Stock exceptions identified
before they disrupt your workflow.
AI agent for warehouse operations
AI agent for warehouse operations
The agent helps monitor stock, turnover and discrepancies between systems. It can prepare shortage alerts, summaries of unusual changes and proposed next actions. Calculations use current data and agreed business rules.
Benefits for your team
The team focuses on items needing a decision
The solution can support stores, distributors and businesses with several warehouses or sales channels. It helps identify shortages and discrepancies earlier and improves information handovers. We measure alert accuracy, response time and data completeness while allowing for integration delays.
Agent capabilities
The agent can collect stock data from agreed sources and compare it with thresholds. It highlights products requiring attention instead of making the team review the entire catalogue.
It compares ERP, WMS and store data while considering reservations and update times. Reports show where a difference occurred and which source needs checking.
It can identify low stock, unusual increases or products without movement. Thresholds and review periods reflect categories, seasonality and business practices.
Using available history, it prepares sales summaries and replenishment suggestions. Assumptions, data quality and forecast limitations remain visible to the buyer.
A discrepancy can create a task for the responsible person with products and sources. We define its priority and completion condition.
The agent helps find inconsistent SKUs, missing mappings and different descriptions of the same variant. Matching rules are explicit and tested before changing data.
It can list products at risk of shortage, expected deliveries and items needing a decision. Departments receive information suited to their work.
It records problem detection, team confirmation and resolution. This helps assess alert usefulness and reduce unnecessary noise.
What we can build for your business
Example workflow
A stock discrepancy identified before another sale
A store shows a variant as available while the warehouse system says the final unit is reserved. The agent compares current data, checks synchronisation timing and prepares an alert with the variant identifier and both values.
An employee receives a task to investigate. After confirming the cause, they can approve a correction or escalate an integration issue. Automatic availability changes can be added after defining the authoritative source and exceptions.
Data and integrations
APIs, CRM and ERP in one workflow
Integration can include ERP, WMS, your store and order data. We check update frequency, product identifiers and which system is the authoritative source of stock information.
We can connect ERP, WMS, your store and order management. We define how available stock, reservations and goods in transit are counted. Clear product mapping and an authoritative system for each data type are essential.
Workflow
The system retrieves stock levels and events from agreed sources.
The agent compares results with thresholds and flags shortages or discrepancies.
The responsible person receives a summary and suggested action.
What this process could look like
Preparing for implementation
Preparing for implementation
We need sample product records, the order workflow, update frequency and current alert rules. Together we choose a category or warehouse, thresholds and response owners. We start with observation and recommendations before enabling writes to systems.
Output and oversight
Know what the agent did and why
The team works on specific exceptions rather than reviewing every item. Stock adjustments, purchasing and availability changes require appropriate approval rules.
Further development
Further development
We can add an operations dashboard, scheduled summaries, purchasing support and confirmed availability for customer service. Each extension must respect reservations, permissions and stock update rules.
Questions and answers
Questions about this solution
It usually supports existing tools by analysing information, detecting exceptions and preparing actions. ERP or WMS can remain the inventory system of record.
It can prepare a purchasing proposal. Placing an order is a separate stage with limits, supplier selection and appropriate approvals.
We account for source update times and an acceptable delay window. Alerts should distinguish temporary differences from persistent discrepancies.
We can include that scope where consistent identifiers and location data are available. Mapping and stock aggregation rules are an important part of implementation.
Forecasts depend on data, seasonality and business events. They should show assumptions and support a decision, especially with new products or unusual orders.
We can design for that requirement. It involves selecting a suitable model and infrastructure and checking every connection. Not every deployment option processes data locally.
The price depends on the process, data, integrations and requirements. We separate implementation costs from estimated infrastructure, model and maintenance costs. Usage limits are agreed before launch.
Choose the next element
Which process would you like an AI agent to handle?
We design custom AI agents, automation and integrations for businesses. From process audit and prototype to deployment, quality control and ongoing development.
