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Agentic AI · Sell
Personalised Offer Agent
Autonomous agents that perceive, decide and act across systems — executing multi-step workflows end-to-end.
High impactIdentified
Business objective
Grow conversion, basket size and price realisation across channels.
Value
Material P&L impact — typically 6–8 figure annual value at retail scale.
Who uses it
SalesEcommerceStore OperationsPricing
Business outcomes
- Always-on execution across systems
- Lower unit cost of routine work
- Faster cycle time and SLA adherence
How it works — workflow
Typical agentic ai loop powering this use case.
Step 1
Perceive event
Step 2
Plan multi-step action
Step 3
Execute across systems
Step 4
Human-in-loop for exceptions
Step 5
Measure & self-correct
Data required
- • Live event streams
- • Operational thresholds & rules
- • System APIs for action
- • Outcome telemetry for learning
- • Guardrails & audit logs
Connected systems
- • POS / mPOS
- • Ecommerce platform
- • Pricing engine
- • CMS / PIM
- • Loss-prevention CCTV/CV
Business processes
- • In-store operations & checkout
- • Ecommerce merchandising
- • Pricing & promotions
- • Loss prevention
- • Colleague enablement on the floor
What's required to be successful
- Reliable, real-time integrations
- Decisioning + guardrails
- Action APIs across systems
- Observability & audit
- Reversibility / human-in-loop
Underpinned by the Xfuze Foundation — see the five pillars.
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