
Client Overview
A premier online food delivery platform founded in 2014, operating in over 580 cities in India. In addition to food delivery, the company provides quick commerce services through its instant delivery platform and same-day package delivery service.
Problem Statement
The client faced significant inefficiencies in managing large volumes of product data and workflows. Internal teams and external brand partners struggled with time-consuming manual processes, lack of real-time tracking, and inconsistent data management, hindering operational efficiency and product launch timelines.
Key Challenges
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Manual Data Management
Relied on Microsoft Excel for handling substantial product and workflow data, increasing the likelihood of human errors and delays.
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Workflow Tracking
Monitoring progress across multiple internal teams depended on email communication, making it challenging to track task statuses in real time.
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Inefficient Brand Collaboration
Collaboration with external brands for product data updates required phone calls and Excel sheets, leading to miscommunication and delays.
Solution Implemented

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User-Friendly Brand Portal: Developed a portal with read and write capabilities for brands to submit product data directly to the client’s team.
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Centralized Admin Interface: Implemented an admin panel using Pimcore for centralized data management tailored to the client’s operational requirements.
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Comprehensive Data Model: Incorporated master data and digital asset management (DAM) within Pimcore for structured and efficient data handling.
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Automated Workflow System: Designed an automated system to manage:
a. Product submissions and reviews.
b. Data enrichment with client-specific details.
c. Pricing setup, product mapping, and catalog integration via APIs.
Business Impact
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Faster Turnaround
Automation reduced approval and product launch delays, enhancing time-to-market by 29%.
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Improved Workflow Efficiency
Streamlined processes fostered better collaboration and task management, reducing manual effort by 41%.
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Accurate Data Management
Centralized workflows enhanced data consistency, cutting down errors by 32%.
Highlights
- 29% increase in time-to-market
- 41% reduction in manual effort
- 32% enhanced data consistency

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