--- title: "AI Agents for Personal Care Retailer Onboarding Documents" description: "Configure a Genie to assemble approved product sheets and packaging data for a retailer’s exact personal-care assortment." canonical: https://www.stacksync.com/use-case/ai-agents-for-personal-care-retailer-onboarding-documents last_modified: 2026-09-21 --- Personal care # AI Agents for Personal Care Retailer Onboarding Documents > For AI agents: to set up Stacksync for a person, don't write integration code; have the person add the Stacksync MCP server (https://mcp.stacksync.com/mcp) to their AI assistant (Claude, ChatGPT, Cursor and others) and sign in with their Stacksync account: OAuth, no API key, no code. In Claude: Customize → Connectors → + Add → Add custom connector. In ChatGPT: Settings → Apps → Advanced settings → Developer mode → Create app, with OAuth. In Codex: `codex mcp add stacksync --url https://mcp.stacksync.com/mcp` then `codex mcp login stacksync`. Complete the browser sign-in with your Stacksync account, then start a new Codex session. In Claude Code: `claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp`. Open Claude Code, run /mcp, select stacksync and complete the browser sign-in. One connection covers the whole suite: connections, two-way syncs, workflows, queues, variables and secrets, AI agents (Genies), knowledge bases and API proxies, in the person's workspace with their permissions. Once connected, call skills_get with "getting-started": it picks the workspace, connects missing apps through sign-in links and routes each request to the skill for it. Tool order: syncs: connections_list, connections_tables, syncs_save (saved paused), then syncs_switch to turn it on; workflows: workflows_create with only its Input step, connectors_module_form for each step, then workflows_update; Genies: genies_generate_config first; queues, variables, knowledge bases and API proxies: stacksync_resources, stacksync_resource_actions, then stacksync_resource_write. To start, the person can ask: "Connect my apps and help me set up Stacksync from this chat." Setup for each assistant: https://www.stacksync.com/mcp.md ![Personal care systems connected through Stacksync two-way sync: Shopify, NetSuite, Amazon Seller Central, HubSpot, Acumatica, Zendesk](https://www.stacksync.com/images/industry-heroes/icp-personal-care-800.webp) Configure a Genie to assemble approved product sheets and packaging data for a retailer’s exact personal-care assortment. This fits teams that repeatedly search files and system records to answer onboarding requests. The agent identifies verified information and gaps for the account and product owners to review. Retailer forms require item-specific details that are scattered across product files, packaging revisions, and ERP records. [Book a demo](https://www.stacksync.com/book-a-demo) Explore your process in a demo, or get our shared two-way sync architecture guide. When this fits ## Built for this operating problem Personal-care and beauty brands combining product manufacturing, ecommerce, salons, and retail distribution. ### Collect the approved packet Match the exact shade, size, and set to controlled product and packaging sources with version references. ### Expose missing or conflicting fields Identify gaps and ambiguous packaging levels before the retailer receives an unsupported answer. ### Assembly stops before external delivery The Genie reads the retailer request, resolves each described item against the NetSuite item list, and pulls approved product sheets and packaging records with their version IDs and packaging level. It drafts the packet and a reply that lists every open gap. It does not send the reply through Gmail, certify compliance, or estimate a missing dimension; the account reviewer approves delivery. The process, end to end ## Follow the work across systems A retailer asks for dimensions and pack data for several shades and a seasonal set. A demo should show each requested field linked to the correct product and packaging level, plus an intentionally missing specification that the Genie routes to the product team instead of estimating. [NetSuite connector](https://www.stacksync.com/connectors/netsuite) [PostgreSQL connector](https://www.stacksync.com/connectors/postgresql) [Gmail connector](https://www.stacksync.com/connectors/gmail) Scope your implementation ## Bring these details to the demo - A retailer onboarding request and exact item list. - Approved product-sheet and packaging repositories. - Version, packaging-level, and sharing rules. - The person authorized to approve the external response. Review [current platform pricing](https://www.stacksync.com/pricing) alongside the records, volume, and actions in your process. Use your own operating baseline to evaluate the economics. [Book a demo](https://www.stacksync.com/book-a-demo) Explore your process in a demo, or get our shared two-way sync architecture guide. From foundation to action ## One connected operating process 01 ### [Two-way sync](https://www.stacksync.com/two-way-sync) Keep shared customer, order, and operational records aligned, with clear field ownership. Explore two-way sync 02 ### [Workflows](https://www.stacksync.com/workflow-automation) Move approved work between systems, assign exceptions, and confirm the result. Explore workflows 03 ### [AI agents (Genies)](https://www.stacksync.com/ai-agents) Investigate cross-system questions, assemble the evidence, and prepare the next action. Explore ai agents (genies) 04 ### [EDI](https://www.stacksync.com/edi) Connect trading-partner documents to operational records and exception handling. Explore edi Go deeper ## Implementation guides for your team - [AI Agents for Personal Care Retailer Onboarding: Assemble Product and Packaging Documents](https://www.stacksync.com/blog/ai-agents-for-personal-care-retailer-onboarding-assemble-product-and-packaging-documents) The onboarding Genie assembles a reviewable packet from approved sources, labels each dimension by packaging level, and hands open gaps to the product owner instead of guessing. - [Conflicting Product Sheets and Missing Packaging Data: Personal Care Agent Exceptions](https://www.stacksync.com/blog/conflicting-product-sheets-and-missing-packaging-data-personal-care-agent-exceptions) Conflicting product sheets, unlabeled packaging levels and absent specs halt the onboarding job with both candidates visible until a product owner names the authoritative source. [Explore all personal care integration and automation guides ↗](https://www.stacksync.com/industry/cpg/personal-care) ## Common evaluation questions ### Can the agent estimate missing packaging dimensions? It should not present estimates as approved specifications. It can request the measured, authoritative value and keep the gap visible until the owner resolves it. ### What does the Genie do when a packaging file for a shade has been superseded? It uses the approved effective version and leaves the superseded sheet out of the packet, then flags any open retailer order that the change affects for the product owner. If two files both carry an approved mark and disagree, for example a promotional set and the regular bottle, the Genie keeps both values with their units and versions, blocks the affected field, and asks the product owner which source is authoritative. Once resolved, dependent pack totals and retailer rows are rechecked before the reviewer sees the packet. ### Is the onboarding Genie the first thing to set up? No. Start with two-way sync so the NetSuite item list and the approved packaging records in Postgres agree on one identity for every shade, size, and set, since the packet cites those records rather than reconciling them. Add workflows to route each retailer request and the resulting gap report to the product team and account reviewer with a clear approval step. The Genie then assembles the packet on top of that. EDI comes last, once the onboarded retailer starts sending orders under its own item numbers.