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zeb Wins AWS Rising Star Partner of the Year – Consulting Award
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Retail Agentic Data Activation Brickbuilder Solution Accelerator

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Overview

Our Retail Agentic Data Activation solution powered by Databricks Data Intelligence Platform enables retail and consumer goods companies to automatically transform diverse vendor and manufacturer data feeds into standardized product schemas. This foundation accelerates supplier onboarding, store expansion, and franchise acquisition while ensuring consistent, high-quality data flows into store operations systems. By leveraging agentic AI for intelligent content interpretation and automated pipeline generation, retailers can eliminate manual mapping efforts and maintain a single, trusted source of product data across their value chain.

Key Offerings

Intelligent Data Sampling & Interpretation

Automatically samples and analyzes incoming data feeds from vendors, manufacturers, and suppliers to understand content structure, field mappings, and business context using advanced AI agents.

Automated Pipeline Generation

Generates end-to-end ingestion pipelines with embedded business logic, data quality validation, and schema transformation rules tailored to each retailer's target product schema requirements.

Rapid Supplier & Partner Onboarding

Enables quick integration of new suppliers, franchise acquisitions, and store expansion data feeds, reducing onboarding time from months to days through intelligent automation.

Real-Time Data Quality Monitoring

Provides continuous monitoring of data flows with automated alerts for schema changes, quality issues, and pipeline performance to ensure consistent store operations data.

Unified Product Data Governance

Establishes a single source of truth for product information across all channels with comprehensive data lineage tracking and compliance controls built on Unity Catalog.

Deliverables

Pre-configured Data Ingestion Framework

Ready-to-deploy pipelines with common retail data transformation patterns and business rules

Agentic AI Content Interpreter

Advanced AI agents trained on retail product data structures for intelligent field mapping and content analysis

Automated Schema Mapping Engine

Self-learning system that continuously improves field matching accuracy based on historical transformations

Real-time Monitoring Dashboard

Comprehensive visibility into data pipeline health, quality metrics, and supplier feed performance

Data Quality & Validation Rules

Retail-specific validation logic for product hierarchies, pricing, inventory, and promotional data

Documentation & Training Materials

Complete implementation guides, best practices, and training resources for business and technical teams

Differentiator

1. Retail-Focused Agentic Design: Purpose-built AI agents specifically trained on retail product data patterns, supplier feed structures, and industry-standard schemas for faster, more accurate transformations.
2. Zero-Code Pipeline Creation: Business users can onboard new suppliers without technical intervention through intelligent automation that generates complete data pipelines with appropriate business logic.
3. Proven Integration Success: Successfully deployed across major retailers handling millions of SKUs daily, with demonstrated ability to reduce supplier onboarding time by 90% while improving data quality.
4. Enterprise-Scale Performance: Architected on Databricks Lakehouse for limitless scalability, supporting simultaneous processing of hundreds of supplier feeds without performance degradation.
5. Continuous Learning Intelligence: AI agents continuously learn from new data patterns and mapping decisions, automatically improving accuracy and reducing manual intervention over time.
6. Comprehensive Governance & Compliance: Built-in data lineage, audit trails, and regulatory compliance controls ensure full transparency and meet enterprise governance requirements.
7. Certified Retail Expertise: 200+ Databricks-certified specialists with deep retail domain knowledge deliver rapid implementations optimized for store operations and supply chain efficiency.