O que é Prime AI?

Persistent Device ID & Risk Signals

Prime AI’s Persistent Device ID & Risk Signals API helps digital platforms recognise returning devices and suspicious sessions, even when users clear cookies, browse in incognito mode or change account details. The API can detect signals such as:

• Returning devices and device confidence
• Private browsing / incognito indicators
• VPN usage and data-centre IP indicators
• Automation and bot indicators
• Developer tools activity
• Browser tampering
• Timezone and session inconsistencies
• Suspicious device or session patterns

These signals can support risk-control use cases such as fraud prevention, duplicate-account detection, promo abuse, refund and policy abuse, suspicious checkout behaviour and account security. Prime AI does not position device intelligence as an advertising identity layer. It is designed as a purpose-bound risk and abuse-prevention signal that can be used where businesses have a legitimate need to protect their platform, merchants or customers.

Refund and Policy Abuse Prevention

Retailers, marketplaces and digital platforms increasingly face a gap between what appears to be a normal customer action and what later becomes operational cost. A shopper may appear to be an anonymous first-time buyer at the account or email level, but device-level and behavioural signals may reveal repeated patterns that suggest refund abuse, policy abuse or repeated suspicious behaviour.

Prime AI helps businesses combine order, session, device and behavioural signals to better understand whether an order or user action is likely to become profitable revenue or future operational cost. This can support use cases such as:

• Serial refund behaviour
• Repeat abuse across different emails or accounts
• Suspicious first-time shoppers who may not actually be first-time shoppers
• Policy abuse and excessive returns
• Duplicate accounts
• Suspicious checkout or post-purchase behaviour

AI Size and Fit Recommendation

Prime AI began by applying machine learning to one of fashion retail’s most difficult problems: size and fit. Our size recommendation technology helps retailers reduce avoidable returns by providing shoppers with better fit guidance and helping brands understand size-related purchase and return patterns.

Prime AI has developed AI powered solutions for:

• Clothing size recommendation
• Bra size recommendation
• Shoe size recommendation
• Fit-related return reduction
• Product and size-level insights

This retail experience remains an important part of Prime AI’s history and product portfolio.

Custom AI & Machine Learning Development

Prime AI also works with businesses that need bespoke AI and machine learning systems. Our team can support projects involving:

• Predictive modelling
• Classification and scoring systems
• Visual search and computer vision
• Optimisation models
• Anomaly detection
• Recommendation systems
• Risk and behaviour analysis
• Custom API development

We focus on practical AI systems that solve measurable business problems rather than experimental technology without a clear commercial purpose.