Case Study: E-commerce Corp

Industry: E-commerce Headline outcome: Reduced internal data search time by 70%, from 3 hours to 45 minutes daily.

The Problem

E-commerce Corp's operations team was spending roughly 3 hours per day searching across order data, supplier portals, customer service tickets, and product documentation. The data lived in PostgreSQL (orders), MongoDB (catalog and reviews), Notion (internal SOPs), and ClickUp (project tracking). Every question required hopping across at least two of those systems.

The Approach

The team rolled out AgentBrain Business tier on hybrid deployment:

• Knowledge Vault connected to PostgreSQL, MongoDB, Notion, and ClickUp
• Department-scoped RBAC: Operations had broad read; Customer Service had narrower read; Engineering had write to specific collections
• Agents built for the operations team's three most common workflows: order lookup, supplier follow-up, and catalog discrepancy

The Result

• Internal data search time dropped from 3 hours to 45 minutes per day for the operations team
• A 70% reduction in time-on-task for the most common operational queries
• Audit log shows where the team is repeatedly asking the same question, which fed back into knowledge improvements

What Made It Work

• One Knowledge Vault unified four sources behind semantic search
• RBAC kept sensitive supplier data scoped to the right department
• The agentic workflow operator was used to automate the catalog discrepancy detection loop

Related

• Platform: Knowledge Vault
• Workflows: Deploy Configure Scale
• SOPs: Knowledge Vault Setup