Demand and capacity planning
Forecast order volume and service pressure so operations teams can plan coverage around observable signals.
Marketplace · On-demand delivery
Lezzoo
A connected customer, courier and administration platform for multi-category on-demand services.
On-demand delivery service
Discuss a delivery platformAI Development opportunities
Use AI to make delivery operations clearer and more accountable
A modern extension could help teams interpret marketplace activity faster while keeping customer communication, courier treatment and operational decisions under human control.
Dispatch exception triage
Summarize delayed, rejected or unusual orders and route consequential cases to an accountable operator.
Support copilot
Retrieve approved order and policy context, draft responses and keep customer or courier escalation with a person.
Quality and anomaly monitoring
Surface changes in delivery patterns, integrations and marketplace behavior for investigation—not automatic judgment.
Delivery guardrail
Any AI feature would require location-data privacy, worker-impact review, fairness testing, explainable signals, measurable evaluation, model monitoring and a human escalation path.
Explore AI Development →01
Project context
One marketplace for everyday on-demand services
Lezzoo aggregates food, groceries, pharmacy and cosmetics, flowers, laundry, gas and additional local services.
Its product model connected convenience and choice with a marketplace designed for customers whose routines depended on fast local fulfillment.
02
Problem to be solved
Add courier operations and administration to an existing customer product
- Serve customers, couriers and service operators through distinct but connected workflows.
- Integrate new courier-management capabilities with the existing customer application.
- Design and build an administration system for permissions, teams, pricing and live order operations.
The seven-month engagement used two-week sprints, daily developer meetings, twice-weekly client calls and sprint demos.
03
Customer system
Preserve the existing experience while connecting new operations
The customer system supported sign-in, ordering, favorites, supplier and product browsing, and customer-service chat. New systems integrated with that established product.
04
Administration system
Role-aware tools for managing people, places and orders
Configurable roles gave administrators, supervisors and dispatchers permissions aligned with their responsibilities.
Administrative areas
Create cities by country, then filter the operating structure by location.
Custom price bidding
Break cities into subzones with configurable pricing.
Team management
Create and edit courier and administration teams with role-based permissions.
Vehicle types
Assign cars, bikes and other vehicle categories to couriers and pickup points.
Operational dashboard
Track regular and courier orders in real time.
Order statistics
Review completed work and app-calculated earning history.
Rating system
Present courier rankings and ratings to authorized teams.
05
Courier system
A mobile operating view for courier shifts
Advanced order search
Find suitable orders for a courier shift.
Order status
Move work through accepted, rejected, pickup, transit and completion states.
Real-time statistics
Track personal delivery activity and the historical rank view.
In-app chat
Give couriers a direct route to dispatchers when an order needs attention.
Technology
Microservices and real-time product infrastructure
The architecture used microservices, NATS, Bull queues, CQRS, frontend and backend CI/CD, and AWS deployment.
Node.js
NestJS
TypeScript
MongoDB
Redis
Docker
NATS
Socket.IO
Bull
AWS CloudFormation
React
Next.js
Redux-Saga
CI/CDDelivery snapshot
A cross-functional delivery team
The PDF states that eight people participated: one project manager, one UI/UX designer and six developers.
The team brought together product management, UI/UX design and six developers.
1Project manager
1UI/UX designer
6Developers
Project outcome
A connected operating model for a multi-service marketplace
The revenue model used delivery fees that varied by time, distance and service.
The delivered systems created a smooth, scalable experience for customers, couriers and operations teams.
Building an on-demand platform?
Connect customers, operations and responsible AI.
We can help shape the product, systems and AI roadmap around the people and workflows that keep delivery moving.
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