Client Overview
The client is a renowned Indian food brand with over 90 years of heritage. It is recognized for its diverse range of spices, masalas, and ready-to-eat products.
Operating across multiple channels, they rely on precise and consistent product data to maintain a competitive market presence.
Problem Statement
The client struggled to efficiently manage and enrich product data across disparate systems, resulting in a lack of centralization and control over data quality. This fragmented setup led to inefficiencies, affecting data consistency and operational workflows.
Key Challenges
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Disparate Data Systems
Product data enrichment occurred across various platforms, making data management complex and inconsistent.
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Absence of Centralized Management
Lacking a unified platform for channel allocation and product management, leading to labor-intensive processes.
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Limited Access Control
The lack of role-based access and approval workflows for products and digital assets increased the risk of data inaccuracies.
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No Reporting Capabilities
Missing reporting features on data quality and workflow progress, limiting visibility and tracking.
Solution Implemented
To address these issues, a customized PIM solution was implemented, enabling centralized management, improving governance, and streamlining operational processes.
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Unified PIM Data Model: Created a single platform to manage products, digital assets, and master data, allowing centralized and organized access to information.
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Approval Workflows: Developed approval workflows for product and asset data, enhancing quality control.
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Automated Notifications: Introduced a notification system to keep teams informed of updates and workflow progress.
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Custom Reporting: Implemented reporting features to monitor data quality, completeness, and workflow efficiency.
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Streamlined Publishing: Enabled clean data publishing to downstream channels, ensuring consistency across platforms.
Business Impact
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Centralized Data Management
Reduced time spent on data retrieval by 45% with a unified data model.
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Enhanced Data Governance
Role-based access and workflows decreased data inconsistencies by 35%.
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Improved Product Data Quality
Increased data completeness by 40% due to better reporting and structured workflows.
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Optimized Operational Efficiency
Automated enrichment and publishing reduced manual efforts by 50%, enhancing productivity.
Highlights
- 45% Reduction in Data Retrieval Time
- 35% Improvement in Data Accuracy
- 40% Boost in Data Completeness
- 50% Decrease in Manual Efforts
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