Client Overview
A retail and e-commerce distribution company based in Delhi, India, serving over 5,000 SKUs across multiple cities. They manage real-time inventory and order flow for both B2C and B2B models, and wanted to use AI to improve forecasting, reduce excess stock, and automate decision-making.
Our Approach
Our strategy focused on:
- Forecasting demand using time-series ML models
- Building AI-based pricing and inventory recommendations
- Segmenting customers through behavior clustering
- Automating insights delivery via AI dashboards
Challenge
The company struggled with fluctuating demand, high product return rates, and inefficient resource planning. Their existing tools lacked predictive capabilities, and insights were based on historical, static reports that didn’t support dynamic decision-making.
Artificial Intelligence
India
Key pain points included:
- Inaccurate demand forecasting
- Overstocking and understocking across warehouses
- Delays in pricing and promotion adjustments
- Lack of real-time customer trend analysis
Solutions Delivered
AI-Based Demand Forecasting Engine
Predicted product demand using ML models that recognize seasonal patterns and buying behaviors.
Smart Inventory & Pricing Optimization
Reduced stock issues and improved pricing through AI-driven recommendations and market trend analysis.
Customer Churn Prediction Model
Identified at-risk customers using transaction and engagement data to boost retention strategies.
AI-Powered Executive Dashboard
Delivered real-time, actionable insights for faster decision-making across departments and product categories.
Technologies Used
Business Impact / Results
Qematic’s AI solutions delivered data-driven transformation:
What Our Clients Say
"QeMatic's RPA team transformed our manual loan processing system. What once took days now happens in hours. Their deep platform knowledge and process-driven approach helped us reduce turnaround time by over 60% while staying fully compliant."
“We engaged QeMatic to integrate AI with our existing automation efforts. The results were outstanding — predictive quality control and demand forecasting brought a new level of intelligence to our operations. They truly understand the future of automation."
"QeMatic's Time and Motion Study uncovered hidden inefficiencies in our patient onboarding flow. Their insights led to a 30% improvement in staff productivity and better patient experience. The free consultation alone was eye-opening."
Key Highlights (Summary Box)
| Metric | Before | After |
|---|---|---|
| Forecast Accuracy | 60% | 85% |
| Excess Inventory | High | Reduced by 60% |
| Customer Retention | 50% | 85% |
| Pricing Decisions Cycle | Weekly Manual | Daily, AI-driven |
