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INDUSTRY

Retail & F&B

Loyalty data, inventory, store operations and marketing automation.

Pain points

  • Three customer databases — website, app, POS — that don't agree on who anyone is
  • Loyalty program drives one-time sign-ups but no repeat purchase lift
  • In-store associates have less info about the customer than the customer's own phone shows them
  • Inventory and pricing decisions made on yesterday's data at best

Our approach

  • Identity resolution that survives email-vs-phone-vs-membership-number mismatches
  • Real-time CDP feeding personalization across web, app, email and in-store kiosks
  • LLM-backed in-store assistant: customer-history lookup + product recommendation + multilingual
  • Closed-loop attribution so marketing spend gets credited correctly across channels

Compliance baseline

  • Singapore PDPA
  • PCI-DSS for payment-flow integrations

Industry context

Singapore retail is competitive and multi-channel. The same customer browses the app over lunch, taps an Instagram ad on the MRT, and walks into a store on the way home. Treat those as three unrelated transactions — that’s the shortest route to losing the customer.

What we usually deliver

A consistent play: identity unification first, then channel activation. We don’t push any single vendor — first we align the customer record across Web / app / POS / email / ads / loyalty, then we recommend the tools that actually bring customers back.

Once the CDP is live, the activation plan usually runs:

  1. Email + push personalisation (low lift, fast payoff)
  2. Web + in-app personalisation
  3. In-store staff Pad plus an AI assistant
  4. Paid media with closed-loop attribution

What clients see

Real numbers from an omnichannel retailer (FY2025) — full write-up in the case study:

Case studies in this industry

How a Singapore multi-brand retailer unified 2.4M customer profiles and lifted repeat purchase by 27%

Replatformed three legacy customer databases onto a real-time CDP, layered an LLM agent for personalized merchandising across web, app and in-store kiosks — first quarter saw 27% lift in repeat-purchase rate.

FY2025 · 14-week first release + ongoing quarterly delivery

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Dive Deeper

Services Our services

10 service lines — AI data platform, IT integration, cloud & security, compute. One local counterparty across the lifecycle.

Explore our services → Cases Client stories

Financial services, manufacturing, retail, construction, energy — the architecture, timelines and operating models from delivered engagements.

Read the stories →
Talk to us

Start with the problem. The solution comes after.

A 30-minute call with a solution architect. No spec needed — just tell us where the business is stuck. Systems that don't talk. Data that won't behave. An overseas office with no one running IT. A DR plan on paper that no one has tested. A first AI use case you want to try for real. If we fit, we'll show you the next step. If not, we'll tell you straight.

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