Forecast demand
Builds demand forecasts from historical sales, seasonality, and current signals — with confidence notes so you know where the model is unsure.
AI Supply Chain Optimization
AI supply chain analyst that turns raw signals
into forecasts, reorder plans, and drafted POs.You approve. It commits.
An AI agent that watches your sales history, inventory, suppliers, and ERP, forecasts demand, flags stockout and overstock risk, drafts the purchase orders, and reconciles the numbers across systems — with a human approval step before any PO sends or any ERP change is committed.
Every SKUForecast, not guessed
Draft-firstYou approve before it orders
Your stackERP, sheets, WMS
BYOKYour AI keys
How a day runs
Yesterday's demand, today's reorder plan.
Every morning the agent turns fresh sales, stock, and supplier data into reviewed, ready-to-commit decisions.
ObserveOvernight sales, stock levels, lead-time and price changes
Forecast & draftDemand forecasts, reorder points, and drafted purchase orders
ReviewYou approve, edit, or hold — in one place
Commit / sendPOs go out, ERP is updated, the briefing is logged
What the AI agent does
A planner's daily motion — forecast, optimized, handed off.
It doesn't replace your judgment with a black box. It watches the numbers, prepares the decision, and gives you a clean handoff with a human checkpoint before anything commits.
Optimize inventory
Recalculates reorder points and safety stock per SKU, then flags stockout and overstock risk before it turns into lost sales or dead capital.
Draft purchase orders
Prepares POs at the right quantity, supplier, and timing based on the forecast and current lead times — ready for your approval.
Reconcile the data
Matches inventory, orders, and receipts across ERP, WMS, and spreadsheets so everyone works from one accurate number, not five.
Monitor suppliers
Tracks lead times, on-time rates, and price changes across your suppliers and surfaces the scorecard that tells you who to lean on.
Deliver the daily briefing
A morning digest of what moved, what's at risk, and the reorder decisions waiting on your sign-off.
Setup
Connected to your supply chain in minutes.
No engineering. Connect your systems, point it at your SKUs and suppliers, and set the approval rules you're comfortable with.
01
Connect ERP, sheets, and inventory
Link SAP or NetSuite, your Google Sheets and Excel planners, Shopify, and your WMS. The agent reads context and prepares work — no code, no middleware project.
02
Set service levels and approval rules
Define target service levels, safety-stock policy, and preferred suppliers — then decide what the agent can do on its own versus what needs your sign-off.
03
Review and commit
Each day it drafts forecasts, reorder plans, and POs. You approve in one place; it sends and updates the systems.
What it observes
Inputs the agent reads in.
It works from your real operational data — not a generic prompt.
Sales & order history
Historical sell-through, order volumes, and seasonality that the demand forecast is built on.
Current inventory levels
On-hand, in-transit, and allocated stock per SKU and location from your WMS and ERP.
Supplier data & lead times
Lead times, MOQs, on-time performance, and price changes across your supplier base.
ERP records
Open POs, receipts, costs, and item masters from SAP or NetSuite.
Planning spreadsheets
The Google Sheets and Excel planners your team already runs the forecast and buys from.
Shipment & logistics status
In-transit shipments, ETAs, and delays that shift when replenishment actually lands.
What it produces
Outputs the agent hands you.
Finished, reviewable decisions — not raw data you have to model yourself.
Demand forecasts
Per-SKU forecasts with confidence notes and the assumptions behind them, ready to plan against.
Reorder & safety-stock recommendations
Recommended reorder points, order quantities, and safety-stock levels tuned to your service targets.
Risk flags
Early stockout and overstock warnings, ranked by revenue and capital impact.
Drafted purchase orders
POs prepared at the right supplier, quantity, and timing — waiting for your approval before they send.
Supplier scorecards & reconciled reports
Lead-time and on-time scorecards, plus reconciled data reports that agree across ERP, WMS, and sheets.
Works with your supply chain stack
SAP
NetSuite
Google Sheets
Shopify
QuickBooks
Slack
Airtable
Notion
Human approval boundary
It prepares the decision. You decide what commits.
The agent never places an order or writes to your systems on its own unless you allow it. By default, anything that spends money or changes the record waits for you.
Runs on its own
- Forecasts demand and recalculates reorder points
- Monitors inventory, suppliers, and shipments
- Reconciles data across ERP, WMS, and sheets
- Drafts purchase orders and daily briefings
Waits for your approval
- Placing or sending any purchase order
- Committing inventory or ERP changes
- Contacting a supplier directly
- Anything you mark as approval-only
Use cases
Where teams put the AI agent to work.
Demand planning
Replace the manual forecast spreadsheet with a daily model that learns from what actually sold.
Inventory balancing
Catch stockouts and overstock early and rebalance safety stock before either one costs you.
Replenishment & purchasing
Turn the forecast into drafted POs at the right time, so buyers approve instead of building from scratch.
Supplier performance
Keep a live scorecard on lead times, on-time rates, and price drift so sourcing decisions use current facts.
AI agent vs a planning tool vs manual spreadsheets
Not another dashboard. A teammate that does the planning.
A planning tool shows you charts. A spreadsheet does the thinking but only as fast as you can maintain it. An AI agent does both — forecasts, drafts the buy, reconciles the data — and stops at your approval line.
| Factor | Planning tool / spreadsheets | Orchestra AI agent |
|---|---|---|
| Builds the forecast | You maintain the model | Forecasts daily with confidence notes |
| Flags stockout & overstock | You catch it if you look | Surfaces risk ranked by impact |
| Drafts purchase orders | Manual, from scratch | Prepared and ready to approve |
| Reconciles ERP, WMS & sheets | Hours of manual matching | One agreed number, kept current |
| Human approval | All-or-nothing automation | Built-in review before any commit |
| Cost | $90K+ planner or per-seat SaaS | Flat monthly fee |
FAQ
Common questions about AI supply chain optimization.
What does an AI supply chain agent actually do?
It handles the repetitive planning motion — forecasting demand from your sales history and signals, recalculating reorder points and safety stock, flagging stockout and overstock risk, drafting purchase orders, and reconciling inventory data across your ERP, WMS, and spreadsheets. Orchestra's agent is draft-first: it prepares every decision and a human approves anything that places an order or writes to your systems.
Will it place purchase orders or change my ERP without me?
Only if you let it. By default the agent drafts POs and system updates and waits for your approval before any order is placed, any inventory or ERP change is committed, or any supplier is contacted. You set the boundary — full review-first, or auto-commit for specific low-risk actions like a standing reorder under a set threshold.
How accurate are the demand forecasts?
Every forecast comes with confidence notes and the assumptions behind it, so you can see where the model is confident and where it's guessing. It learns from your actual sales history and current signals rather than a static formula, and because it runs daily it corrects as new data lands instead of drifting until the next planning cycle.
What does it integrate with?
SAP and NetSuite for ERP records, Google Sheets and Excel for planning, Shopify for sales data, QuickBooks for costs, Airtable for supplier and item tracking, and Slack for briefings and approvals. It reads across all of them to reconcile one accurate picture instead of five conflicting ones.
Will it replace my planners and buyers?
It removes the manual prep — rebuilding the forecast spreadsheet, chasing reorder math, reconciling systems by hand — so your planners spend time on supplier relationships, exceptions, and strategy. Most teams use it to plan more SKUs with the same headcount, not to cut it.
Keep exploring
Pair the AI agent with the rest of your team.
Turn today's demand into a drafted reorder plan.
Spin up a free account and deploy your AI supply chain agent — or book a demo and we'll set it up with you.
No code. Human approval before any PO sends or ERP change commits. Cancel any time.