Sync MCP connects live apparel ERP data to the AI assistant your team already uses, through the Model Context Protocol. Plain-language questions in, board-ready answers out - sell-through, size runs, margin, material coverage - with every number traced to live Sync data. No exports, no SQL, no waiting on a report queue.
MCP, the Model Context Protocol, is an open standard for connecting AI assistants to the systems where business data lives. It was introduced by Anthropic in November 2024 and has since been adopted across the industry, including by OpenAI and Google DeepMind. One protocol, any assistant: the same connection that serves Claude serves ChatGPT, Gemini and Grok.
Sync speaks MCP natively. That is a different architecture from a proprietary in-app copilot: your team asks questions in the assistant they already use, your data stays behind your Sync permissions, and you are never locked to one vendor's AI. As the assistants get smarter, Sync MCP gets smarter with them - for free, forever, by design.
And because the system on the other end of the connection is an apparel ERP, the answers speak apparel. Styles, colors, size curves, seasons, prepacks, BOMs, cutting orders, wholesale and D2C channels - the assistant reasons over the data model your business actually runs on, not flat SKUs.
Questions that used to mean a report request, a spreadsheet export and an afternoon of pivot tables come back in seconds - reasoning shown, numbers traced to live Sync data. Three examples, one demonstration dataset.
Year-over-year pacing across every wholesale account, with the why behind each decline - missing pre-books, single-category buying, rep coverage gaps - surfaced in the same answer.
Sync Demo dataset
Material requirements across every BOM and cutting order, netted against on-hand and open material purchases in one answer. Shortfalls and thin coverage flagged while there is still time to act - analysis no generic ERP can even express.
Sync Demo dataset
Blended margin by style and season, with cost actualization against standard so the variance has a name - freight, fabric, a factory price move - instead of a shrug at month end.
Sync Demo dataset
Sync MCP connects the way modern AI connectors do, and it respects the permission model you already run. A connection authenticates as a Sync user and sees only what that user's Sync permissions allow - a rep works within a rep's access, a controller within a controller's.
Sync does not put a house chatbot between you and your AI. Your team connects with their own Claude, ChatGPT, Gemini or Grok accounts - your AI subscription, your keys, your vendor relationship. Sync exposes the MCP server; the assistant you already pay for does the reasoning.
That means no AI usage resold back to you at a markup, no prompts routed through a middleman, and the data controls you have set with your AI vendor keep applying. On the Sync side, every connection authenticates as a named Sync user and stays inside that user's permissions.
The same live connection serves sales, inventory, finance, production, raw materials, customer service and the warehouse - each within their own Sync permissions.
Budget vs actual by rep, brand and category. YoY pacing. At-risk accounts surfaced before the season is lost.
Dead stock, broken size runs, SKUs under cover - with reorder proposals drawn from ATS including inbound POs.
AR aging and review, margin by style and season, cost actualization and BOM variance against standard.
Critical path slippage, inbound shipment tracking, ordered vs shipped, and vendor POs projected from sales history.
Order and fulfillment status, returns and refunds, and how stock is allocated across open sales orders.
Requirements across BOMs and cutting orders, netted against open material purchases - shortfalls and thin coverage flagged early.
Open pick waves and their status, orders picked vs packed vs shipped, and stock by bin and location across warehouses.
Sync MCP is one half of the Sync AI layer: on-demand intelligence in the assistant you already use. The other half works inside Sync itself - scheduled agents and AI functionality that create, monitor and optimize while your team sleeps.
Live answers from your ERP in Claude, ChatGPT, Gemini or Grok. Sell-through, size runs, margin, material coverage, account risk - reasoned over apparel-shaped data, traced to source, scoped to each user's permissions.
Scheduled agents across inventory, sales, finance, production, raw materials, customer service and the warehouse. AI order ingestion creates sales orders from files in any format. Bill of lading ingestion creates in-shipments and ASNs. In the warehouse: AI-optimized wave picking, location recommendations from picking and sales trends, and intelligent routing on the pick path.
We selected Sync based on their highly efficient, finely tuned system that is apparel industry specific. Sync has provided the platform we required to grow our brands in the global arena.
We are in a 1000% better place now than we were with the old system. Sync has given us access to more data visibility and reporting than ever before.
Sync revolutionized our operations. Transitioning from a manual system was a game-changer… the team at Sync values our brand and treats us like a true partner.
MCP, the Model Context Protocol, is an open standard for connecting AI assistants to business systems and data. It was introduced by Anthropic in November 2024 and has since been adopted across the industry, including by OpenAI and Google DeepMind. Sync speaks MCP natively, so AI assistants can query live ERP data instead of working from exports.
Any assistant that supports MCP connections, including Claude, ChatGPT, Gemini and Grok. Because MCP is an open standard rather than a proprietary copilot, your team uses the assistant they already work in, and you are not locked to one vendor's AI.
An MCP connection authenticates as a Sync user, and it sees only what that user's Sync permissions allow. A rep connecting their assistant works within a rep's access, a controller within a controller's. There is no side door around your existing permission settings.
Anything the data can answer: sell-through against buy, accounts trending down year over year, styles with broken size runs, margin by style and season, open production POs against the critical path, AR aging by customer. Answers come back in seconds with the numbers traced to live Sync data.
No. Sync MCP connects the way modern AI connectors do: add Sync in your assistant's connections, sign in with your Sync account, and start asking. The iSync team enables the module and helps with rollout as part of your subscription.
MCP connections read and analyze live data. Creating records is AI functionality inside Sync itself: AI order ingestion turns order files in any format into sales orders, and bill of lading ingestion creates in-shipments and ASNs. Everything runs inside your Sync permission settings and is visible in Sync before it flows downstream.
Sync MCP is available as a module of the Sync platform. It sits within the Sync AI layer alongside scheduled agents for inventory, sales, finance, production, raw materials, customer service and the warehouse. Book a demo to see it against a real product range.
No generic slides. Bring a real question - sell-through, size runs, an account you are worried about - and watch Sync MCP answer it live in the assistant you already use.