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Grocery Delivery App Enhancement for Q-Commerce Growth

netguru.com

Food & Beverage

Retail

eCommerce

Challenges in Grocery Vertical Growth

The client faced misaligned OKRs focused on quarterly deliverables rather than results, limited user insights due to minimal end-user touchpoints, and engineering teams excluded from design processes leading to compromised software quality. Existing grocery ordering flows underperformed against q-commerce standards with low conversion rates (CR), average basket value (ABV), and order volume.

About the Client

A leading food and grocery delivery platform serving 9 million monthly orders through a mobile app, specializing in 20-minute deliveries via dark stores and third-party convenience store partnerships.

Key Objectives for Grocery App Enhancement

Increase grocery conversion rate by 80%+ through optimized UX/UI flows
Boost average basket value by 20%+ via personalized recommendations
Scale monthly grocery orders by 90%+ through dark store network expansion
Establish industry-leading q-commerce standards in app experience

Core System Functionalities

Personalized grocery category recommendations engine
Streamlined 3-step checkout process with multiple payment options
Real-time inventory sync across dark stores and partner networks
Contextual user journey mapping with dynamic UX adaptations
Integrated loyalty program with basket-level incentives

Technology Stack Requirements

React Native for cross-platform mobile development

Node.js backend with microservices architecture

GraphQL API layer for efficient data fetching

Firebase for real-time notifications and analytics

Docker/Kubernetes for containerization and orchestration

Critical System Integrations

Dark store inventory management systems
Third-party convenience store POS systems
Payment gateways (credit cards, e-wallets, BNPL)
Logistics tracking and route optimization APIs
Customer data platform (CDP) for personalization

Non-Functional Requirements

99.99% uptime SLA with multi-region failover
Sub-200ms latency for 95% of API requests
Automated UI test coverage >90% for critical paths
Scalable architecture supporting 10M+ monthly orders
PCI-DSS compliance for payment processing

Projected Business Impact

Implementation of these enhancements is expected to drive a 75-90% increase in grocery conversion rates, 20-30% growth in average basket value through optimized upselling, and over 100% growth in monthly grocery orders. Technical improvements including 85%+ unit test coverage and full UI automation will reduce maintenance costs by 40% while enabling faster feature delivery cycles.