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AI Product Recommendation Engine for Retail

Deliver relevant product suggestions across web, mobile and assisted selling while retaining human control and measurable safeguards.

🇺🇸 USA🇬🇧 UK🇪🇺 EU🇦🇺 Australia
Retail Solution ConsoleLIVE
Locations12
Workflow health98%
Open actions24
Key benefits

Designed for measurable retail improvement

Increase basket relevance

Configured around your retail workflows, users, data and measurable outcomes.

Support cross-selling

Configured around your retail workflows, users, data and measurable outcomes.

Personalise discovery

Configured around your retail workflows, users, data and measurable outcomes.

Measure recommendation impact

Configured around your retail workflows, users, data and measurable outcomes.

How it works

From discovery to controlled improvement

1ConnectAuthorised data and workflows
2ValidateRules, quality and permissions
3OperateTeams use governed processes
4ImproveMeasure outcomes and refine
Features

Capabilities configured around your operation

Behaviour-based recommendations

Secure, configurable capability with role-based access, reporting and auditability.

Similar-product matching

Secure, configurable capability with role-based access, reporting and auditability.

Next-best-offer scoring

Secure, configurable capability with role-based access, reporting and auditability.

Merchandising controls

Secure, configurable capability with role-based access, reporting and auditability.

A/B testing support

Secure, configurable capability with role-based access, reporting and auditability.

Performance dashboards

Secure, configurable capability with role-based access, reporting and auditability.

Integrations

Connect the systems you already rely on

E-commercePOSCRMProduct catalogAnalyticsEmail
Product interface

Clear views for faster decisions

Role-based dashboards help authorised teams monitor performance, exceptions and service levels.

  • Operational overview
  • Priority alerts and exceptions
  • Location and trend comparisons
  • Audit history and ownership

Retail performance view

Workflow health98%
Tasks resolved+18%
Data quality96%
Implementation timeline

A phased route to launch

WEEKS 1–2DiscoveryUsers, data and outcomes
WEEKS 3–5BuildConfiguration and integrations
WEEKS 6–8PilotTesting and training
WEEK 9+ScaleRollout and optimisation
Trust by design

Security, privacy and responsible AI

AI outputs require authorised human review, measurable safeguards and monitoring for false or unfair outcomes.

  • Least privilege and MFA options
  • Encryption and audit logs
  • Data minimisation and retention
  • Backups and recovery testing
  • Human approval for sensitive actions
  • Monitoring and controlled change
Indicative investment

Setup and monthly support in USD

Planning estimates only; final pricing depends on users, locations, integrations and migration.

Focused Pilot

$12k–28k

From $700/month support

Enterprise Programme

From $70k

Scoped managed service

Regional availability

Remote delivery across key markets

🇺🇸United States

Remote implementation and support.

🇬🇧United Kingdom

Retail-focused UK delivery.

🇪🇺European Union

Privacy-conscious projects.

🇦🇺Australia

Australian time-zone support.

FAQs

Questions about AI Product Recommendation Engine for Retail

Can we start with a pilot?

Yes. A focused pilot helps validate value, data and workflows before wider rollout.

Can it integrate with our existing systems?

Yes, where authorised APIs, webhooks or secure data exchanges are available.

Can historical data be migrated?

Yes, after profiling, cleansing, mapping and validation.

Does it support multiple stores or regions?

Yes. Access, rules and reporting can be configured by location and responsibility.

How long does implementation take?

A focused pilot commonly takes 6–10 weeks; larger programmes are phased after discovery.

Is training included?

Training can be included for administrators, managers and operational users.

How is data protected?

Controls can include least privilege, MFA, encryption, audit logs, backups and recovery testing.

Can workflows be customised?

Yes. Configuration is agreed during discovery and solution design.

What ongoing support is available?

Support is scoped around coverage hours, response targets and operational criticality.

How do we begin?

Share your goals, current stack, users, locations and target timeline with CYBEX.

Ready to scope your AI Product Recommendation Engine for Retail?

Share your goals, locations, users, current systems and target launch date.

FREE PROJECT REVIEW

Request a detailed quotation

We will review your workflow and recommend a practical starting scope.

Email: [email protected]
WhatsApp: +44 7345 881544