AI inventory management for manufacturers who cannot afford a stock-out on the shop floor. Ask the agent about stock in plain language. It reads live stock, orders and consumption across every warehouse, points out what needs attention and prepares the next step, such as a purchase indent, for your team to approve.
In a traditional ERP the software stores the data and people do the analysis. In DotOne the agent does the analysis and your team makes the decision.
The agent only acts within the roles, permissions and approval rules you set in DotOne. Anything that changes data can be set to need a person's approval.
It is the Inventory AI Agent working on your live DotOne inventory data. Instead of opening stock reports and filtering them, you ask a question and the agent reads stock, orders and consumption, finds the items that need attention and prepares a report or a next step. In short, it is an AI inventory agent that does the checking your stores team does by hand today.
Only if you allow it. The agent works within the roles, permissions and approval rules you set in DotOne. You can keep it to recommendations and draft purchase indents, and anything that changes data can be set to need a person's approval.
Yes. DotOne tracks stock separately for each store and warehouse, so the agent can compare them, find where stock is short or in excess, and suggest transfers between sites. This works alongside DotOne low-stock alerts and automatic indents, which together make up AI inventory automation in DotOne.
No. The agent reads the same records your team already creates in DotOne: GRNs, issues, transfers and dispatches. The better those records are kept, the more useful its answers will be. AI stock management builds on good stock entries; it does not replace them.
In a 30-minute demo we connect the agent to a sample of your inventory management data and show what it finds.