AI-Powered Inventory Intelligence

The 20-Minute Problem

Every morning, the same ritual. Open Seller Central. Check FBA stock levels. Open Shopify admin. Cross-reference. Open your spreadsheet. Update the numbers. Flag anything low. Draft a PO if needed. Twenty minutes on a good day. Forty if something looks off.

I have done this routine for years. It works. It is also a colossal waste of time.

The data already exists in ReplenishRadar. The math already runs on every sync cycle. The alerts already fire when stock gets low. What was missing: a way to ask a question and get a straight answer without clicking through six screens.

That is what the AI agent integration solves. Not a chatbot. Not a dashboard with a chat bubble glued to the corner. A structured interface that lets any MCP-compatible AI agent query your live inventory data and act on what it finds.

What "AI Agent" Actually Means Here

We should be specific because this term gets thrown around loosely.

An AI agent, in this context, is software that can call tools on your behalf. You say "check my stockout risk" and the agent calls ReplenishRadar's stockout-risk tool, gets back structured data (SKU, current stock, days of supply, risk level), and presents the answer in plain English. You say "draft a PO for the items at critical risk" and the agent calls the purchase order tool with the right SKUs and quantities.

The protocol underneath is MCP, the Model Context Protocol. Anthropic created it, and it has been adopted by OpenAI, Google, Microsoft, and Shopify. It is the standard way agents interact with external systems. We built our MCP server on top of it, exposing 32 tools that cover the full inventory workflow.

Your agent brings the conversational interface. We bring the data and the math. Neither is useful without the other.

32 Tools, One Inventory

The MCP server is organized by what you actually need to do each day:

See what is happening. Check stockout risk ranked by urgency. Pull inventory positions across Shopify, FBA, and warehouse locations. Get demand forecasts for any horizon. Surface active alerts for stockouts, overstock, sync failures, and forecast anomalies.

Take action. Get suggested purchase orders grouped by supplier. Create draft POs with quantities, reasoning, and constraint handling (MOQs, casepacks, working capital limits). Trigger an inventory sync to pull fresh data from your channels.

Look things up. List items filtered by supplier, status, or channel. Get supplier details including lead times and order history. Pull specific SKU data for ad hoc questions.

Every write operation produces a draft. The agent cannot submit a PO, modify inventory, or spend money. That constraint is enforced server-side with no override flag. A circuit breaker monitors call volume too. If an agent exceeds 200% of its rate limit, the API key auto-suspends for 60 minutes and you get notified.

Owner Pulse: The Briefing You Would Write If You Had Time

Most sellers want a daily or weekly summary of their business. Not a dashboard to interpret. A summary. "Here is what happened. Here is what needs attention. Here are the numbers."

Owner Pulse generates exactly that. It pulls from your stockout risk scores, demand forecast changes, supplier lead time drift, and inventory velocity. Then it produces a briefing in plain language with the specific SKUs and numbers that matter.

On Scale, you get it weekly. On Enterprise, daily or real-time. The briefing includes follow-up questions you can ask your agent to dig deeper into anything that looks unusual.

I think of it as the email you would write yourself on Sunday night to prepare for Monday morning. Except the data is fresher, the math is right, and you did not spend an hour compiling it.

SKU Mapping: The Cleanup Nobody Wants to Do

Catalog data quality is the unglamorous foundation that everything else depends on. If your SKU mapping between Shopify and Amazon is wrong, your forecasts are wrong. Your stock levels are wrong. Your reorder points are wrong.

We use AI-assisted suggestions to flag likely matches, duplicates, and mapping errors during catalog triage. The system surfaces candidates, you confirm or reject. It turns a multi-day catalog cleanup project into something you can knock out in an afternoon.

What This Looks Like on a Tuesday

Here is a real workflow. Not a demo. What we actually built this for.

7:01 AM. You open Claude Desktop and type: "Morning briefing." The agent checks 1,200 SKUs across two stores. Three are at critical stockout risk. One has a supplier delay flagged. The rest are healthy. Thirty seconds.

7:02 AM. "Draft POs for the critical items." The agent pulls suggested quantities from ReplenishRadar's reorder engine, creates three draft POs, and sends approval links to your Slack. You review the quantities, approve two, bump the third up by a case. Done.

7:04 AM. "What is my sell-through on the new product line this month?" The agent pulls the demand forecast and compares it to last month. Velocity is up 18%. You decide to increase next month's order.

Total time: three minutes. The old version of this took 25 minutes in dashboards and spreadsheets, and you still missed the supplier delay.

Audit Trail

Every agent call is logged. Timestamp, tool name, parameters sent, result returned. If an agent drafted a PO at 2:14 AM on Thursday, you can see exactly what it queried, what quantities it proposed, and why.

This is not optional. It is always on. You cannot disable it, and the agent cannot modify the logs.

For teams, this matters. You can see which team member's agent did what, when, and whether the resulting PO was approved or rejected. Full chain of custody from agent query to purchase order to supplier shipment.

Pricing by Tier

Feature	Standard ($99/mo)	Growth ($199/mo)	Scale ($499/mo)	Enterprise (Custom)
AI agent tools	Not included	Read-only (32 tools)	Read + Write (32 tools)	Read + Write (32 tools)
Rate limit	--	100 calls/hr	1,000 calls/hr	Unlimited
Owner Pulse	--	--	Weekly	Daily or real-time
Notification channels	1	3	Unlimited	Unlimited
Shopify Flow triggers	--	--	Yes	Yes
Webhooks	--	--	Unlimited	Unlimited
Audit logging	--	Yes	Yes	Yes
SKU mapping suggestions	--	Yes	Yes	Yes

Standard is our entry tier for sellers who want forecasting and reorder alerts without agent access. Growth is where agent access starts, and 100 calls per hour covers a typical morning briefing workflow easily. Scale is for sellers running background automations, scheduled briefings, or managing 5+ stores where the write tools and higher rate limit pay for themselves in the first week.

All tiers include a 14-day free trial.

The Part Nobody Talks About

Most "AI features" in inventory tools are a chat window bolted onto a dashboard. The agent has no structured data access. It cannot run the actual calculations. It hallucinates quantities because it is guessing from whatever text it can scrape off the screen.

We took a different approach. The MCP server gives your agent the same structured data the dashboard uses. Same math engine. Same reorder logic. Same constraint handling. The agent does not guess. It queries.

That distinction, between an agent that reads structured data and one that summarizes a screenshot, is the difference between a tool and a toy.

Start your free 14-day trial and connect your first agent in under 5 minutes.

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Related Reading:

• AI Agent Integration (MCP Server) -- Full feature documentation
• Connect Your AI Agent to Inventory -- Step-by-step setup guide
• AI Purchase Orders: Automate Reordering Safely -- How draft-only POs work
• What Can an AI Agent Do With Your Inventory Data? -- Use cases and honest limitations