AI Services
ERP AI Integration for Odoo, SAP, Oracle and Microsoft Dynamics
We connect AI to your ERP so managers can ask questions in plain language, forecast demand, catch anomalies early and process invoices and purchase orders with far less manual effort.
Overview
Why ERP + AI Integration matters
Your ERP holds the most valuable operational data in the business, yet getting a simple answer out of it often means waiting for someone who knows the reporting module. Our ERP AI integration service adds an intelligent layer on top of Odoo, SAP, Oracle or Microsoft Dynamics. Operations heads can ask "What stock will run out in the next three weeks?" and get an answer with figures, while the system forecasts demand, flags unusual transactions and drafts purchase orders for approval.
Nothing is ripped out. The AI reads and writes through your ERP's supported interfaces, follows the same user roles and approval rules, and turns raw numbers into short narrative reports that leadership can act on.
What we build
ERP + AI Integration: capabilities
Every feature is built on our standardized stack, so it is secure, tested and maintainable by any engineer in our pool.
Natural-language reports
Ask about sales, stock, receivables or production in everyday language and receive tables, charts and the query used, scoped to what your role can see.
Demand forecasting
Predict demand per item and location from sales history, seasonality and open orders, so planners can set reorder levels with more confidence.
Anomaly detection
Spot unusual price changes, duplicate invoices, stock discrepancies or out-of-pattern expenses and route them to the right reviewer.
Automated purchase orders
Generate draft purchase orders when forecasts cross reorder thresholds, choose suppliers based on price and lead time, and send them for approval.
Invoice and document processing
Read supplier invoices, delivery notes and GST documents, extract line items, match them to POs and receipts, and post them once checks pass.
Narrative reporting
Turn monthly figures into a written summary that explains what changed, why it matters and which items need attention.
Multi-company awareness
Handle multiple branches, warehouses and legal entities correctly, so answers and forecasts respect the structure already set up in your ERP.
Key benefits
Outcomes your business can count on
Answers without a report request
Managers get the figures they need in seconds instead of waiting days for a custom report from IT or finance.
Less working capital tied up
Better forecasts help reduce both stock-outs and excess inventory, freeing cash that was sitting on warehouse shelves.
Problems caught early
Anomaly alerts surface billing errors, leakage and data-entry mistakes while they are still easy and cheap to correct.
Lighter accounts payable workload
Document processing removes most manual keying of supplier invoices, leaving staff to handle only the exceptions.
Your ERP investment goes further
You extract more value from the system you already own rather than paying for a costly migration or additional modules.
Use cases
Where this delivers value
Manufacturing inventory planning
Forecast raw material requirements from the production plan, alert planners to shortages and draft POs for long-lead components.
Finance month-end close
Match invoices to purchase orders, flag unreconciled items and produce a narrative variance report for the finance controller.
Retail and distribution replenishment
Predict store or warehouse demand by SKU and suggest transfers between locations before customers notice gaps.
Logistics cost control
Detect unusual freight charges, duplicate bills and route cost spikes, and summarize them for the operations head each week.
Leadership dashboards
Give directors a plain-language briefing on revenue, margins, receivables and stock health each morning, with links to drill down.
Technology used
Built on one proven stack
We connect to Odoo through XML-RPC and JSON-RPC, to SAP, Oracle and Dynamics through their official APIs and connectors, and run forecasting and language services in Python alongside a NestJS integration layer. Models can be cloud-hosted or private.
- Odoo
- SAP
- Oracle ERP
- Microsoft Dynamics
- OpenAI GPT and Claude
- Llama and Mistral
- LangChain and LlamaIndex
- Python forecasting libraries
- NestJS and FastAPI
- PostgreSQL and Redis
Our process
From first call to confident launch
- 01
Discovery
We study your ERP configuration, data quality and reporting backlog, speak with planners, buyers and accountants, and agree which decisions the AI should support first.
- 02
Design
We define the data access layer, role mapping, forecasting approach, anomaly rules and approval steps for any record the AI creates or changes.
- 03
Agile Build
Each sprint delivers a working capability against a test copy of your ERP, validated with historical data so forecasts and alerts can be compared with what actually happened.
- 04
Production + 90-day hypercare
We go live module by module, monitor accuracy and user adoption, recalibrate forecasts on fresh data and tune alert thresholds during 90 days of hypercare.
How ERP AI integration fits your existing system
The AI layer never bypasses your ERP's business rules. Queries run through read-only accounts limited to each user's permissions, and anything the AI creates, such as a draft purchase order or a posted invoice, enters the ERP's normal approval workflow. This keeps auditors comfortable and ensures your system of record stays the single source of truth.
For teams that prefer a ready-made experience, our AI ERP assistant packages natural-language querying and briefings into a deployable product, while AI document processing handles high-volume invoices and delivery notes.
Applied in an Odoo manufacturing project
We have delivered this approach for a manufacturer running Odoo, adding natural-language inventory queries, automated purchase orders and predictive maintenance signals. The Odoo ERP AI case study explains the scope and delivery in more detail.
Forecasts you can question
A forecast is only useful if planners understand it. We show the inputs behind each prediction, such as recent sales trends, seasonality and open orders, and let users compare the AI's numbers with their own judgement. When a planner overrides a figure, that feedback is captured and used to improve future forecasts. For businesses whose ERP no longer fits, we also offer custom ERP development on our standard stack.
- Works with Odoo, SAP, Oracle and Microsoft Dynamics
- Respects ERP roles, companies and approval chains
- Explainable forecasts with visible inputs
- Private model hosting available for sensitive financial data
Industries served
Proven across industries
FAQ
ERP + AI Integration: frequently asked questions
Get more from your ERP
Tell us which ERP you run and the decisions that take too long today, and we will suggest a first AI capability with measurable impact.