Osmos

AI-driven platform for retail media monetization.

Freemium
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Web, API
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Data & AnalyticsAI Tools for AdvertisingProductivity

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What is Osmos?

Osmos is an AI-driven platform designed to help retailers and e-commerce businesses monetise their owned media inventory through advertising. The platform uses machine learning to optimise ad placement, targeting, and pricing across product pages, search results, and other publisher-owned channels, allowing retailers to generate additional revenue from existing website traffic. It automates the technical complexity of running an ad network: managing advertiser demand, optimising inventory allocation, and adjusting pricing to maximise fill rates and revenue. The platform serves retailers of all sizes, from independent sellers to larger e-commerce operations. Its freemium pricing makes it accessible for businesses starting their retail media programmes, with paid tiers offering advanced optimisation and advertiser features. Osmos provides real-time analytics so publishers can track ad performance, understand which inventory slots generate the highest revenue, and optimise their strategy accordingly.

Key features

AI-powered ad targeting

Machine learning algorithms match ads to relevant shoppers based on behaviour and intent

Self-serve advertiser portal

Advertisers can create, manage, and monitor campaigns without publisher involvement

Dynamic price optimisation

AI adjusts ad pricing based on demand, inventory scarcity, and performance data

Real-time analytics

Track impressions, clicks, conversions, and revenue metrics across campaigns

Multiple ad formats

Support for display ads, sponsored product listings, native ads, and other advertising formats

Inventory management

Organise and allocate available ad slots across different placements and pages

Demand aggregation

Connect with multiple advertisers and automatically match them to relevant inventory slots

Pros & cons

Advantages

Generates additional revenue from existing website traffic without major infrastructure changes
Freemium model lets smaller businesses test retail media without upfront investment
AI automation reduces manual work in ad management, targeting, and price optimisation
Real-time analytics provide actionable insights to improve revenue per impression
Works with existing e-commerce platforms without requiring complete system rebuilds
Handles both supply and demand sides, simplifying operations for publishers

Limitations

Requires sufficient traffic and inventory to make an advertising programme worthwhile
Success depends on attracting quality advertisers, which takes time and marketing effort
Faces competition from established retail media networks with larger advertiser bases
May need technical integration work depending on existing website or app architecture
Revenue potential varies significantly based on audience relevance to advertisers
Publisher policies and compliance requirements can limit which advertisers you accept