ShelfRadar.ai Debuts AI Ad Copilot to Boost Quick-Commerce ROI
ShelfRadar.ai launches an AI-driven ad copilot for quick-commerce platforms, optimizing targeting, budgets, and creative recommendations to maximize campaign performance.
Prakhar
Introducing the AI-Driven Ad Copilot
At the Happy Llama AI conference in Bangalore, Punt Partners unveiled ShelfRadar.ai—an AI ad copilot tailored for quick-commerce brands on platforms like Swiggy and Zepto. It promises to streamline campaign planning by analysing product availability, competitive pricing, and real-time demand signals.
How the Copilot Works
ShelfRadar.ai ingests live SKU data, ad spend, and regional performance metrics—using machine learning to:
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Identify High-Value Segments: Pinpoint zip codes and demographics with unmet demand.
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Calibrate Budgets: Allocate daily spend across hyperlocal markets for optimal reach.
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Recommend Creative Variants: Suggest ad copy and visuals that resonate with performance signals
Early Success Stories
Beta testers report a 20% uplift in ROAS and 30% reduction in wasted impressions—thanks to ShelfRadar’s dynamic bidding adjustments and creative A/B testing suggestions
Empowering Marketers
“As quick-commerce grows more competitive, data-driven ad decisions become critical,” says Madhu Sudhan, co-founder of Punt Partners. “ShelfRadar.ai transitions marketers from tactical to strategic roles, freeing them to focus on high-impact planning”
Future Roadmap
ShelfRadar.ai plans to integrate social commerce insights and voice-search analytics—further enriching its copilot capabilities across emerging quick-commerce channels.
