Data infrastructure
built for retail margins

Retail organizations are compressing decision cycles and personalizing at scale with AI-powered data infrastructure. SunnyData builds the foundation.

Trusted by Leading Organizations

THE REAL CHALLENGE

Retail moves fast. Data often doesn’t.

In retail, slow data means missed margins, overstocked shelves, and poor customer experience.
The gap between what your data knows and what you act on is costing you.

Retail inventory decisions lagging reality — SunnyData replaces batch reporting with real-time Databricks data to eliminate overstock and out-of-stocks that erode margins
Retail customer data unified on Databricks — connecting loyalty, POS, e-commerce, and CRM for personalization that goes beyond surface-level
Proactive retail supply chain visibility on Databricks — connecting supplier data to demand signals before disruptions hit shelves
Real-time retail pricing and promotions on Databricks — replacing last season's rules with live demand signals that adapt mid-campaign

The retailers winning right now aren't faster; they're more informed at every decision point. That advantage is built on data infrastructure, not instinct.

What We Build

Every capability is built to drive margin and growth.

From the customer journey to the supply chain, we build the data and AI infrastructure that turns retail complexity into a competitive advantage.

Customer intelligence

Customer intelligence
& personalization

Unified loyalty, POS, and e-commerce data powering ML models that predict next purchase, churn risk, and lifetime value.

  • Unified customer profiles across all channels
  • Segment-of-one personalization at scale
  • Higher conversion on targeted campaigns
Supply chain intelligence

Supply chain
intelligence

Supplier data, logistics feeds, and demand forecasts are unified, and disruptions are anticipated before they reach shelves.

  • Proactive disruption detection
  • Demand-driven procurement
  • Reduced carrying costs
Dynamic pricing

Dynamic pricing &
promotion optimization

ML-driven pricing that responds to demand signals and inventory levels in real time.

  • Real-time competitive price matching
  • Margin-aware promotion planning
  • Elasticity modeling by SKU
Unified merchandising analytics

Unified merchandising
analytics

Sell-through, planogram performance, and category data in one layer. Assortment decisions backed by data, not gut feel.

  • Faster sell-through on new assortments
  • Category-level performance visibility
  • Planogram compliance tracking

THE PLATFORM

Why Databricks is the right foundation to build on.

Beyond what we build, here's what the platform itself brings to the table. 
Capabilities that no point solution can match.

ML and AI at scale for retail on Databricks — AI-driven automation reducing large processing teams to focused oversight groups

ML & AI at scale

Train and deploy demand forecasting, personalization, and pricing models directly on your data.

ML & AI at scale

Train and deploy demand forecasting, personalization, and pricing models directly on your data.

Retail data platform costs that scale with actual usage on Databricks — compute-based pricing with no per-seat licensing or vendor penalties

Cost that scales with your business

Compute-based pricing with no per-seat licensing. Costs scale with actual usage, not vendor tiers or data volume penalties.

Cost that scales with your business

Compute-based pricing with no per-seat licensing. Costs scale with actual usage, not vendor tiers or data volume penalties.

Self-service analytics

Business teams query data in plain language and get governed, accurate answers.

Open standards, full control

Built on open formats, meaning full IP ownership, no vendor lock-in, and the flexibility to integrate with existing technology.

Open standards, full control

Built on open formats, meaning full IP ownership, no vendor lock-in, and the flexibility to integrate with existing technology.

Open standards retail data architecture on Databricks — full IP ownership, no vendor lock-in, and flexibility to integrate with existing technology
Self-service retail analytics on Databricks — business teams querying data in plain language and getting governed, accurate answers

Self-service analytics

Business teams query data in plain language and get governed, accurate answers.

CLIENT RESULTS

Enterprise-scale analytics for Farmatodo

Real-time inventory and customer analytics that compressed decision cycles from days to hours across a large retail network. Farmatodo moved from overnight batch reporting to live operational intelligence, enabling store managers and merchandising teams to act on current data, not yesterday's snapshot.

Farmatodo retail store — enterprise-scale inventory and customer analytics case study delivered by SunnyData on Databricks

THE PLATFORM

Built for retail complexity. 
Delivered with clarity.

Retail data is messy, distributed, and fast-moving. We've built practices specifically for it, and we transfer that expertise to your team.

Start with the business outcome

Every engagement begins with the decisions your organization needs to make faster, and works backward to the data infrastructure required to support them. Technology follows business priority.

Build alongside your team

Your analysts, engineers, and data teams are involved throughout. Instead of being handed a finished product, they learn patterns they'll apply independently.

No proprietary layers

Everything we build uses Databricks-native capabilities and open standards. You own the IP, understand how it works, and don't need us to maintain it.

Designed to scale with the business

We architect for where you're going, not just where you are. Every engagement is designed to deliver now and expand as new use cases demand it.

The data is already there.
Turn it into a competitive advantage.

Your teams have the domain knowledge. Databricks provides the platform.
SunnyData builds the infrastructure that connects them.