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Quick Commerce JustZapp

JustZapp: Optimizing Delivery Operations with Real-Time Analytics

Challenge
Fragmented delivery data, no visibility into driver performance or delivery times
Solution
Real-time data pipeline + operational dashboards
Results
23% faster deliveries, 18% reduction in operational costs, real-time visibility

The Challenge

JustZapp, a fast-growing quick commerce platform in the UK delivering everything from groceries to electronics, was struggling to optimize their delivery operations. With thousands of daily orders across multiple cities, they faced critical data challenges:

  • Order data in their app backend
  • Driver GPS data in a separate tracking system
  • Customer feedback scattered across multiple channels
  • Warehouse inventory in legacy systems
  • Payment data in Stripe

The Problem:

  • No real-time visibility into delivery performance
  • Couldn't identify bottlenecks in the delivery process
  • Driver allocation was based on guesswork, not data
  • Customer complaints about late deliveries were increasing
  • Operations team spent hours manually compiling reports

The Solution

We built a comprehensive real-time analytics platform in 10 weeks:

Phase 1: Data Integration (Weeks 1-4)

  • Connected all operational data sources into a unified pipeline
  • Implemented real-time streaming for driver GPS and order status
  • Set up automated data quality monitoring
  • Established a cloud data warehouse on BigQuery

Phase 2: Operational Analytics (Weeks 5-8)

  • Built real-time dashboards for operations managers
  • Created driver performance scorecards
  • Implemented delivery time prediction models
  • Developed zone-based demand forecasting

Phase 3: Optimization & Automation (Weeks 9-10)

  • Deployed automated alerting for delivery delays
  • Built driver allocation recommendations engine
  • Created executive KPI dashboards
  • Trained operations team on self-service analytics

The Results

Delivery Performance

  • 23% reduction in average delivery time
  • Real-time tracking of every order from warehouse to doorstep
  • Predictive alerts catch 85% of potential delays before they happen

Operational Efficiency

  • 18% reduction in operational costs through optimized routing
  • Driver utilization improved by 31%
  • Reporting time reduced from 4 hours daily to automated real-time

Customer Satisfaction

  • Late delivery complaints dropped by 42%
  • Customer NPS improved by 15 points
  • Repeat order rate increased by 12%

Technical Stack

  • Data Warehouse: Google BigQuery
  • Streaming: Apache Kafka + Google Pub/Sub
  • ETL: Fivetran + custom Python pipelines
  • Visualization: Looker
  • Alerting: Custom Slack integrations

What Our Client Said

"Before Logizly, we were flying blind. Now we can see exactly what's happening across our entire delivery network in real-time. The 23% improvement in delivery times has been a game-changer for customer satisfaction and our bottom line."

— James Mitchell, Head of Operations, JustZapp

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