India’s jewellery industry is rapidly shifting toward AI-enabled retail—where personalization, operational precision, and data-driven supply chains determine competitive advantage. A fast-growing premium jewellery brand has taken a bold step by developing an AI-powered transformation roadmap using Databricks, laying the foundation for scalable growth across stores and digital channels.  

‍

The Challenge: Disconnected Systems, High Operational Complexity

‍

Like most large retailers, the business relied on siloed ERP, POS, CRM, and PLM systems—each holding critical insights but not integrated.

This resulted in:

• Limited real-time SKU profitability visibility

• Manual gold costing reconciliation (FIFO)

• Merchandising decisions driven by intuition

• Low personalization maturity

• High exposure to gold price volatility and ageing stock risk  
  ‍

The Databricks Intelligence Layer: A Connected AI Foundation

‍

The initiative began by building a unified Delta Lakehouse, connecting costing, SKU metadata, sales, inventory movement, store performance, digital behaviour, and CRM signals. This enabled:

• Margin Intelligence with true cost lineage

• Design DNA personalization across 20,000+ SKUs

• Predictive models for replenishment, forecasting, and procurement

• Multi-agent AI systems for pricing, audit, CLV, and margin governance  

AI Capabilities Enabled

Margin Intelligence:
Real-time GP%, batch cost lineage, margin erosion tracking, and audit bots.

‍
Design DNA:
Taste vectors built from behaviour, vision embeddings, and SKU attributes.

‍
Predictive Merchandising:
Demand forecasting, ageing prediction, safety stock optimization.

‍
Agentic AI:
Dynamic pricing, stock clearance, profitability segmentation, and policy assistants.  

‍

Business Impact

‍

• 22% higher AOV

• 10–15% conversion uplift

• 40% faster design cycles

• Better inventory turns

• Proactive margin protection

• Connected insights across the enterprise  

‍