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Foodservice Data Platform Modernization and Optimization

djangostars.com

Food & Beverage

Business Challenges

Following acquisition by a Fortune 500 company, the foodservice data provider's platform experienced increased load and app complexity. This resulted in reduced operational efficiency, difficulties in lead management for sales teams, and a need for improved data filtering and user experience to accelerate sales processes.

About the Client

A leading US-based provider of foodservice data and analytics, serving manufacturers, operators, and distributors. Recently acquired by a Fortune 500 company.

Project Goals

Restructure application logic and process flows for improved operational efficiency.
Redesign user experience to enhance lead management and sales team productivity.
Optimize data management to streamline data assignment, filtering, and qualification.
Increase platform scalability to handle higher data volumes.

Functional Requirements

Improved lead filtering and qualification system.
Redesigned user interface (UI) for enhanced usability.
Streamlined data management workflows.
Enhanced data processing and analytics capabilities.
Improved reporting and data visualization.

Preferred Technologies

Python

Django

Integrations Required

Potential integrations with CRM systems used by sales teams.

Key Non-Functional Requirements

Scalability to handle increased data volume and user traffic.
High performance and responsiveness.
Secure data management and access controls.
Maintainability and extensibility for future enhancements.

Expected Business Impact

This project is expected to significantly improve sales team efficiency, accelerate lead management processes, enhance data accessibility, and support continued business growth for the foodservice data provider. The optimized platform will enable the client to process more data, provide more valuable insights to clients, and maintain a straightforward, intuitive sales team workflow.