ERP AI Agent
The AI agent that runs your order management floor — at 95% accuracy, around the clock.
Global Power Transmission Manufacturer
Case Study · 2025
About this product
An agentic AI system built for a global power transmission and motion control manufacturer — integrating directly with their ERP to automate order placement, real-time order tracking, inventory queries, and customer support at scale, achieving 95% order accuracy and processing 400+ more orders daily.
Timeline
14 weeks
Category
AI / ML
Delivered
2025
Stack
Product Preview
Why it works
Measurable impact, by design
95%
Order Accuracy
validated two-stage ERP write pipeline
400+
More Orders Daily
agent capacity beyond human team throughput
40%
Faster Customer Responses
real-time ERP data, no manual lookup queues
10+
Hours Saved Per Week
sales and support freed for strategic work
Overview
The situation
As a global leader in power transmission and motion control products, the client operated at a scale where order management was both mission-critical and perpetually understaffed. Sales and support teams were spending the majority of their time answering the same order status questions, manually checking inventory levels, looking up pricing, and placing orders into the ERP by hand. Every manual step was a bottleneck, every manual entry was a potential error, and the volume was only growing. We built an ERP AI agent that took the entire order management workflow off the team's hands — connecting directly to the ERP system and handling order placement, tracking, inventory queries, and customer communications with 95% accuracy at a scale no human team could match.
Challenge
What we had to solve
ERP integration is technically unforgiving — the agent had to interact with live production data in real time, which meant a misread inventory figure or an incorrectly placed order had immediate operational consequences. The system needed to understand natural language queries from both internal sales teams and external customers, translate them into precise ERP operations, and return accurate, contextually appropriate responses without hallucination or misinterpretation. At the same time, the agent had to handle the full diversity of order-related questions — from simple status checks to complex multi-line order histories — without routing every edge case to a human for resolution.
What it does
Core capabilities
Automated Order Placement & Tracking
The AI agent places orders directly into the ERP system through natural language interactions — no forms, no manual data entry, no human intermediary required. Sales teams and customers describe what they need in plain language, and the agent handles product code matching, quantity validation, inventory confirmation, pricing lookup, and ERP write operations in a single conversation thread. Real-time order tracking provides up-to-date status, expected delivery dates, and shipment details instantly, replacing the manual ERP lookups that were consuming hours of support team time every day.
Real-Time ERP Data Integration
The agent connects bidirectionally to the client's live ERP system — reading inventory levels, pricing structures, customer account data, and order histories in real time, and writing confirmed orders directly back into the production environment. Every data point the agent surfaces is pulled from the live ERP rather than a cached or approximated view, ensuring that inventory availability, pricing, and delivery estimates are accurate at the moment they're provided. A transaction audit layer logs every agent-initiated ERP operation, giving the operations team complete traceability and rollback capability.
Order Validation & Accuracy Pipeline
Achieving 95% order accuracy required a structured validation layer between natural language intent and ERP execution. Before any order is placed, a validation agent confirms product codes, quantities, pricing, customer account eligibility, and inventory availability against live ERP data. Ambiguous inputs trigger a clarification loop rather than a best-guess placement — the agent asks for confirmation rather than assuming. Every validated order is presented back to the user for explicit approval before the ERP write is executed, creating a two-stage confirm-then-execute architecture that makes accuracy a system property rather than a hope.
Intelligent Query Management & Escalation
The agent handles the full spectrum of order-related queries autonomously — status updates, delivery timelines, product availability, pricing, order history, and multi-line order modifications — without routing routine questions to human support staff. Intent classification routes each query to the appropriate ERP tool call, and conversation context is maintained across multi-turn interactions so users can place, track, and modify orders within a single thread. Complex or exception-based scenarios — credit holds, discontinued products, pricing disputes — are detected and escalated to the appropriate human with full conversation context attached, giving the support team everything they need to resolve the issue without starting from scratch.
Outcomes
Order management at manufacturing scale — automated, accurate, and always on.
95%
Order placement accuracy
two-stage validation before every ERP write
400+
More orders processed daily
agent capacity exceeded human team throughput
40%
Faster customer response times
real-time ERP data replaced manual lookup queues
20%
Faster order fulfilment cycle
automated placement eliminated processing bottlenecks
10+
Hours saved weekly
sales and support teams redirected to complex work
14wks
Delivered on schedule
discovery to production-ready ERP AI agent
Our sales and support teams were spending most of their day answering the same order questions and manually entering data into the ERP. The AI agent took all of that off their plate — order accuracy is up, response times are down, and we're processing hundreds more orders a day with the same headcount.
Global Power Transmission Manufacturer
Client, Manufacturing Operations
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