AI / ML Idea Challenge for Utility “Meter-to-Cash” (M2C) Process — SAP IS-U Environment (Non-S/4)

I’m exploring AI and automation opportunities across the Meter-to-Cash (M2C) lifecycle in the utilities industry, covering everything from meter reading → billing → collections → customer service.

We currently work with a SAP ERP system (SAP IS-U on HANA database) — a classic utilities platform that handles end-to-end customer, billing, and metering processes. We are not on S/4.

Our goal is to identify practical AI or ML use cases that can deliver measurable business value without needing a full S/4HANA migration. Ideas should focus on augmenting or integrating AI externally (dashboards, predictive analytics, automation tools, etc.) rather than embedded SAP AI features.

Scope – The Meter-to-Cash Cycle

You can focus on any of these process areas:
Meter Data & Validation
Billing & Invoicing
Payments & Collections
Customer Service & Experience
Field Operations & Maintenance
Data Governance & Audit

Your Task

Submit one or more AI/ML-based ideas that could bring measurable business value within this context.

Each idea should include:

Process Area – where in Meter 2 Cash it applies
Problem Statement – what issue or inefficiency it solves
Why AI/ML Helps – how AI adds value or automation
Proposed Technical Approach – data, tools, or model concept
Expected Business Impact – efficiency, accuracy, or cost savings

Guidelines
Do not request or use any client data or confidential system details.
Use only synthetic or public data for concepts or examples.

I will create another job for prototype once I select the idea.