Retail & Ecommerce
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
Siloed Data. Missed Revenue.
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.
Customer data is siloed across dozens of systems
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.
Personalisation doesn't scale beyond basic segments
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.
Inventory decisions are based on gut instinct
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.
Loyalty programme performance is a black box
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.
Marketing attribution gaps across online and offline
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.
No real-time decision-making capability
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.
Online and offline channels are completely disconnected
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.
Merchandising insights take weeks, not minutes
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
End-to-End Retail Intelligence
Customer 360 & Personalisation
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.
- CDP implementation & unified customer profiles
- Real-time personalisation across channels
- Identity resolution & profile enrichment
- Segment activation & audience orchestration
Ecommerce & Digital Analytics
HIGH IMPACTOptimise every step of the digital customer journey — from product discovery through checkout — with conversion analytics, funnel analysis, and A/B testing at scale.
- Conversion rate optimisation (CRO) analytics
- Funnel analysis & drop-off identification
- A/B and multivariate testing at scale
- Product performance & merchandising insights
Inventory & Supply Chain Intelligence
Replace inventory guesswork with AI-powered demand forecasting, stock optimisation, and fulfilment analytics — reducing stockouts while minimising overstock costs.
- AI-powered demand forecasting
- Stock level optimisation & replenishment
- Fulfilment & logistics analytics
- Supplier performance monitoring
Loyalty & Retention Analytics
Unlock the full value of your loyalty programme with churn prediction, LTV modelling, and retention campaign analytics — turning one-time buyers into lifelong customers.
- Loyalty programme performance analytics
- Churn prediction & early-warning models
- Customer lifetime value (LTV) modelling
- Retention campaign optimisation
AI-Powered
AI Agents Built for Retail Teams
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.
RecoEngine
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.
- Real-time personalised product recommendations
- Collaborative & content-based filtering
- Cross-sell and upsell optimisation
PriceIQ
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.
- Competitor price monitoring & response
- Demand elasticity modelling
- Margin-optimised pricing recommendations
DemandCast
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.
- SKU-level demand prediction
- Promotion & seasonal impact modelling
- Automated replenishment triggers
PersonaAI
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.
- Next-best-action recommendation
- Channel & timing optimisation
- Automated journey personalisation
Our Process
From Raw Data to Retail Intelligence
A proven 5-step methodology refined across retail engagements — designed to deliver value at every stage, not just at the end.
Discovery & Data Audit
We map your entire retail data ecosystem — ecommerce platform, POS, CRM, loyalty, marketing tools — identifying gaps, quality issues, and quick wins.
Strategy & Architecture
We design the target-state architecture: unified customer profiles, data pipelines, analytics models, and the personalisation framework that ties it all together.
Build & Integrate
Our team builds the CDP, implements analytics dashboards, deploys AI models, and connects your tech stack — with bi-weekly demos and continuous feedback loops.
Activate & Personalise
We activate unified customer segments across channels, launch personalisation engines, and deploy real-time recommendation models that drive measurable revenue.
Optimise & Scale
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
Best-in-Class 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
Choose Your Starting Point
Pick the engagement model that fits where you are. All engagements include a dedicated retail analytics lead and a clear outcome definition.
Retail Data Assessment
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.
- Customer data source inventory & quality audit
- Personalisation maturity assessment
- Loyalty programme analytics review
- Tech stack evaluation & gap analysis
- Quick-win recommendations
Full Analytics Build
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.
- Everything in Retail Data Assessment
- CDP implementation & customer 360
- Personalisation engine setup
- Ecommerce & inventory dashboards
- Loyalty & retention analytics
- Team training & knowledge transfer
Managed Analytics Service
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.
- Ongoing dashboard management & evolution
- AI model monitoring & retraining
- Monthly loyalty & LTV reporting
- Dedicated retail analytics lead
- Priority SLA support
Case Study
From Fragmented Data to Measurably Higher Customer LTV
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
What Retail Teams Achieve With Us
1000+
Projects
600+
Customers
20+
Years of Enterprise Expertise
4.5
Customer Satisfaction Score
Connected Services
Services That Power Retail Intelligence
Retail intelligence doesn't exist in isolation. These foundational services underpin every customer analytics and AI solution we deliver.
Data Activation
Unify, cleanse, and activate your customer data across platforms — building the foundation every retail analytics stack depends on.
Data EngineeringSalesforce Commerce Cloud
Connect your commerce platform to your unified data layer — for personalised shopping experiences that actually convert.
Commerce ServicesDecision Intelligence
Build the analytics infrastructure that powers retail intelligence — from data pipelines and semantic layers to governed data products.
Data Dashboarding