— Industries · 03

The leap, at shopper scale.

Grocery, fashion, electronics, beauty, QSR, marketplaces. Where the loop between a customer's action and the firm's response decides whether you grow or get disintermediated by someone whose loop is faster.

§ 01
The shift, for retail

What the shift means here.

Retail is the most exposed sector in AI's first decade. Customers expect personalisation that was experimental two years ago. Operations expect inventory accuracy that requires forecasting models trained on signal that didn't exist five years ago. The leap is rebuilding merchandising, supply, and the customer-facing surface around AI that runs in production, not AI that runs in a Jupyter notebook.

§ 02
Where we typically work
— 01

Personalised commerce

Recommendation systems, on-site search, journey orchestration. Personalisation that respects privacy and respects the customer's attention.

— 02

Demand & assortment

Forecasting, planning, replenishment. From weekly batch to continuous.

— 03

Supply chain & stores

Inventory accuracy, labour planning, in-store operations augmented by AI rather than burdened by it.

— 04

Customer servicing

Conversational commerce, AI-augmented contact centres, returns at machine speed.

— 05

Marketing & merchandising

Creative at scale, campaign optimisation, attribution that survives cookie deprecation.

— 06

Operations data foundation

The retail-specific lakehouse that turns POS + e-commerce + supply + customer telemetry into a single picture.

§ 03
Compliance & governance
— Regimes we work within

DPDP Act, GDPR, PCI-DSS for payments, sector-specific consumer-protection regimes, and the platform-policy regimes of the marketplaces you sell through.

§ 04
Where to next

A conversation, before a proposal.

Every engagement starts with a 90-minute Leap Assessment — a working session with our partners, no retainer, no commitment. We leave you with a sharper sense of where the advantage sits in your specific context.