Campaign performance analysis
AI aggregates portal data and calculates ROMI by campaign, category, and SKU.
Solutions · Retail Media
AI Retail Media Management
Analyze the performance of marketplace placements and get recommendations for budget and bid optimization.
Campaign analysis bid optimization cross-marketplace summary
SourcePIM · DAM
SourceERP · OMS
SourceMarketplace API
SourceReviews · CRM
AgentContent
AgentDigital Shelf
AgentReviews
AgentPricing
AgentSupport
AgentMarketplaces
Human-in-the-loop · governance
OutputListings & content
OutputReports · alerts
OutputActions · responses
Challenges it solves
- Manual campaign management across dozens of marketplaces.
- Opaque ROI and fragmented reporting.
- Reactive budget and bid optimization.
- No unified view of retail media performance.
What AI does
Bid and budget recommendations
Reallocation scenarios with projected impact.
Cross-marketplace summary
A unified picture across all platforms with prioritization.
Budget and metric alerts
AI catches sharp deviations and signals them in time.
How it fits into your processes
Inputs
Marketplace ads API
ERP · OMS
AI agents
AI Retail Media Manager
Bid optimizer
Human-in-the-loop
Marketing manager
Outputs
Settings application
BI · reports
Integrations
Systems it integrates with
Systems the solution connects to on the client side.
Layer 01 Connections
Marketplace ads APIBIERP
Workflow
Sample workflow
- 01Campaign data collection
AI collects portal data from all marketplaces and normalizes metrics.
AI - 02Performance analysis
ROMI by campaign, category, and SKU. Anomaly detection and growth opportunity identification.
AI - 03Recommendations
Budget and bid reallocation scenarios with projected impact.
AI - 04Marketing manager decision
Selects a scenario or makes adjustments, confirms application.
Human - 05Application and monitoring
Settings are applied; AI monitors the impact and alerts on deviations.
AI
Impact metrics
Increase in visibility and campaign ROMI
No invented percentages; impact described without specific figures.
Reduction in manual campaign management
No invented percentages; impact described without specific figures.
Improved budget manageability
No invented percentages; impact described without specific figures.
Related 24TTL Products
Technology Foundation of the Solution
Our own products help collect data faster, manage content, and embed AI into eCommerce workflows. In integration projects they are used as ready-made modules or customised to specific requirements.
24TTL Case Studies
Completed AI Projects
Examples of AI implementations in digital shelf, content, and catalogue.
International FMCG Manufacturer
AI SEO Optimization for Product Listings
Generative AI rebuilds SEO content and visuals for product listings: copy, hero images, and rich content tuned to marketplace algorithms — all in a single pipeline.
Impact Measurable improvement in listing SEO index and a significant acceleration of SKU launch
Sports Goods Retailer
AI Lifestyle Video Pipeline
An AI pipeline assembles lifestyle videos from product photos: decomposition into short artifact-free segments, parallel generation, human in the loop.
Impact Significant reduction in per-listing cost; video produced in tens of minutes instead of days
Major Fashion Marketplace
AI Size Chart Verification
A browser agent cross-checks size charts in product listings against official brand websites: auto-search, Vision-based table extraction, and size system normalization.
Impact Hundreds of thousands of SKUs verified, high auto-verification accuracy
No cases match the selected filters.