Personalised Product Recommendations
Real-time 1:1 recommendations across web, app and email driven by unified customer behaviour.
Every AI use case is powered by data. Browse the domains Xfuze unifies — what they contain, where they come from, and the AI use cases each one unlocks.
Unified golden record of every known shopper across channels, identities and households.
Real-time 1:1 recommendations across web, app and email driven by unified customer behaviour.
Predict at-risk customers and trigger retention journeys with next-best offers.
AI agent handles order, returns and product Qs end-to-end with human handoff.
Guided discovery, outfit building and gift finder powered by product knowledge graph.
Generate, A/B test and localise creative across channels with brand-safe guardrails.
Cluster stores and recommend assortment by attribute, trend and local demand.
Decision agent picks the best offer, channel and moment for each customer in real time.
Predict members likely to move tiers and trigger personalised nudges and challenges.
Score returns and refunds for fraud risk; route high-risk cases for manual review.
Cluster review themes, surface pros/cons on PDPs and feed signals back to merchandising.
Continuously screen counterparties and transactions; assemble case files for review.
Unify reviews, surveys, chats and social into themed insights with owners and actions.
Cluster stores by demand DNA to optimise format, range and capex decisions.
Generate per-customer subject lines, hero products and send-time at scale.
Generative video host runs always-on live shopping streams with personalised offers and Q&A.
Decision agent re-engages lapsed customers with optimal cadence, channel and incentive depth.
Causal model isolates true promo uplift and recommends mechanic, depth and audience per offer.
Real-time fraud scoring on checkout with adaptive 3DS step-up to balance friction and loss.
Predicts intent and value to route contacts to the right skill, channel or self-serve flow.
Daily AI briefing surfaces local actions — top opportunities, risks and recommended interventions.
Mobile copilot that answers product, stock and policy questions on the shop floor, with cited sources.
Real-time suggested replies, next-best-actions and policy lookup for service agents on every call.
Generates on-brand copy, subject lines and creative variants across channels with guardrails.
Customer-facing chat handles order status, returns, product Q&A and store info with safe deflection.
Conversational stylist that builds baskets, suggests outfits and upsells across the catalog with live stock awareness.
Whispers next-best products, recent purchases and personalised talking points to associates serving high-value customers.
WhatsApp, SMS and social messaging assistant that takes orders, books appointments and recovers carts.
Members-only chat that answers points, perks and personalised offer questions with tier-aware actions.
Summarises cases, links related events and drafts SAR narratives so analysts close fraud cases faster.
Launches hyper-personalised campaigns by identifying micro-segments from de-duplicated Single Customer Views and pushing tailored offers directly into marketing tools — shifting from passive analysis to proactive, revenue-driving engagement.
Evolves customer support from a chatbot into an autonomous resolution engine that uses Xfuze's clean data lakehouse to diagnose issues and propose fixes like refunds or reshipments directly, feeding new interaction data back into the Xfuze ecosystem.
Autonomous data quality and observability agent that proactively monitors, fixes and tickets anomalies via Xfuze's Jira/Halo integrations and MDM capabilities — turning data quality into a self-healing ecosystem that generates its own improvement insights.
Real-time scoring blocks high-risk orders and returns while approving good customers instantly.
Detects lapsing customers and runs personalised, multi-step win-back journeys autonomously.
Continuously chooses next-best-offer and channel per member to maximise loyalty value.
Identifies the touchpoints, products and journeys most predictive of NPS movement so CX teams can prioritise fixes.
Scores every interaction for friction across web, app, store and service — surfacing journeys to simplify.
Detects at-risk customers post-incident and orchestrates apology, refund and follow-up actions within policy.
Autonomously resolves missing-item, damaged and delayed-order cases end-to-end with refunds and reships.
Lets ops leaders interrogate cost-to-serve by channel, region and customer cohort to find profitable trade-offs.
Real-time contextual bandit choosing the next offer, message or content for each customer across web, app and CRM.
Recommends sizes from body measurements, past purchases and returns to cut size-related returns.
Autonomously triggers personalised recovery flows across email, SMS and onsite based on intent and inventory.
Mines reviews, calls and chats to surface emerging product issues, sentiment shifts and CX themes in near real time.
Real-time copilot that drafts replies, surfaces policy and summarises calls for service agents.