Retail & Manufacturing
Diamond Price Prediction
The client wanted an application to estimate price of polish diamonds based on different parameters like: Carat, Color, Shape, Fluorescence, Symmetry, RAP etc. This application was to be used by the client’s purchasing department to replace the manual pricing procedure they had been following till date.
The Challenge
What Was Holding the Business Back?
Manual diamond price estimation was time-consuming, inconsistent, and dependent on multiple quality parameters, affecting purchasing efficiency.
Manual Pricing
Diamond prices were estimated manually, increasing processing time and reducing operational efficiency.
Complex Evaluation
Pricing decisions depended on multiple diamond characteristics, making accurate valuation challenging.
Price Variance
Manual calculations resulted in inconsistent pricing across purchasing decisions.
Decision Delays
The purchasing team required a faster and more reliable pricing mechanism to support procurement activities.
Objective
What We Set Out to Achieve
Develop an intelligent pricing application that accurately estimates polished diamond prices based on key quality attributes. The objective was to automate the pricing process, improve consistency, reduce manual effort, and provide purchasing teams with a faster, data-driven decision support tool.
Our Approach & Solution
How We Delivered Results
A Power Apps solution integrated with a machine learning prediction engine was developed to automate diamond price estimation through an intuitive user experience.
01
Application Design
Developed a user-friendly Power Apps interface that captures key diamond attributes required for price estimation.
02
AI Price Prediction
Integrated a machine learning prediction model that calculates diamond prices based on multiple quality parameters.
03
API Integration
Connected the prediction engine through a custom API, custom connector, and Power Automate for seamless communication.
04
Business Deployment
Delivered the solution to purchasing teams, enabling real-time price estimation within existing business processes.
Machine Learning
Applied predictive algorithms to estimate diamond prices using quality attributes such as carat, color, shape, and symmetry.
Power Platform
Leveraged Power Apps and Power Automate to create an intuitive, automated pricing experience.
Real-Time Pricing
Enabled instant price calculations, helping purchasing teams make faster and more consistent procurement decisions.
API Integration
Integrated a custom web API to securely expose machine learning predictions within the business application.
Results & Impact
The Outcome
The AI-powered solution accelerated price estimation, improved pricing consistency, and enhanced purchasing productivity.
AI
Price Prediction
80%
Less Manual Effort
1 App
Pricing Application
24/7
Instant Estimation
Conclusion
The Bigger Picture
The Diamond Price Prediction solution modernized the client's purchasing process by replacing manual price estimation with an AI-powered application built on Microsoft Power Platform. By combining machine learning, API integration, and an intuitive Power Apps interface, the solution delivered faster, more consistent pricing decisions while improving productivity and reducing pricing variability. The scalable architecture provides a strong foundation for future enhancements and intelligent procurement capabilities.
Additional Details
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