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IndustriesRetail & Commerce
AI for Retail & Commerce
Retail Intelligence That Sells More, Wastes Less
From demand forecasting and AI-powered recommendations to dynamic pricing and returns prediction — we build retail AI systems that increase basket value, reduce inventory waste, recover abandoned revenue, and personalise every customer touchpoint at scale.
Industry Challenges
The Pressures Facing Modern Retailers
Overstock write-downs, cart abandonment, rising return rates, supply chain volatility, and the demand for hyper-personalisation at scale are squeezing margins and challenging every retail operator regardless of size or channel.
6 key challenges
01
Inventory Overstock & Stockouts
Retailers lose an estimated $1.75T annually to combined inventory imbalances — overstock drives costly markdowns and working capital lock-up while stockouts send customers directly to competitors.
02
Cart Abandonment
Average e-commerce cart abandonment rates sit at 70–75%, representing hundreds of billions in recoverable revenue. Without real-time personalised intervention, the majority of this opportunity is permanently lost.
03
Personalisation at Scale
Customers receive generic email campaigns, untargeted promotions, and irrelevant product recommendations — while the data required for true 1:1 personalisation sits fragmented across CRM, CDP, and transactional systems.
04
Supply Chain Disruption
Port delays, supplier lead time volatility, and climate-related disruptions have made traditional supply planning models unreliable — exposing retailers to stockouts, air freight escalation, and margin erosion.
05
Return Rate Management
Online fashion and electronics return rates averaging 30–40% are consuming up to 65% of item margin through reverse logistics, reprocessing, and inventory depreciation — a problem worsening with every year.
06
Price Optimisation Complexity
Manually managing prices across thousands of SKUs, multiple channels, and competitor price changes is operationally impossible — leaving retailers either underpriced against willingness to pay or overpriced against market.
Healthcare Services
Retail & Commerce ServicesWe Deliver
End-to-end AI and commerce technology solutions for retailers, brands, and marketplaces — from demand forecasting and product discovery to dynamic pricing, customer intelligence, and returns reduction.
Demand Forecasting AI
ML-powered demand forecasting that ingests sales history, promotional calendars, seasonality, weather, and external signals to generate SKU-level forecasts with significantly higher accuracy than statistical baselines.
SKU-level demand forecasting with 94-day horizon
Promotional uplift modelling & event decomposition
Supplier lead time risk & safety stock optimisation
Automated replenishment recommendation engine
Product Recommendation Engine
Real-time personalisation engine that surfaces the right products to the right customer at every touchpoint — homepage, PDP, cart, email, and post-purchase — increasing conversion and average order value.
Collaborative & content-based filtering hybrid models
Real-time session-based recommendation (cold-start capable)
Cross-sell, upsell & bundle recommendation logic
A/B testing framework with revenue-weighted optimisation
Visual Search & Discovery
Computer vision-powered search and discovery that allows customers to find products by image, style attribute, or similarity — dramatically improving discoverability and reducing search abandonment.
Image-based product search & similar item retrieval
Attribute extraction & auto-tagging for catalogue enrichment
Semantic search with natural language query understanding
Shoppable content & social commerce integration
Dynamic Pricing AI
Continuous price optimisation across the full product catalogue — reacting to competitor pricing, demand elasticity, inventory levels, and margin targets to maximise revenue without sacrificing volume.
Real-time competitor price monitoring across channels
Demand elasticity modelling per SKU & category
Markdown optimisation & end-of-season clearance AI
Margin floor guardrails & pricing rule governance
Customer Segmentation AI
Advanced customer analytics that identifies high-value segments, predicts churn, calculates lifetime value, and enables precise targeting of acquisition, retention, and win-back campaigns.
RFM & behavioural segmentation with real-time scoring
Customer lifetime value prediction & tier classification
Churn propensity modelling & early intervention triggers
Lookalike audience generation for paid media targeting
Returns Prediction & Prevention
Predictive models that identify high return-risk orders at the point of purchase — enabling size guidance, product clarity interventions, and fulfilment routing that reduce return rates and protect margin.
Order-level return probability scoring at checkout
Size & fit recommendation with return-rate feedback loop
Product page gap analysis (images, descriptions, reviews)
Returns cost attribution & category profitability reporting
Use Cases
Real Results from Retail & Commerce AI
How retailers and e-commerce brands used our AI to recover abandoned revenue, optimise inventory, increase basket value, and reduce return costs.
01Case Study
31%Revenue from Recommendations
RecommendationsPersonalisationE-Commerce
AI Recommendation Engine Revenue Lift
The Challenge
A mid-market fashion e-tailer with 2.4M active customers relying on manually curated bestseller lists for homepage and email merchandising — generating click-through rates of 1.2% and below-average conversion.
The Outcome
Personalised recommendation engine deployed across homepage, PDP, cart, and email touchpoints. Revenue attributable to recommendations increased 31%. Average order value up 18%. Email click-through rates increased from 1.2% to 4.7%.
02Case Study
18%Inventory Cost Reduction
Demand ForecastingInventorySupply Chain
Demand Forecasting & Inventory Optimisation
The Challenge
A multi-category retailer with 48,000 active SKUs carrying £22M in excess inventory and experiencing 340 weekly stockout events — both driven by statistical forecasting models that could not account for external demand signals.
The Outcome
ML demand forecasting reduced forecast error (MAPE) from 34% to 11%. Inventory holding value reduced by £4.1M (18%). Stockout frequency fell 62%. Working capital freed for investment in growth categories.
03Case Study
4.2xCart Recovery Rate Improvement
Cart AbandonmentCRMRevenue Recovery
Abandoned Cart Recovery System
The Challenge
A home furnishings e-commerce brand with 73% cart abandonment and a single generic recovery email generating 2.1% recovery rate — leaving an estimated £6.8M in recoverable annual revenue unclaimed.
The Outcome
Multi-signal abandonment system using browse history, cart value, and session behaviour deployed personalised sequences across email, SMS, and push. Recovery rate increased from 2.1% to 8.9%. Incremental revenue of £2.9M in the first 12 months.
04Case Study
62%Return Cost Reduction per Order
Returns ReductionSize AIApparel
Returns Prediction & Size Guidance
The Challenge
A DTC apparel brand with a 38% return rate — 23 points above category average — driven by sizing uncertainty. Reverse logistics and reprocessing costs were consuming 58% of gross margin on returned items.
The Outcome
Return probability model and personalised size recommendation engine reduced return rate from 38% to 24% within 8 months. Annual reverse logistics cost reduced by £1.6M. Customer satisfaction scores improved 14 points with faster delivery due to fewer split shipments.
Proven Impact
The Numbers Behind Retail & Commerce AI
Measurable revenue, inventory, and margin outcomes from AI deployments across retail, e-commerce, and omnichannel brands.
Top Result
31%
Recommendation Revenue LiftAcross personalised e-commerce touchpoints
18%
Inventory Cost ReductionVia ML demand forecasting on 48,000 SKUs
4.2x
Cart Recovery ImprovementWith personalised multi-channel sequences
62%
Return Cost ReductionVia predictive size guidance and risk scoring
Ready to Transform Retail & Commerce with AI?
Book a free 45-minute AI discovery session with one of our retail & commerce AI specialists.
Client Stories
Built With Trust. Proven in Production.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
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