Case study | Energy
Accelerating Inventory Decisions with AI-Powered Recommendations
Improving inventory matching with intelligent recommendations that evaluate inventory, apply business rules, and surface faster, more consistent recommendations.
Overview
A leading electrical power and distribution provider faced challenges when analysing inventory and generating timely recommendations to support operational decision-making. 10Pearls developed an AI-powered recommendation solution that enables users to quickly access insights needed to optimise inventory planning and management.
from weeks to hours
with AI-powered matching
Challenge
The organisation needed a more efficient way to evaluate inventory data and generate actionable recommendations. Existing processes relied on manual analysis and fragmented information sources, making it difficult for users to quickly identify relevant inventory insights and make informed operational decisions.
Solution
10Pearls developed an AI-powered inventory recommendation engine designed to make transformer matching faster and more consistent. The solution parses YAML files and job notes, applies predefined rules, and ranks available inventory based on suitability. It also provides explainability around the recommendations to give users visibility into why specific options are surfaced, helping reduce reliance on manual interpretation.
As the platform evolved, we added natural-language and hybrid search capabilities alongside traditional manual search, giving users more flexible ways to find and assess inventory. Together, these capabilities created a more structured recommendation engine that combines business rules, search, and AI-driven ranking within a single experience.
Top industrial transformer company
Related case studies
Energy
Enterprise Knowledge & AI Search Solution
Explore how 10Pearls developed an enterprise AI search solution that unifies business knowledge across documents, emails, and SharePoint for faster, smarter information retrieval.
Energy
AI-Assisted Transformer Inspection Solution
See how 10Pearls streamlined transformer inspections with AI-driven evaluation workflows, improving measurement accuracy, reducing manual effort, and accelerating field assessments.
Energy
LiDAR Transformer Assessment Solution
Learn how 10Pearls leveraged LiDAR technology to digitize transformer assessments, streamline field inspections, improve measurement accuracy, and reduce evaluation time.
Energy
Automated Transformer Drawing Generation
Discover how 10Pearls automated transformer drawing generation using evaluation data to create accurate, customizable 2D diagrams and reduce manual drafting time.
Energy
AI-Powered Transformer Operations Transformation
Discover how 10Pearls helped an energy provider build an AI-powered digital foundation, digitize operations, reduce cycle times, and connect enterprise knowledge.
Energy
Transforming RFQ Configuration & Quoting with AI
Explore how 10Pearls used AI to automate transformer RFQ configuration and quoting, validate requirements, reduce errors, and accelerate accurate quote generation.
Energy
AI-Driven Inventory Matching for Smarter Operations
A leading electrical power and distribution provider faced inefficiencies in manually matching transformer orders to available inventory. 10Pearls developed an AI-powered application that automated order matching.
Energy
EV Charging Management Cloud Platform
A cloud-native EV charging platform scaled faster, improved reliability, and delivered the real-time performance needed to support growing demand.
Energy
Unifying Energy Data With AWS Analytics
Unified AWS analytics gave a renewable energy leader real-time portfolio insights, automated data pipelines, and faster decision-making at scale.
Energy
Advanced Analytics Dashboard
An advanced analytics dashboard unified data workflows, improved transparency, and delivered real-time performance insights for smarter decisions.
Ready to get started?
Contact us today to learn how we can transform your products or ideas into scalable solutions that drive business value and growth.