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The companies that are presented here sell groceries and beverages online and through delivery apps. Their catalog covers many product categories, each with its own attributes. They needed a PIM that could grow with the catalog, not slow it down.
Scaling the catalog without losing control over data accuracy or channel performance was the core problem.
Beverages and grocery items span many categories, each needing its own set of attributes and specifications to describe them properly.
Variants, brands, units, weights, and pack sizes created layers of complexity that a simple catalog structure could not handle.
The same product often existed across different catalog structures, creating duplication risk and inconsistent information.
Inventory and product data needed to stay in sync across owned e-commerce channels and quick-commerce platforms like Talabat and Instashop, without delays.
Product data, pricing, and stock feeds needed to flow from Oracle ERP without slowing down the platform, while also handling location-specific pricing and inventory.
We built a system around four priorities: structure, automation, multi-channel reach, and data quality.
Centralized Product Data Architecture
Custom Pimcore data models built around both the company's product categories and business rules.
Automated ERP and Channel Integration
Automated pipelines connecting Oracle ERP to the storefronts, with real-time catalog updates across every sales channel.
Quick-Commerce and Multi-Location Distribution
Automated feeds delivering location-aware catalogs and promotional pricing to Talabat and Instashop, along with location-specific stock processing.
Digital Asset and Data Quality Management
Centralized product images and assets in Pimcore DAM, backed by validation rules and structured workflows.
Better Visibility
Faster Operations
Improved Commerce Experience
If your catalog is growing faster than your systems can handle, a centralized PIM can change that. Let's build a data architecture that scales with you.
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