Retail Solutions
Helping retailers make faster, more confident decisions with data and AI
Retail decisions are made daily, under pressure, often with incomplete information. We help retailers use data and AI to make those decisions faster, with confidence, and at scale - from trading and promotions to customer engagement and long-term growth..
Transform Retail Experiences with Omnichannel Intelligence
Understanding the key challenges facing modern retailers in today's fast-paced environment.
Leading retail brands are enhancing customer experiences through our modular approach.
Retail is one of the most demanding data environments. Thin margins, complex operations and rapidly changing customer behaviour mean insight is only valuable if it can be acted on, quickly and consistently.
We work with retailers to cut through complexity, align teams around what matters most, and embed data and AI into day-to-day retail decision-making.
We deliver personalisation engines and supply chain optimisation through our six proven modules, tailored specifically for retail challenges.
Waitrose achieved 5% sales increase through agile market insights
Delivered through sprint-based methodology in 4 weeks
Challenges in
Retail
Retail leaders typically come to us when they recognise familiar tensions:
Availability gaps and excess stock
Poor forecasting and disconnected planning lead to empty shelves in some places and excess stock in others. The result is lost sales, tied-up working capital and margin pressure across the estate.
Marketing that doesn’t change behaviour
Campaigns are often broad and poorly targeted, driven by limited customer understanding. Without clear segmentation and missions, promotional spend fails to influence real shopping decisions.
Loyalty and CRM stuck in silos
Customer data is fragmented across systems, channels and teams. This prevents loyalty programmes and CRM from delivering meaningful, joined-up customer experiences at scale.
AI trapped in pilots
Many retailers experiment with AI but struggle to embed it into day-to-day trading and operations. Without the right data, metrics and ownership, pilots fail to deliver sustained business impact.
How we help
Retailers
We support retailers at every stage of maturity, from establishing a trusted view of performance to scaling advanced customer analytics and AI across the organisation. Our work with retailers typically focuses on four areas.
Clarifying performance and priorities
Retail organisations move faster when everyone is working from the same numbers.
We help retailers align trading, customer and financial metrics to create a single, trusted view of performance, enabling quicker decisions and clearer accountability across teams.
Understanding customers and shopping behaviour
Customer insight only creates value when it shapes commercial decisions.
We apply proven behavioural segmentation and mission-based analysis to help retailers understand how customers actually shop and translate that insight directly into range, pricing, promotions and loyalty strategies.
Delivering value at retail pace
Retail doesn’t have time for long programmes that take months to show impact.
We design and deliver focused analytics and insight modules that generate quick wins, build momentum and prove the value of data-led decision-making within existing trading rhythms.
Scaling analytics and AI responsibly
As retailers mature, the challenge shifts from insight generation to consistency and scale.
We help retailers identify practical, retail-ready AI use cases and put the governance, data foundations and operating models in place to deploy them safely and effectively.
Data Vision & Strategy Accelerator
Create alignment on what matters most, so retail leaders can prioritise investment and move forward with confidence. This module establishes a clear, practical data vision and roadmap grounded in real trading, customer and operational decisions.
Key Deliverables:
Retail data vision
Customer journey mapping
Quick-win recommendations
Data Environment & Architecture Review
Understand whether your current data environment is enabling or constraining retail performance. We assess architecture, integration and governance through the lens of availability, customer insight and future AI scalability, highlighting where change is genuinely required, and where it is not.
Key Deliverables:
Architecture assessment
POS integration plan
Data governance framework
Customer Insight Sprint
Rapidly generate customer insight that informs real commercial decisions. Using proven segmentation and behavioural frameworks refined in retail environments, this module helps teams move from data to action, fast.
Key Deliverables:
Customer segments
Shopping personas
Campaign recommendations
Commercial Insights Accelerator
Identify where customer, product and operational data can unlock new commercial value. This module focuses on realistic monetisation opportunities grounded in customer behaviour and market demand, not speculative data products.
Key Deliverables:
Revenue opportunity dashboard
Sentiment analysis
Product optimization plan
AI Planning & Implementation Playbook
Move from AI ambition to practical execution. This module helps retailers prioritise AI use cases that genuinely improve pricing, forecasting and availability decisions, supported by clear implementation roadmaps and governance.
Key Deliverables:
AI roadmap
Pilot implementations
ROI projections
Agentic AI Enablement
Assess where autonomous AI agents can safely and effectively take on decision-making and operational tasks. We help retailers identify capabilities, risks and governance requirements before deploying agents at scale.
Key Deliverables:
AI agent framework
Automation roadmap
Implementation guide
Success Stories
Our retail work spans grocery, fashion and general merchandise environments, supporting organisations with multi-store estates, omni-channel operations and complex supplier ecosystems. Across these engagements, we consistently see value unlocked when customer, trading and operational data are brought together around common decisions, rather than isolated dashboards or disconnected initiatives.