Global technology enterprise InMobi Advertising launched a conversational AI agent designed specifically for media buyers on its self-serve deal platform, Buyer Hub. Powered by InMobi’s proprietary unified intelligence layer, the tool assists agency traders and demand-side platforms (DSPs) in discovering inventory, structuring programmatic deals, and optimizing campaign performance using natural language prompts.
Alongside the AI agent launch, InMobi expanded Buyer Hub access to agencies and managed-service DSPs. The updated suite introduces self-serve reporting, role-based access controls, inventory discovery, and real-time deal forecasting directly into the trading desk environment. By combining supply-side context with conversational AI guidance, the release bridges the gap between manual programmatic execution and autonomous campaign management.
“Agencies have been asking us for direct, self-serve access to InMobi supply since we opened Buyer Hub to curators last year, and this is our answer,” stated Kunal Nagpal, Chief Business Officer of InMobi Advertising. “We built the agent so a trader doesn’t have to choose between speed and control. It recommends the curation and optimization moves, and the trader still makes the call. That’s the model we think holds up as agentic advertising matures, on both the supply side and the demand side.”
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Technical Orchestration: Blending Natural Language Interfaces with Programmatic Trading
Programmatic media buying often presents complex operational friction. Agency traders spend significant hours manually querying supply-side platforms (SSPs), requesting custom deal IDs, negotiating inventory packages, and building reporting spreadsheets across disparate dashboards.
InMobi’s conversational agent resolves these operational bottlenecks by integrating natural language processing into live supply-side inventory:
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Natural Language Inventory Discovery: Media buyers can query complex parameters—such as target audience demographics, high-attention CTV formats, or mobile in-app placements—to identify optimal ad inventory instantly without manual filtration.
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Contextual Campaign Optimization: Inside the Buyer Hub interface, the AI agent continuously analyzes campaign telemetry, recommending bid adjustments and curation changes while keeping human traders in direct control of final execution.
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Real-Time Deal Forecasting: A persistent side panel surfaces live availability estimates during campaign configuration, allowing traders to project scale and set up programmatic deals with confidence before committing budget.
Strategic Impact on the Media Buying & Advertising Industry
Introducing conversational AI agents directly into programmatic supply platforms fundamentally transforms commercial operations for media agencies, brand advertisers, and programmatic trading desks across three key areas:
1. Accelerating Campaign Deployment and Operational Speed
Traditional programmatic deal curation requires extensive back-and-forth communication between agency buyers and publisher sales teams. Transitioning to conversational inventory discovery condenses multi-day deal negotiation setups into real-time, self-serve interactions. Agency traders can build, forecast, and deploy targeted deals in minutes, significantly boosting operational agility and campaign time-to-market.
2. Transitioning Media Buyers from Execution Mechanics to Strategic Curation
Agency trading desks frequently lose valuable strategist hours to manual platform management, tag verification, and reporting extraction. Delegating administrative setup, inventory matching, and diagnostics to conversational AI elevates the role of the media buyer. Traders shift from performing tactical data entry to acting as strategic curators—focusing on creative alignment, audience expansion, and holistic media strategy.
3. Democratizing Direct Supply-Side Access for Mid-Market Agencies
Historically, securing bespoke inventory curation and direct support from major supply platforms required massive spending commitments or managed-service retainers. Opening self-serve access backed by conversational AI tools levels the playing field. Independent agencies and mid-market DSPs can independently access premium mobile and connected TV (CTV) inventory with the same operational efficiency as global agency holding companies.
Overall Effects on Businesses Operating in the AdTech & Media Sector
The shift toward agent-assisted media buying establishes broader operational standards across digital advertising:
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Rise of “Human-in-the-Loop” Agentic Frameworks: The adtech industry is moving away from black-box automation toward guided agentic execution. Supply- and demand-side platforms will increasingly deploy AI agents that recommend data-driven moves while preserving human oversight to ensure brand safety and budget control.
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Convergence of Supply-Side and Demand-Side Intelligence: Direct native connections between buying agents and supply-side data layers reduce reliance on intermediary platforms. This streamlined connectivity reduces tech fee tax across the programmatic supply chain, ensuring more ad spend reaches working media.
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Redefining Agency Productivity Metrics: Success for agency trading teams will no longer be measured by the raw volume of manual campaigns executed per trader, but by campaign performance yield, curation quality, and the speed with which strategies adapt to market signals.
InMobi Advertising’s launch of its conversational AI agent on Buyer Hub marks a practical evolution in programmatic media buying. By combining conversational discovery with granular deal controls, the platform addresses the speed and complexity challenges that have long fragmented supply-side activation. For the broader media buying industry, this deployment demonstrates that the future of programmatic advertising relies on pairing intelligent automation with human strategy—enabling brands and agencies to execute data-driven campaigns with higher precision, lower friction, and greater capital efficiency.