Ontology-Powered Customer Data Platform
Built for retailers who want to turn customer and retail data into AI-powered actions that drive revenue.
Priorise builds the data foundation for AI in retail — unifying customer, product, and transaction data into a business-ready semantic layer that enables smarter decisions, automation, and growth.
The Problem
Most retailers have invested in CDPs, data warehouses, and integrations. Yet AI initiatives struggle because the data lacks the business context needed to generate meaningful recommendations.
Customer, product, transaction, loyalty, and campaign data may be integrated, but relationships between them are not clearly defined — making AI blind to business meaning.
Without a common business layer, AI models see disconnected records instead of customer journeys, product affinities, purchase behaviour, and business intent.
Teams generate reports and dashboards, but translating insights into next-best actions remains slow, manual, and dependent on analyst bandwidth.
"Retail data may be integrated, but it is not AI-ready."
The Priorise Approach
Pre-wired retail relationships understood out of the box. No custom data modelling. No months of setup.
Stitch customer identities across channels, devices, and touchpoints.
Map product affinities and buying patterns at the individual level.
Single customer view across POS, e-commerce, loyalty, and app.
Real-time behavioural signals that activate intelligent responses.
Platform Capabilities
Stitch every touchpoint — online, in-store, loyalty, returns — into one resolved identity per customer. Know your customer across all channels.
AI agents build, refine, and refresh segments automatically — no SQL, no data teams. Describe who you want to target in plain language.
Churn risk, upsell propensity, reactivation likelihood — scored daily at individual customer level. Know who needs attention before they leave.
Push audiences directly to your CRM, email, WhatsApp, or paid media — no exports, no engineers. Activate in minutes, not days.
Use Cases
Why Priorise?
400+ retail entities, relationships, and inference rules — modelled from the ground up for retail. Customer, product, transaction, loyalty, store, and moment logic built-in from day one.
No custom modellingAI agents that build audiences, trigger campaigns, and surface next-best-actions — without needing ML engineers in the loop. Built for the business team, not the data team.
No data science team requiredPre-built connectors for major retail systems — POS, e-commerce, loyalty, CRM, and data warehouses. Deploy against your existing stack without rip-and-replace.
Works with your existing stackPriorise doesn't just unify data — it makes it actionable. Move from reports to AI-recommended next actions that your team can activate in hours, not weeks.
Revenue-driven AIGet Started
We're onboarding early retail partners. Get in touch to be first in line when demos open.
Get in touch: hello@priorise.ai