Discover how 100+ leading retailers have transformed their merchandising operations with Toolio’s end-to-end planning platform.
Retailers like Shinola, MeUndies, AKA Brands, and Mackage rely on Toolio to drive:
Stop by to connect with our team of seasoned planners, with 20+ years of experience with top retailers like Ralph Lauren, Kate Spade, Macy's, and Outdoor Voices.
Whether you're looking to optimize your planning process, explore industry trends, or just discover what sets Toolio apart, we’d love to chat with you!
Eytan Daniyalzade
CEO & Co-Founder
Dustin Oliver
VP of Sales
May Leung
Lead Solutions Consultant
Danielle Gregoire
Solutions Consultants
See you in NYC for RE:PLAN!
Request Time to Chat
May 19, 2026
12PM
Join us for a live demo of the Toolio MCP Server and see how merchandising and planning teams are connecting their Toolio data directly to Claude, ChatGPT, and other AI assistants: no exports, no copy-paste, no leaving the tool you're already in.
The MCP (Model Context Protocol) Server lets you ask questions about your live plans in plain English and get answers grounded in your real numbers.
Ask "how has the year actualized so far?" or "what were my top dresses last week?" and the model pulls from your actual MFP, assortment, and allocation plans to answer.
What You'll See:
→ Natural-language plan Q&A — Ask about sales, margin, inventory, or OTB performance against any of your plans (MFP, AP, original plan, working plan) and get a grounded answer in seconds.
→ Cross-module insights — Summarize the week, month, or quarter across merchandise planning, assortment planning, and allocation in a single conversation, without rebuilding views or exporting files.
→ Top-seller and category analysis on demand — "What were my top seven items in dresses last week?" returns a ranked, accurate answer pulled from live data — not a stale export.
→ Works where you already work — Use Toolio inside Claude Desktop, Claude on the web, or any MCP-compatible AI client. Same data, same answers, wherever your team is already prompting.
