, WMS or CRM?

First review your workflow, interfaces and exports. A technical review determines the integration approach and any changes needed; compatibility is not assumed in advance.

Will AI reply to customers on its own?

The proposed default is a draft for an employee to review. Automated sending, permissions and actions in other systems require separate agreement.

What should we prepare for the first discussion?

A task description is enough for the first discussion. Agree the examples and how to share them separately.

How do we check errors and quality?

Use agreed examples in the pilot and compare output with a specialist's review. Record errors, omissions and handover cases; define the criteria for further rollout in advance.

Can you give a price and timeline in advance?

The estimate depends on the workflow, available data, integrations and acceptance criteria. Agree the project scope and terms after clarifying the task; there is no single timeline for every system.

08More solutions

Discuss your logistics workflow

Open the form, select “AI implementation” and describe one workflow. We will clarify the task, constraints and a possible pilot.

Discuss AI implementation +7 499 346 3588

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