Case Study: AI Analytics Platform
- 10+ years of experience
- (©2015 — 2026)
Project overview
AI-powered
analytics
A machine learning platform that turns raw sales and inventory data into clear forecasts, helping a retail group plan stock and promotions with confidence.
RetailIQ Group
ML & AI development
Web & cloud
March 2026
Building An AI Analytics Dashboard
The client had years of sales data spread across spreadsheets and legacy systems. We consolidated it into a secure cloud data pipeline and trained demand-forecasting models tailored to each store and product category.
An interactive dashboard puts predictions, trends and alerts in front of managers, so decisions that once took days now take minutes.
- Accurate demand forecasting
- Automated data pipeline
- Role-based dashboards
- Real-time alerts
From Discovery To
Launch.
Discovery
We studied the client’s goals, users and existing systems to define clear requirements and success metrics.
Planning & design
User flows, architecture and interface designs were created and approved before development began.
Development
Our engineers built the solution in agile sprints with regular demos, so feedback shaped every release.
Testing & launch
Thorough QA, performance and security testing ensured a smooth go-live, followed by ongoing support.
The Result
An interactive dashboard puts predictions, trends and alerts in front of managers, so decisions that once took days now take minutes. The solution is secure, scalable and ready to grow with the business.
Aidigitek continues to support the client with maintenance, enhancements and performance monitoring.