ERP AI Integration

Your ERP Finally Earns
Its License Cost.

We wire AI directly into your ERP so your operations team stops drowning in manual data entry, catches procurement anomalies before they cost you money, and gets answers from your ERP by just asking a question in plain English.

21 day delivery
Non-destructive integration
Full source code

What We Build

AI capabilities embedded directly into your ERP modules so your operations team gets intelligence without switching tools or learning new systems.

Demand forecasting models trained on your historical order and inventory data
Anomaly detection that flags unusual purchase orders, invoice mismatches, and inventory spikes in real time
Automated data entry from vendor invoices, POs, and shipping documents via document AI
Natural language querying so anyone on the team can ask questions about ERP data without SQL
AI generated operations dashboards with variance commentary and trend explanations
Automated three way matching for purchase orders, receipts, and invoices with exception routing
SAP S4HANA and NetSuite native integration via official REST APIs and BAPIs
Custom ERP AI layer for homegrown systems on PostgreSQL, Oracle, or MSSQL
Cross module intelligence that correlates procurement, inventory, and finance data automatically
Inventory replenishment recommendations triggered by AI forecast thresholds
Supplier performance scoring based on lead time, defect rate, and price variance history
Conversational ERP interface embedded in Slack or Teams for on the go operations queries

Measured ROI

70%

Data Entry Time Saved

Document AI handles invoice and PO entry that previously required dedicated data entry staff, cutting manual processing time by 70%

89%

Forecast Accuracy

AI demand forecasting trained on 24 months of order history reaches 89% accuracy within the first full planning cycle

48 hrs faster

Anomaly Detection

Procurement anomalies and invoice mismatches surface within minutes instead of the 48 hours it takes during manual month end review

10x faster

ERP Query Time

Natural language queries return answers in seconds versus the hours an analyst previously spent writing and running reports

Tech Stack

SAP / NetSuite API
ERP layer
OpenAI GPT-4o
AI backbone
Python
Forecasting runtime
PostgreSQL
Analytics store
Document AI
Invoice extraction
Redis
Query cache
BullMQ
Job processing
Datadog
Pipeline monitoring

21 Day Build Timeline

Day 1 to 3

ERP Audit and Data Mapping

Inventory your ERP modules, map data schemas across procurement, inventory, and finance, and prioritize the highest ROI AI use cases for your operations team.

Day 4 to 6

API Connection and Data Pipeline

Establish the ERP API connection, build the data extraction pipeline, and set up the analytics warehouse that feeds AI models with clean historical data.

Day 7 to 10

Demand Forecasting and Anomaly Detection

Train the demand forecasting model on your order history, build the anomaly detection layer for procurement and invoices, and wire alerts to your operations team.

Day 11 to 14

Document AI and Automated Entry

Deploy invoice and PO extraction via document AI, build the three way matching engine, and set up exception routing for mismatches that require human review.

Day 15 to 18

Natural Language Query Interface

Build the conversational query layer over your ERP data, connect it to Slack or Teams if needed, and generate the first set of AI ops dashboards.

Day 19 to 21

Deploy and Operations Onboarding

Ship to production, run live onboarding sessions with operations and finance teams, deliver full documentation, and begin 30 day support window.

Fixed Project Price

$6,000

21 day delivery • Full source code • 30 day support

Basic integrations from $3,500 • Enterprise from $18,000

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See a Related Project We Built

We built a real time operations dashboard for a logistics company that pulled live data from their ERP and surfaced AI commentary on variance, delays, and procurement risks.

Read the Case Study

Frequently Asked Questions

Free Estimate in 2 Minutes

50+ products shipped$10M+ funding raised2-week delivery

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