Cutting Spare Part Search Effort by 70% with AI-Led Automation

Overview

Wind turbine operators often struggle with identifying and sourcing the right spare parts, leading to delays, higher costs, and operational inefficiencies. To address this, we implemented an AI-driven solution built on Salesforce Commerce, Data Cloud, and Agentforce.

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Wind turbine operators often struggle with identifying and sourcing the right spare parts, leading to delays, higher costs, and operational inefficiencies. To address this, we implemented an AI-driven solution built on Salesforce Commerce, Data Cloud, and Agentforce.

The platform streamlines part identification, validation, and order creation, significantly reducing dependency on engineering teams. By simplifying complex inventory searches and improving first-time repair success rates, the solution minimizes downtime, lowers logistics costs, and enhances overall operational efficiency—enabling faster, smarter, and more reliable maintenance operations.

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Business Challenge

A global energy technology company operating across Power, Wind, and Electrification sectors, focused on accelerating the transition toward more reliable, affordable, and sustainable energy systems. Headquartered in Cambridge, the company serves customers across more than 100 countries with employees worldwide. The company maintains a significant global manufacturing, engineering, and services footprint across North America, Europe, Asia, and the Middle East.

For wind turbine operators worldwide, timely parts replacement depends on accurate part identification and search. The ability to quickly pinpoint the exact component from millions of parts not only minimizes costly downtime but also ensures turbines keep generating clean power without interruption.

Our Approach and Solution

Tech Mahindra implemented an intelligent, AI-driven solution that leverages Salesforce Commerce, Data Cloud, and Agentforce to streamline spare-part identification and order execution. The solution included:

Entitlement Verification

Real-time eligibility checks against unified data cloud profiles and Commerce entitlement rules

Exact Part ID Lookup

Using indexed master data enriched through RAG and engineering knowledge to validate fit, compatibility, and supersession

Automated Commerce Execution

One-click order creation, PO generation, and seamless checkout

Business and Community Impact

  • Faster Resolution: Reduced average parts-identification and order time by automating search, validation, and checkout
  • Commerce Efficiency: Lowered manual workloads for agents and procurement teams through automation of PO generation and order processing
  • Operational Efficiency: Cut turbine part search requests to the engineering team by 70%