Overview
An industrial chemical manufacturer with 100+ employees. The operation spans clients, suppliers, products, raw materials, pricing, and bill-of-materials workflows.
Client’s Industry: Chemical Manufacturing
The Problem
At this scale, data was fragmented across spreadsheets, ERPs, and manual processes. Product inquiries required manual research. BOMs were assembled by hand. No single person had a full picture of operations.
Goal of the Project
Build a unified Notion system covering the entire operational surface: client management, supplier tracking, product catalogs, raw material databases, and pricing structures. Deploy AI agents to handle the repetitive research and BOM population that slowed the team down.
The Work Process
Phase 1: Full Workspace Build
A centralized system with interconnected databases for clients, suppliers, products, raw materials, and pricing. All linked through relations so every data point connects to the right context.
Phase 2: AI Agents
Custom Notion AI agents that handle product inquiry research and BOM population automatically. Hours of manual lookup reduced to minutes.
Phase 3: Role-Based Views
Different dashboards for procurement, sales, operations, and leadership. Same data, different lens per team.
Systems Built
Notion AI Agents Setup
The Outcome
A 3-month build. The system now serves as the central operating layer for a 100+ person facility. AI agents handle the repetitive research that used to bottleneck the team.
Key Results
- AI-handled research: Product inquiry research and BOM population run through agents. Hours of manual lookup down to minutes
- One operating layer: Clients, suppliers, products, raw materials, and pricing connected through relations
- Role-based clarity: Procurement, sales, operations, and leadership each work from their own dashboard
"The CEO view that has been set up, along with the Notion AI agents, has changed the way we work. Everything comes with a lot more clarity in Notion, thanks to Atul."
— Paras Mehta, Orgo Chem