A manufacturing enterprise replaced screen-hopping and tribal knowledge with a conversational AI agent that talks to the ERP directly, so any rep can answer any customer in seconds.
The data support and sales teams needed was already in the ERP. Getting to it, fast, was the problem.
Cimplify.AI designed and deployed an AI-powered ERP intelligence assistant, a Retrieval-Augmented Generation (RAG) agent wired directly into the client's ERP ecosystem. It combines conversational AI, structured data retrieval, and live dashboards in one place.
AI-powered conversational front door for support and sales.
Direct, structured integration with the client's ERP ecosystem.
Pulls relevant records and documentation into every answer.
Turns query results into instant, readable dashboards.
Converts natural language into contextual database queries.
Recognizes customer and product references however they're typed.
Handles incomplete or approximate inputs without dead ends.
Improves query accuracy with shared context across teams.
A question, customer name, part number, or document reference
The agent parses intent and generates a contextual query
ERP records, documents, and history are pulled together
An easy-to-read dashboard or conversational answer appears
The AI assistant became a centralized intelligence layer that simplified ERP access and accelerated customer communication.
Faster, more complete answers improved the overall support experience.
Reps resolve more queries on the first interaction, without escalation.
Customer queries on orders, dispatches, and specs answered in moments.
Any team member can retrieve accurate answers independently.
Less time spent searching for documentation and historical records.
New support personnel become productive without deep ERP training.
Instead of building another reporting tool, Cimplify.AI designed an experience centered on how people naturally search for information, plain English in, the right answer out.
The interface mirrors natural language, not ERP terminology.
One layer over structured and unstructured data beats another standalone tool.
Synonyms, aliases, and fuzzy search make the agent usable by everyone, not just power users.
A single typed reference should be enough to surface the full picture.