Retail brands are sitting on mountains of customer data but struggling to activate it. We unify data from ecommerce, POS, loyalty programmes, and marketing platforms into a single intelligence layer that drives real revenue growth.
The Reality
Retail teams aren't failing because they lack data. They're failing because customer data is trapped in platform silos, manual exports, and disconnected systems. These problems compound — and they're costing you millions in lost customer lifetime value.
Ecommerce platform, POS, CRM, loyalty programme, email marketing, and social — every system has its own customer record, its own IDs, and its own version of the truth.
You know personalisation matters but you're stuck on rule-based segments. You can't deliver 1:1 recommendations, dynamic content, or real-time offers at the speed customers expect.
Demand forecasting relies on spreadsheets and last year's numbers. You're either sitting on excess stock or losing sales to stockouts — and you can't see it coming until it's too late.
You have a loyalty programme but no idea which rewards drive repeat purchases, what the true cost of redemption is, or how to predict which members are about to churn.
You're spending across paid search, social, email, and in-store — but you can't connect the dots to understand which touchpoints actually drive conversion and lifetime value.
By the time reports are pulled and analysed, the opportunity has passed. Your teams can't act on in-session behaviour, flash inventory changes, or competitor price shifts.
Your ecommerce data lives separately from in-store. You can't build a unified customer journey, and omnichannel experiences remain a slide deck aspiration, not a reality.
Product performance analysis, category reviews, and assortment decisions depend on manual data pulls. By the time insights arrive, the buying window has closed.
Our Expertise
Implement a unified Customer Data Platform that stitches together online, in-store, and third-party data into a single customer profile — powering real-time personalisation at every touchpoint.
Optimise every step of the digital customer journey — from product discovery through checkout — with conversion analytics, funnel analysis, and A/B testing at scale.
Replace inventory guesswork with AI-powered demand forecasting, stock optimisation, and fulfilment analytics — reducing stockouts while minimising overstock costs.
Unlock the full value of your loyalty programme with churn prediction, LTV modelling, and retention campaign analytics — turning one-time buyers into lifelong customers.
AI-Powered
Go beyond dashboards. Our AI agents continuously monitor, personalise, and optimise your retail operations — turning customer data into revenue before your team even opens a report.
AI Recommendation Engine
An AI agent that delivers hyper-personalised product recommendations in real-time — leveraging browsing behaviour, purchase history, and contextual signals to maximise basket size and conversion.
Dynamic Pricing Intelligence
An AI-powered pricing agent that monitors competitor pricing, demand elasticity, and inventory levels — recommending optimal price points to maximise margin without sacrificing volume.
AI Demand Forecasting
A predictive AI agent that forecasts demand at the SKU level — factoring in seasonality, promotions, weather, and market trends to optimise inventory and reduce waste.
Personalised Marketing Agent
An AI agent that orchestrates personalised marketing campaigns across email, SMS, push, and paid channels — selecting the right message, channel, and timing for each customer.
Our Process
A proven 5-step methodology refined across retail engagements — designed to deliver value at every stage, not just at the end.
We map your entire retail data ecosystem — ecommerce platform, POS, CRM, loyalty, marketing tools — identifying gaps, quality issues, and quick wins.
We design the target-state architecture: unified customer profiles, data pipelines, analytics models, and the personalisation framework that ties it all together.
Our team builds the CDP, implements analytics dashboards, deploys AI models, and connects your tech stack — with bi-weekly demos and continuous feedback loops.
We activate unified customer segments across channels, launch personalisation engines, and deploy real-time recommendation models that drive measurable revenue.
Post-launch, we continuously monitor performance, retrain AI models, expand use cases, and ensure your retail intelligence layer evolves with your business.
Retail Tech Stack
We don't force you onto a single platform. We orchestrate the right combination of commerce, analytics, and data tools to build your unified retail intelligence layer.
Salesforce Commerce Cloud
Salesforce Data Cloud
Snowflake
Tableau
Databricks
Google Analytics
Shopify Plus
Power BI
+ native connectors to retail platforms & data sources
How We Work
Pick the engagement model that fits where you are. All engagements include a dedicated retail analytics lead and a clear outcome definition.
Ideal for: Teams needing clarity on their customer data landscape
A 2-week deep-dive into your retail data ecosystem — customer data sources, personalisation gaps, loyalty programme health, and analytics maturity — with a prioritised roadmap.
Ideal for: Organisations ready to unify and activate customer data
A full analytics build — from CDP implementation and customer 360 through to personalisation engines, inventory intelligence, and loyalty analytics — delivered in 8–14 weeks with a dedicated retail analytics team.
Ideal for: Teams that want ongoing expert retail analytics
We embed as your retail analytics Centre of Excellence — continuous optimisation, AI model management, dashboard evolution, and a dedicated analytics partner on call.
Case Study
A global retail brand had customer data scattered across systems with no unified view. Personalisation was limited to basic demographics. We implemented a Customer 360, deployed AI-powered recommendations, and built real-time loyalty analytics — increasing LTV by 35% and reducing churn by 22%.
35%
Higher customer LTV
22%
Reduction in churn
3.2×
Personalisation conversion lift
Higher customer LTV
Unified · Personalised · AI-Powered
Real Results
1000+
Projects
600+
Customers
20+
Years of Enterprise Expertise
4.5
Customer Satisfaction Score
Connected Services
Retail intelligence doesn't exist in isolation. These foundational services underpin every customer analytics and AI solution we deliver.
Unify, cleanse, and activate your customer data across platforms — building the foundation every retail analytics stack depends on.
Data EngineeringConnect your commerce platform to your unified data layer — for personalised shopping experiences that actually convert.
Commerce ServicesBuild the analytics infrastructure that powers retail intelligence — from data pipelines and semantic layers to governed data products.
Data DashboardingCommon Questions
Customer 360 & personalisation; ecommerce & digital analytics; inventory & supply chain intelligence; loyalty & retention analytics; AI recommendation engine (RecoEngine); plus cross-channel attribution and merchandising analytics. Cross-stack credentials across Salesforce Commerce Cloud, MCI, Tableau, Snowflake, Databricks, and modern customer data platforms.
Three layers. (1) Unified customer profile — typically built on Salesforce Data Cloud or a custom Snowflake / Databricks customer 360. (2) Real-time decisioning — recommendations served via AI / ML models at the moment of relevance. (3) Closed-loop measurement — attribution and lift testing to prove the personalisation is actually driving incremental revenue, not just attribution credit.
Unify them. Most enterprise retailers have well-instrumented digital channels but fragmented in-store data (POS, BOPIS, returns). We design data architectures that normalise both into a single customer profile — order is order, regardless of channel. This is where most retail data platforms fail; we use the failures as a checklist.
Focused engagements (one workload — e.g., personalisation engine or loyalty analytics) typically run 3–5 months. Enterprise programs (customer 360 + commerce + inventory + loyalty + measurement) run 6–12 months. Peak-season constraints add planning — we time go-lives around the trading calendar, not against it.
Yes. We're a Salesforce Commerce Cloud implementation partner. We also integrate with Shopify Plus, Magento, BigCommerce, and custom commerce stacks via standard data extraction patterns into Snowflake / Databricks. Order, customer, product, and inventory data flows are the four pillars; we have battle-tested patterns for each.
Cross-stack retail expertise — Salesforce SELECT (Commerce + Marketing + Service Clouds), Snowflake Select, Databricks Premier, plus battle-tested retail accelerators for Customer 360, personalisation, and unified commerce. Multi-channel retail clients across grocery, apparel, beauty, consumer electronics, and DTC brands.