Read messy inputs
Paste a receipt, upload a spreadsheet, or ask a plain-language question.
The AI-era fit
Inventory has always wanted an agent.
The work is conversational, scattered across tools, full of judgment calls, and always pointed toward action. That is exactly where agents shine.
User: We received 18 of 20 cases. Update stock?
Tool: find SKU by supplier order
Tool: calculate balance after partial receipt
Filo: I can add 216 units, mark 24 short, and keep the supplier order open.
Confirm ledger update
01 / Why agents fit
The inventory job is not one screen. It is a chain of reasoning.
Use tools
Fetch sources, inspect ledger entries, calculate days of cover, and compare supplier lead times.
Explain decisions
Show the math and assumptions behind the recommendation before anything changes.
Keep context
Remember the source, SKU, supplier, and prior correction as the loop continues.
Before agentsHumans translated the operation into software.
Click the right screen, find the right field, export the right file, explain the context again.
With agentsSoftware can meet the operation in language.
Ask the question, drop the document, confirm the action, and keep the loop moving.
02 / The important part
Agentic does not mean automatic chaos.
Filo should advise, explain, and prepare actions. Inventory changes stay grounded in sources, ledger entries, and operator confirmation.
- Ground every answer in source data.
- Show the recommendation math.
- Ask before changing inventory.
- Record every confirmed update in the ledger.