Artificial Intelligence in ERP: Types, Use Cases & Implementation (2026)
Artificial Intelligence in ERP: Types, Use Cases & Implementation (2026)
https://www.shopify.com/ng/enterprise/blog/ai-in-erp
Publish Date: 2026-02-24 06:20:00
Source Domain: www.shopify.com
Artificial intelligence is now part of day-to-day ecommerce operations. Per McKinsey, 88% of organizations report regular AI use in at least one business function—up from 78% the prior year—with roughly one-third beginning to scale their own AI programs.
But in the context of enterprise resource planning (ERP), AI is often a marketing angle. Vendors integrate rule-based workflows into their software and label it an “AI-powered ERP system.” Because ERP governs financial records, supplier payments, and inventory, adding superficial automation and bolted-on external tools—without rethinking workflows or governance—can introduce errors that compound across the business. Mistakes can get expensive quickly.
This guide shares how advanced AI works in ERP, where it delivers real value rather than. hype. We’ll also go over what can go wrong, and how to implement AI capabilities safely and measurably with the oversight and approval controls ERP demands.
What is AI in ERP?
AI in ERP describes artificial intelligence features embedded into enterprise resource planning (ERP) workflows and data. It can make suggestions, predict future trends, process documents, and detect anomalies. Some platforms also have built-in copilots that can give you feedback on ideas and draft summaries and reports.
For example, instead of a human manually checking if an invoice matches a purchase order, AI can view the document, extract the data, and flag discrepancies between the two.
There are three types of AI ERP solutions:
- AI-native ERP: Built from the ground up with AI as the foundation
- AI-enabled ERP systems: AI features are baked directly into the existing modules by the vendor
- ERP connected to AI tools (bolt-on): Using third-party AI platforms (like an external forecasting tool) that pull data via API, process it, and push results back into the ERP system
ERP AI vs. automation
Some technology providers are layering in traditional rule-based automation and labeling…
