EatFast – On-Demand Delivery Ecosystem
When delivery delays hit 45+ minutes and customers are choosing competitors, you don't need a better app — you need a better algorithm. SoftGen built an AI-powered dispatch system that cut transit times by 25% and made real-time tracking actually real-time.
Transforming Disconnected Workflows Into a Unified Digital Engine
EatFast was bleeding customers to PickMe Food and Uber Eats — not because their restaurant partners were worse, but because their technology was. Manual driver allocation meant the nearest rider wasn't always assigned, routes weren't optimized, and 'real-time tracking' was actually a 30-second delayed approximation. SoftGen rebuilt the entire logistics backbone to compete with billion-dollar platforms on a startup budget.
Key Architectural Takeaways
Addressing Real Operational Bottlenecks
How SoftGen dissected operational friction and engineered a high-concurrency cloud solution.
The Operational Challenge
Legacy Workflow Deficiencies
Three interrelated problems were destroying the business: (1) Manual driver dispatch meant orders were assigned based on who was 'next in line,' not who was geographically closest — adding 8-15 minutes of unnecessary transit time. (2) Delivery tracking updated every 30 seconds, which in a fast-moving urban environment meant the rider's position was often 500m+ outdated. (3) Kitchen-to-rider handoff was uncoordinated — riders arrived before food was ready or food sat cooling while riders were en route from distant locations.
- ✕Fragmented learning materials spread across email, messaging apps, and static drives
- ✕Zero telemetry into whether trainees completed reading assignments or practice tests
- ✕Reliance on third-party video call subscriptions with no native LMS attendance tracking
Our Engineered Solution
Custom Cloud Architecture
SoftGen implemented a three-pronged solution: (1) A geospatial dispatch algorithm using Google Maps Distance Matrix API that calculates actual road distance (not straight-line) to assign the nearest available rider. (2) Firebase Firestore real-time listeners providing sub-second GPS updates to all three stakeholders simultaneously. (3) A kitchen readiness signaling system where restaurants mark orders as 'Plating' when 80% complete, triggering rider dispatch so both arrive at the same moment.
- Unified portal with role-isolated dashboards for Admins, Trainers, and Trainees
- Interactive assessment engine with automatic grading, rubrics, and feedback loops
- Embedded LiveKit WebRTC video meetings avoiding external software overhead completely
End-to-End Operational Lifecycle
How training assets, evaluations, and real-time sessions flow securely through the system.
Identity & RBAC
Row-level access rules separating Admins, Trainers, and Trainee permission scopes.
Secure Courseware
DRM-protected PDF viewer and centralized video library with zero download leakage.
Evaluation Engine
Randomized quizzes, manual exercise rubrics, and automated grading pipelines.
WebRTC Classroom
Low-latency virtual rooms powered by LiveKit Cloud with waiting-room moderation.
Real-Time Telemetry
Continuous trainee scoring, attendance metrics, and automated administrative reporting.
Modular Systems Built for Scale
Each module was architected to replace friction-heavy manual processes with automated software workflows.
Geospatial Smart Dispatch
Distance Matrix-powered allocation that considers actual road networks, traffic conditions, and rider availability to assign the optimal delivery agent — not just the nearest one on a map, but the fastest one on actual roads.
Three-Way Real-Time Sync
Firebase Firestore listeners provide sub-second updates across customers, restaurants, and riders simultaneously. When a rider turns a corner, the customer sees it within 800ms — making tracking genuinely real-time, not a delayed approximation.
Modern, Scalable Enterprise Stack
Carefully chosen frameworks and cloud infrastructure for extreme velocity, security, and low latency.
Measurable Operational Impact
Concrete performance metrics and organizational improvements verified in live production.
Audited Performance
25% Reduction in average delivery transit times — from 38 minutes to under 28 minutes
Sub-second GPS tracking accuracy — customer map updates within 800ms of rider movement
Kitchen-to-rider sync reduced food waiting time from 12 minutes average to under 2 minutes
“The automated dispatch logic SoftGen built completely solved our logistics bottleneck. Our delivery times dropped drastically.”
SoftGen Enterprise Assurance
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