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Boost your logistics operations efficiency by up to 7×

Automate the handling of external deliveries with intelligent ICR agents. Replace manual checking of 10,000 delivery notes with instant, digital verification integrated with WMS. The goods receiving process accelerates to a fraction of a second. Implementation in 42 days.

Schedule a consultationSchedule a consultation Choose your areaChoose your area
Warehouse logistics — operations automation
7×
Increase in document efficiency
ICR Doc AI processes 10,000 delivery notes/month
60%
Reduction in operational costs
Elimination of manual transcription and assortment errors
42 days
Pilot implementation time
From process audit to production launch

From manual documents to intelligent logistics

5–10 minutes per document. Multiply by 10,000. This isn't a people problem — it's a systems problem.

9:41
Piotr (Warehouse manager)
Verify delivery note WZ-2024/8821 from the supplier — check quantities and weight.
ICR Doc Agent (Xelto AI)
Document read. Quantities match the order. Weight of item 3 deviates by 2% — anomaly reported for verification.
Document WZ-2024/8821
Items 48 / 48 matched
Anomaly Item 3 — weight: 102% of norm
Status For review
10,000 delivery notes per month
Each manually read and verified — the bottleneck blocks the entire operational flow.
5–10 minutes per document
Multiplied by tens of thousands of operations per month, that's hundreds of work hours that can be recovered.
Assortment and weight errors
Lead to costly secondary pallet repacking and delays in order fulfillment.
Empty picker runs
Inefficient picking routing generates time and cost that can be eliminated through route optimization.

Your digital logistics team

Four tools. One coherent system. From delivery note to optimal warehouse layout.

The decision is yours

The system prepares a complete set of data and recommendations and automates operational decisions. Depending on configuration, selected actions may require human authorization with one click.

ICR Agent reads and qualifies automatically
The agent reads the document, verifies quantities and weight, qualifies the decision or escalates an anomaly — before it reaches the operator.
Manager approves only exceptions
Only non-standard cases reach the warehouse manager. The rest passes automatically to WMS — without losing control.

New AI employee deployed in 4 weeks

Your new agents know enterprise-grade tools. They seamlessly map logistics and financial data.

Enterprise integrations
Agents map logistics data without changing WMS infrastructure. Diagnosis and mapping are included in the project scope.
SAP Oracle JDE Manhattan WMS Infor WMS Client ERP
Deployed in 4 weeks
From contract signing to the first agent in production. No months of implementation and no IT project risk.
7×
efficiency increase
60%
reduction in operational costs
10k
delivery notes/month automated
42 days
pilot implementation

Proven results.
Not promises.

Case Study
Challenges
Secondary pallet forming Inefficient multi-picking Empty runs Assortment errors
Talk to an expertTalk to an expert

Use Case Example

Automated PDF Order Entry

The LLM model reads PDF semantically — understands customer intent, maps products to ERP indexes and rounds quantities to full packaging units. AI Voicebot calls the buyer when it detects a stock shortage, suggests alternatives, and autonomously updates the order via API.

Full Use CaseFull Use Case
100%
orders matched to logistics units
2 min
stock shortage resolution time
0%
ERP index errors

Your data never leaves the organization

See full architecture

GDPR
GDPR compliance Full compliance with EU personal data protection regulations.
ISO 27001
ISO 27001 certificate International standard for information security management.
No model training Your data never reaches public AI models.
Human-in-the-Loop Every critical decision requires human approval.
Air Gap & Firewall Local AI works exclusively within your infrastructure.
On-premise / Private Cloud System and data never leave your company.
RBAC and ABAC Management sees everything, employee only their own operations.
Data masking PII masked automatically before reaching the AI model.
Go to Trust CenterGo to Trust Center

Questions asked
before every implementation

Yes — via API. Data mapping is done in the diagnosis phase. No WMS infrastructure changes required.
ICR Agent handles all formats. Extraction scope and accuracy are discussed during the diagnosis.
Yes — segregation rules are configurable. We define them together in the audit phase.
Processing time per document before AI vs. after AI. Example: 10,000 × 5 min = 833 work hours per month. After implementation: marginal. We calculate together during the diagnosis.
No. The pilot starts on a selected process in parallel with current operations. No downtime.

Your warehouse can work
more efficiently

According to PwC, only 34% of enterprises are able to take AI solutions beyond the pilot phase and into production. At Xelto, we start with an audit — we calculate ROI before you make a decision.

Schedule an auditSchedule an audit Let's talkLet's talk