
Driving Revenue, Retention & Real-Time Customer Value
Retailers today face rising costs, shrinking loyalty, and fragmented buying channels. Shoppers expect instant, hyper-personalised engagement everywhere, while data remains scattered and underutilised. AI-driven, real-time intelligence is key to closing this gap.
Facing the Future by Fixing the Fundamentals
Transformation Focus Areas
Accelerating Financial Innovation with Purposeful AI
Predictive Customer Intelligence
Build dynamic personas, forecast churn risk, and predict buying intent with 90%+ accuracy.
Hyper-Personalised Campaigns
Trigger real-time offers and recommendations across all channels to maximise engagement.
Embedded Retail Intelligence
Enable POS, CRM, and marketing teams to access predictive insights directly within their tools
Lifecycle Value Prediction
Identify at-risk and high-value customers, predict LTV, and refine retention strategies.
Driving Measurable Outcomes Across BFSI
IMPACT AREA
- Purchase Prediction Accuracy
- Customer Retention Gains
- Marketing Campaign ROI
- Segmentation Efficiency
- Financial Growth Impact
Improvement

Purchase Prediction Accuracy
Boosted prediction accuracy from ~65% to 90–94% using behavioural AI for real-time decisions.

Customer Retention Gains
Achieved up to 40% higher retention by switching from generic messaging to AI-powered personalisation.

Marketing Campaign ROI
Generated 3–5x campaign returns by using micro-targeting and real-time customer signals.

Segmentation Efficiency
Reduced segmentation time by 70% through live persona generation and automated customer scoring.

Financial Growth Impact
Delivered $25M–$50M in annual revenue uplift per enterprise retailer via improved retention and engagement.
Why Now?
As of 2025, brands failing to activate real-time omnichannel data risk falling behind AI-led competitors. LLMs, predictive AI, and customer graphs have become core infrastructure—not just innovation. Winning in retail now means operationalising AI across every touchpoint
Lets Work Together