getfood

Case Study: Data Platform Optimization for Foodservice Data Provider

A U.S.-leading food service data provider delivers advanced data processing and analysis to support better business decisions. Django Stars built a scalable platform to streamline data pipelines, improve processing speed, and ensure reliable insights delivery.
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getfood
Team
6 team members
Type
Data analytics platform
Industry
Data & Analytics
Platforms
Web

About the Project

  • Django Stars joined as a tech partner to optimize the platform’s backend logic, workflows, and user experience, contributing to reliable Food service data solutions.
  • The platform helps sales and operational teams manage, filter, and analyze foodservice leads efficiently, improving visibility and day-to-day decision-making.
  • The client needed a scalable, user-friendly system to improve data handling and lead management for their sales teams while supporting business growth.
  • The main goal was to enhance platform performance, simplify workflows, and deliver an intuitive user interface for faster, more informed decisions.
About the Project

Challenges

Challenges
  • Complex and inefficient application architecture slowing development and scaling.
  • Complicated lead assignment and data management workflows.
  • Non-intuitive UX that made it hard for teams to work efficiently.
  • Difficulty in maintaining and extending the platform for future growth.
  • Lack of standardized processes across teams

Technologies we use

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We Delivered

01 Restructured backend logic to handle high-volume data efficiently.
02 Optimized workflows for sales teams and operational teams.
03 Redesigned key UI components: home page, login, filtering interface, and qualification flows.
04 Delivered maintainable code and scalable architecture for future growth.
05 Improved lead filtering and assignment to speed up sales decision-making.
06 Streamlined data handling, reducing bottlenecks in daily operations.
07 Aligned UX with real sales workflows to simplify everyday tasks.

Optimized user experience

To ensure easier lead management and accelerate communication with new restaurants, we redesigned home page, log-in, filtering system, and qualification process.

We’ve delved into Fortune 500 company operations specifics, identified the core points to optimize in the data provision software, and created a UX/UI solution that combines smooth data management with UX patterns familiar to the sales team.

Results of the Collaboration

Faster, more reliable data processing for sales and operations.

Intuitive interface improving lead discovery and decision-making.

Enhanced platform scalability and maintainability.

High client satisfaction with measurable improvements in operational efficiency.

Streamlined data flows enabled faster lead assignment and reduced manual work for sales teams.

Improved filtering and lead qualification helped sales teams find relevant leads faster and make quicker decisions within food industry software solutions.

Django Stars delivers food service software solutions, helping companies turn complex data into clear, actionable insights and smoother operations. We tackle challenges with data complexity, usability, and scalability so teams can work faster and make better decisions.

Testimonials

The portal was very well received by the business and helped our salespeople discover leads and insights about their markets/territories. The app was very easy to extend by internal technicians after our project was completed with Django Stars.

5.0
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