AI Agent for Inventory — Built for Chaport
Automate Inventory for teams using Chaport. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
Nightly sync complete. 3 SKUs auto-reordered:
Meeting notes
- • SKU-2841 (Black tee, M): 18 units → reorder 200.
- • SKU-1077 (Mug, white): 6 units → reorder 150.
- • SKU-0413 (Sticker pack): 142 units · within range.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Chaport
Authorize Chaport and Arahi AI immediately starts monitoring incoming tickets and support events.
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Chaport.
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Chaport. Monitor resolution times and satisfaction scores live.
SKU-2841 (Black tee, M): 18 units → reorder 200.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Inventory ledger with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Inventory · 03/10 sync.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Manual inventory in Chaport requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling inventory tasks in real-time as Chaport events occur — running 24/7 with consistent accuracy and zero fatigue.
The inventory agent scales automatically as your Chaport activity grows. Whether you process 10 or 10,000 inventory tasks per day from Chaport, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between Chaport and Arahi AI during inventory processing is encrypted in transit and at rest. We use OAuth tokens for Chaport access, never store raw credentials, and maintain full audit logs of every inventory action.
Yes. The inventory agent connected to Chaport simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single inventory workflow can pull data from Chaport, process it, and push results to multiple destinations.
The agent analyzes historical sales, seasonality, market trends, and chaport-specific demand drivers (events, weather, promotions) to produce SKU-level forecasts. Reorder triggers fire automatically when stock crosses calculated thresholds.
Yes. The agent tracks stock across warehouses, stores, and channels in real time, recommending transfers to balance availability and minimize stockouts — without the daily reconciliation work that chaport ops teams typically do manually.
Yes. You define exactly which Chaport events start inventory workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so inventory actions only fire when your specific criteria are met in Chaport.
When the AI hits an edge case during inventory processing in Chaport, it escalates to your team with full context — the Chaport record, what was attempted, and why it needs review. Your inventory pipeline never stalls or loses data.
The Chaport integration automates end-to-end inventory — including data capture from Chaport, validation, routing, follow-up actions, and status updates. Every inventory step that touches Chaport can be handled by the AI agent.
The dashboard shows inventory-specific metrics for your Chaport integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Chaport-triggered inventory workflows perform over time.
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