Client Success Story

Achieving 30% Faster Food Deliveries for a Restaurant Chain with Data Visualization and Analytics Support

THE CLIENT

A Leading European Restaurant Chain

Our client operates through diners and third-party delivery apps. The chain has recently expanded into three new locations, facilitating delivery operations through food delivery apps like Deliveroo, Just Eats, and Uber Eats. While this expansion increased their presence and popularity in Europe, it also increased the overall data load, making the need for a centralized data system more urgent.

PROJECT REQUIREMENT

Data Integration and Visualization for Better Performance

The recent expansion generated more data that was yet to be integrated with existing records. Without this consolidated data on factors like order details, delivery routes, delivery time, and customer feedback, the client had little visibility into the performance of their food delivery operations.

To address these issues, they required a comprehensive data solution that would:

  • Integrate data (order details, delivery routes & times, and customer feedback) from multiple third-party food delivery apps into a unified system
  • Provide visual insights through performance dashboards and custom reports into KPIs like average delivery times, region-wise order volume, etc.
  • Keep data synchronized and up-to-date with near real-time updates and regular audits
THE CHALLENGES

Fragmented Data that Obstructed Appropriate Analysis

Upon analyzing the client’s existing food-delivery framework, we identified two main challenges.

  • The data (like delivery time and customer feedback) was dispersed across their systems as well as multiple third-party food delivery apps (Deliveroo, Uber Eats, Just Eats), making it difficult to achieve a holistic view of order performance
  • Without timely reports and visual insights, the client lacked real-time visibility into key performance and inventory metrics (stock of popular menu items, ticket size, location-based uptime, average route time, wait time, etc.)
THE SOLUTION

Streamlining Delivery Operations with Data Integration, Visualization and Analytics

We proposed a comprehensive business intelligence (BI) solution focused on eCommerce data integration, visualization, and reporting.

1

Data Integration from Multiple Sources

  • We implemented automated ETL (Extract, Transform, Load) pipelines with Apache Kafka and AWS Lambda to collect data from multiple apps.
  • Using Apache NiFi for real-time data flow management, we integrated this data with the client’s records.
  • The consolidated data was stored and managed in Amazon Redshift for scalable, secure, and high-performance data warehousing.
2

Visualization and Reporting

  • For in-depth data visualization and analysis, we integrated the data warehouse with tools like Power BI.
  • We designed and developed interactive custom dashboards that provide real-time visibility into key performance indicators, such as delivery times, order volumes, customer satisfaction metrics, and many other metrics, by region.
  • Our data reporting services also included visualizations as per specific requirements. For example, we developed a heat map showing delivery times across different cities to identify those with higher delivery delays.
3

Additional Plugins and Libraries for Deeper Insights

  • We also used advanced visualization libraries and tools like D3.js and Plotly to enhance dashboard capabilities with a broad range of charts and visual representation options, such as Sankey diagrams, force-directed graphs, candlestick charts, etc.
4

Machine Learning-Based Analytics and Optimization

  • We integrated machine learning frameworks like Amazon SageMaker to predict trends, identify bottlenecks, and recommend delivery improvements by analyzing historical data and highlighting patterns.
  • Our team tailored them to forecast delivery times, optimize routes, and anticipate customer demand.

Technology Stack

Data Integration and ETL

  • Apache NiFi
  • Apache Kafka
  • Icon-Architecture/64/Arch_AWS-Lambda_64 Created with Sketch.
    AWS Lambda

Data Storage and Warehousing

  • Amazon Redshift

Data Visualization and Reporting

  • Power BI
  • D3.js
  • image/svg+xml
    Plotly

Machine Learning

  • Icon-Architecture/64/Arch_AWS-SageMaker_64 Created with Sketch.
    Amazon SageMaker
  • TensorFlow
  • image/svg+xml scikit
    scikit-learn

Project Outcomes

Proactive data integration, visualization, and reporting enabled the client to examine finer details and identify workflow and delivery bottlenecks. The BI system was also able to handle growing data volumes from multiple sources, facilitating sustained growth in their food delivery operations.

30% reduction in average delivery times through real-time data visibility and optimized delivery routes

20% increase in on-time deliveries due to timely issue identification

Automating data collection and processing and minimizing manual effort also led to a 25% reduction in operational costs

CONTACT US

Get Assured Success with Deeper Data Insights into your Operations

By consolidating data from multiple platforms and integrating advanced data analytics, machine learning, and robust visualization tools, we delivered a solution that significantly improved our client's delivery performance and operational efficiency. You can achieve similar results for your business with our comprehensive data visualization and reporting services. Get in touch with us to learn more.