Reward-Sphere
Personalized Incentive Platform
A high-impact employee engagement and store incentive platform deployed across India. Leverages personalized recommendation systems and communication pipelines to reward performance, leading to a 3% revenue boost (Rs 7.5 Crore/month) and lowering store attrition by 5%.
01. The Engagement
I developed the scalable backend APIs, gamified incentive dashboards, and automated store communication modules that keep store managers informed and motivated.
TECHNICAL HIGHLIGHTS
- ▹ Gamified Incentive Trackers
- ▹ Personalized Store Recommendations
- ▹ Scalable Notification Workflows
- ▹ Performance Analytics & Metrics
- ▹ MongoDB aggregation queries optimization
02. Project Story & Deep-Dive
Engaging a Distributed Workforce
Retail store workers often face high attrition and low engagement, which directly impacts store sales. V-Mart's legacy commission and incentive rules were complex, offline, and lacked transparency, meaning staff rarely knew their targets or current commissions.
Architectural Focus
[Store Network Attrition] Store Count: 550+ Retail Stores Monthly Staff Turnover: 22% Target Visibility: Monthly report Engagement Index: Low
Personalized Incentives & Gamified Dashboards
We created Reward Sphere, a personalized incentive platform. It tracks and computes commission metrics in real-time, displaying them on intuitive dashboards. Utilizing MongoDB aggregations, we built an engine that suggests personalized sales targets to store managers to unlock higher rewards.
Architectural Focus
// MongoDB Aggregation for Incentives const storeIncentive = await db.collection("sales") .aggregate([ { $match: { storeId, month } }, { $group: { _id: "$empCode", totalSales: { $sum: "$amount" } } }, { $project: { incentive: { $multiply: ["$totalSales", 0.03] } } } ]).toArray();
Measurable Revenue & Attrition Gains
Transparent, real-time feedback drove store motivation, leading to a 3% increase in monthly revenue (approx. Rs 7.5 Crore in additional sales) and reducing staff attrition from 22% down to 17%—improving retention by 5% and saving recruitment costs.
Architectural Focus
[Store Performance Analytics] Sales Uplift: +3.0% (Rs 7.5 Cr/Mo) Attrition Decreased: 22% -> 17% Staff Participation: 94% Active Reward Payout Time: With the salary
