Key Takeaways
• ShelfRadar.ai, launched by Punt Partners, is a new AI-powered ad copilot tailored for quick commerce platforms.
• The tool addresses two core pain points in quick commerce marketing: fragmented budget allocation and regional performance variability.
• Built for performance marketers, the platform offers data-driven insights on spend efficiency, product visibility, and localized targeting.
• Unveiled at the Happy Llama Conference in Bangalore, the launch reflects Punt Partners’ strategic push into AI-led digital cmmerce optimization.
In a significant move to reshape advertising strategies in the quick commerce sector, Punt Partners officially launched ShelfRadar.ai, a machine learning-powered advertising copilot.
The announcement took place at the Happy Llama Conference, a major event showcasing AI-led innovation.
Designed to cater specifically to performance marketers navigating quick commerce platforms, the platform is poised to deliver enhanced decision-making in environments characterized by fast delivery cycles, regional variability, and shifting digital demand.
Addressing Pain Points in Quick Commerce Marketing
Quick commerce platforms operate on razor-thin margins and hyper-localized supply chains. Advertisers in this space often struggle with two key challenges:
• Dispersed budget allocation across multiple ad platforms, with inconsistent returns
• Hyper-local metric variations driven by city-specific behaviors and logistics conditions
• Lack of actionable, real-time visibility into stock levels, product pricing, and opportunity mapping
ShelfRadar.ai is designed to close these operational gaps by leveraging AI-driven analytics that evaluate campaign data in real time, offering marketers targeted recommendations on ad spend, content positioning, and regional engagement.
Core Capabilities: AI Meets Precision Marketing
ShelfRadar.ai integrates performance metrics with predictive modeling to help brands scale campaigns intelligently. Its key functionalities include:
• Spend Optimization – Determines optimal ad spend distribution by platform and location.
• Market Segment Identification – Flags the most responsive consumer clusters by analyzing regional trends.
• Campaign Growth Enablement – Surfaces new ad opportunities and measures visibility impact.
The platform isn’t intended to simply track metrics. Instead, it functions as a strategic extension of marketing teams, streamlining resource allocation and maximizing impact.
“In the fast-growing and rapidly evolving quick commerce space, being data-driven is key to success,” said Madhu Sudhan, Co-founder of Punt Partners. “ShelfRadar helps surface the most promising segments and spending strategies. At Punt, we’re not here to report performance—we’re here to improve it.”
Platform Philosophy: Augmenting Human Insight with AI
Rather than replacing human marketers, ShelfRadar.ai complements them. Its model fuses machine intelligence with performance marketing expertise to drive high-precision campaigns.
“ShelfRadar functions as a strategic partner to performance marketers, blending human insight with machine intelligence to drive campaign growth and precision in a competitive quick commerce environment.”
This hybrid approach reflects Punt Partners’ broader mission—to enable smarter, faster, and more localized marketing execution for digital-first brands.
Company Profile: Punt Partners’ Innovation Trajectory
Founded in September 2022, Punt Partners operates from both Mumbai and Bangalore, focusing on building next-generation tools for digital commerce.
ShelfRadar.ai marks a continuation of the company’s momentum in applying AI to solve real-world business inefficiencies.
By launching at the Happy Llama Conference—a hub for AI startups and venture-driven innovation—Punt positioned ShelfRadar not only as a technology product but as a strategic asset in a fast-scaling ecosystem.
Industry Relevance: Why ShelfRadar Matters Now
As quick commerce evolves into a staple delivery model for groceries, household items, and essentials, the demand for smarter advertising tools becomes critical.
Brands face tighter timelines, aggressive competition, and rising customer expectations. ShelfRadar.ai is tailored to meet these demands with:
• A localized approach to campaign performance, critical in city-by-city delivery models
• Real-time campaign tuning that prevents budget waste in underperforming regions
• Scalable insights that support national and multi-platform advertising strategies
By addressing the precision gap in quick commerce ad execution, ShelfRadar.ai enters the market as a potential benchmark tool for performance teams.
ShelfRadar.ai is expected to first target brands already active on platforms like Blinkit, Swiggy Instamart, Zepto, and Instamart.
While initial deployment is focused on Indian urban centers, its core engine is designed to be geographically extensible, potentially supporting quick commerce expansions in other high-density markets worldwide.
Pricing models, partnerships, and integration pathways are expected to be revealed in the coming quarters, with early access likely being extended to existing clients in Punt’s portfolio.
For more news and insights, visit AI News on our website.
