// Product manager · AI platform builder · B2B SaaS · AdTech & MarTech researcher
Building intelligent products, and the research behind them.
Product manager for AdTech, MarTech and B2B SaaS: six years at Moving Walls, from programmatic DOOH roadmaps and CRM and ERP integrations to AI applications I design, build and deploy myself.
Portfolio introduction
Suraj Prakash
Product manager, AI platform builder and AdTech writer.
(01) — About
From 2020 to 2026 I worked at Moving Walls, a DOOH and programmatic advertising technology company: first as a business analyst on dashboards, client onboarding and an organisation-wide CRM rollout, then, from 2024, as the product manager responsible for its B2B programmatic platform: strategy, roadmap and delivery, on the demand and the supply side.
I'm happiest where the product meets the system underneath it: deal types, budgets, auctions, the CRM and the ledger. I also build. With Claude Code and Replit, daily tools for 18 months, I design, build and deploy AI-powered applications myself, and I've taken two from idea to production without an engineering team.
And I write: twenty independent research papers in 2026 on AdTech, MarTech, OOH, product management and AI, sixteen of them collected in the first edition of Media Intelligence, with the rest on ResearchGate.
Manipal International University, Malaysia · 2019–2020
Sikkim Manipal Institute of Technology · 2013–2017
(02) — What I do
Five areas, one way of working: understand the business problem, then build the product that solves it.
Strategy, roadmap and delivery for a B2B programmatic DOOH platform, on both the demand and the supply side.
Practical, hands-on building: I design, build and deploy AI-powered applications myself with Claude Code and Replit.
Turning complex business requirements into practical software for organisations: CRM, ERP and workflow automation.
Independent research on AdTech, MarTech, OOH and DOOH, and AI, combining product experience with market analysis.
Connecting customer needs, business requirements and technology, including AI, into products that solve real problems.
(03) — Experience
Moving Walls · DOOH and programmatic advertising technology
Strategy, roadmap and delivery for the DOOH programmatic platform serving advertisers across Asia. Led the DSP revamp: order management, auction mechanism and deal types, and the Salesforce and ERP integrations.
Moving Walls · DOOH and programmatic advertising technology
Strategic planning and process optimisation for innovation initiatives across Latin America and Asia, ranked by measurable impact.
Moving Walls · DOOH and programmatic advertising technology
Led the organisation-wide Zoho CRM implementation and designed an employee reward system on XOXO Day.
Moving Walls · DOOH and programmatic advertising technology
End-to-end onboarding for clients in Mexico, Brazil, Colombia, Chile and Asia, with product recommendations drawn from recurring client friction.
Moving Walls · DOOH and programmatic advertising technology
Dashboards in Tableau and AWS QuickSight for retail decision-making and performance tracking.
PolicyBazaar.com · Financial services
Consultative financial-product sales: customer needs analysis and solution selling.
(04) — Selected projects
Built soloShipped, with two follow-on modules
Replaced a long-running manual reporting cycle with AI-generated daily productivity and KRA-progress reporting, drawn directly from task and time data.
Team productMoving Walls
A full revamp of the demand-side platform across six product modules, covering how inventory, budgets and pricing behave on both the demand and supply sides.
Built soloShipped to production
A self-serve platform that shows external customers real-time billboard availability, pricing and format, and lets them request inventory without waiting on a sales cycle.
Team productMoving Walls
End-to-end roadmap for an enterprise DOOH programmatic platform serving advertisers across Asia, with discovery built into the process before engineering starts.
Team productMoving Walls
Connected the platform to Salesforce and to Zoho Books and NetSuite so invoices generate automatically and payment status is visible end to end.
(05) — Research
Independent papers on the structure of the advertising technology market, written through 2026, plus product management and AI. Facts, interpretation and outlook are kept visibly apart.
Attention, Causality, and Optimization in Out-of-Home Advertising Measurement
Asks which organisations can show that OOH exposure caused incremental impact, and turn that evidence into the next media decision. The paper extends the measurement chain from three stages to seven and finds that none of the eight organisations assessed documents all of them.
The Repositioning of the Demand-Side Platform Under Agentic Advertising
AI agents increasingly interpret briefs and run campaigns through APIs instead of a person working inside a DSP. Using 2026 disclosures from The Trade Desk, Amazon Ads, Adform, Magnite and PubMatic, the paper argues that the DSP is not disappearing, but its role as the main buying interface is being structurally challenged.
A 2026 Analysis of the Asia-Pacific Out-of-Home Third-Party Data and Measurement Ecosystem
Asia-Pacific is the world's largest and most digital OOH region, and its least programmatic. The paper documents national measurement developments from Australia's MOVE currency to Malaysia's developing initiative, and locates the region's opportunity in the gap between digital and programmatic maturity.
A Proposed Outcome Exchange for Out-of-Home Advertising
Proposes an Outcome Exchange for OOH, where a campaign starts from a business objective rather than a quantity of inventory. The paper maps six positions in the agentic OOH value chain, argues that the sixth, outcome orchestration, is still unclaimed, and sets out a governance model that keeps language models away from pricing and causal inference.
A Competitive Framework for the AI Race in AdTech, MarTech, OOH and DOOH
There is no single AI race in advertising but at least four, and leading one does not mean leading the next. The paper compares disclosed AI metrics with headline growth across seven companies and proposes an unscored eight-dimension framework instead of a leaderboard.
(06) — LinkedIn
Posts and articles I’ve published on LinkedIn. Each one opens the original.
Posts and long-form articles on AdTech, out-of-home and AI, published on LinkedIn.
(07) — Magazine
Edition 01: The Intelligence LayerOctober 202636 pages
The screen was the product. Then the audience. Next comes the decision.
Sixteen research papers, one finding: nobody yet owns the layer that connects inventory, data, proof and action. The edition reads the papers side by side, from the transaction layer to the agentic turn.
(08) — Frameworks
Most of my papers end in a model that can be argued with. These four come up again and again across the research.
The unit of advertising is moving from the screen, to the audience, to the decision and, if the industry can prove it, to the outcome. Each step moves value towards whoever understands inventory best.
The old chain stopped at brand lift. Buyers now ask whether anyone noticed, whether the ad caused the change, and whether the evidence can steer a live campaign.
An outcome-based market only stays credible if these five are never blurred. Guarantees without validated causal measurement would collapse trust.
Remove manual work, keep accountability. Autonomy cannot scale without identity, permissions and audit, so it is granted one level at a time.
(09) — Consulting
I help AdTech, MarTech and B2B SaaS teams make better product decisions and turn them into working software, drawing on six years inside a programmatic DOOH business, hands-on AI product building, and independent research into where the market is going.
A second pair of product eyes on where a platform should go next and in what order.
Practical help with the mechanics that make advertising platforms hard to build.
Connecting the systems a business already runs on, so information flows without manual work.
Research briefings, articles and commentary on the companies, data providers and measurement systems that shape AdTech, MarTech and out-of-home.
Turning an AI idea into a scoped product, and where it helps, into a working one.
For founders and investors weighing a product idea in advertising technology.
Editorial collaboration, citations of the research, or a conversation about a product role. Get in touch.
(10) — Contact
I'm open to conversations about product roles, advisory work and research collaborations. Email is the quickest way to reach me.
