Sold by: Xenoss
We design, build, and scale end-to-end retail media technology platforms that empower retailers and brands to maximize ad revenue, optimize campaign performance, and deliver personalized shopper experiences across digital and onsite channels. Our modular solutions encompass forecasting and dynamic pricing engines, native sponsored product ad systems, self-service campaign portals, real-time bidding infrastructure, advanced audience segmentation, and robust attribution platforms.
Overview
Retailers face mounting challenges in retail media: forecasting inventory, dynamically pricing ad placements, personalizing creatives, and attributing campaigns to real-world sales outcomes. These gaps often cause revenue leakage, inefficient media spend, and missed growth opportunities.
Our comprehensive retail media solutions address these challenges through an integrated technology suite that spans the entire media lifecycle.
Inventory & Pricing Optimization: Machine learning–driven forecasting and dynamic pricing engines maximize yield and adapt pricing strategies in real time. Native Sponsored Ads: Retailer-specific sponsored product engines monetize high-intent shopper traffic seamlessly, without disrupting user experience. Self-Service Portals: Intuitive UIs empower brands to plan, book, and optimize campaigns independently—improving scalability and operational efficiency. Low-Latency RTB Infrastructure: Product-level targeting and business-logic–aware real-time bidding ensure efficiency and performance at scale. AI-Powered Targeting: Advanced segmentation, lookalike modeling, and audience enrichment deliver precise, privacy-compliant targeting. Dynamic Creative Optimization (DCO): Retail-specific personalization engines generate real-time creatives that boost engagement and ROAS. Closed-Loop Attribution: Unified measurement ties ad impressions directly to online and offline retail outcomes at the SKU level—building advertiser trust with transparent ROI. Retail Data Clean Rooms: Privacy-safe data collaboration between retailers and brands unlocks joint insights while ensuring compliance. Product Feed Enrichment: Automated normalization pipelines deliver clean, enriched product data for faster time-to-market and reduced manual overhead.
Together, these interconnected modules create a future-proof retail media ecosystem that maximizes revenue, enhances shopper experiences, streamlines operations, and strengthens competitive advantage.
Technology stack (AWS-native, extensible):
Compute & Networking: EC2, Lambda, VPC Data & Processing: DynamoDB, S3, Redshift, Kinesis, Glue AI/ML: SageMaker, Personalize, Forecast, Rekognition Integration: API Gateway, SQS/SNS Ops & Security: CloudWatch, IAM, CodePipeline
Highlights
- Maximized Revenue: Dynamic pricing and forecasting engines optimize inventory yield and CPMs, driving higher monetization across retail media networks.
- Real-Time Campaign Control: Self-service portals and native ad engines enable brands to manage and personalize campaigns with instant feedback and reporting.
- Seamless RTB Infrastructure: Low-latency, scalable bidding platforms handle retail-specific business logic to improve auction win rates and ad delivery quality.
Details
Sold by
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.