Go-to-Market Scientist · AI Strategist · Retail & CPG
Most go-to-market strategies fail not from lack of effort. From lack of system.
I'm a go-to-market scientist and AI strategist. I design AI operating models for retail, CPG, and B2B organizations and build the revenue systems behind them, inside your environment: agentic outbound, context-engineered LLM pipelines, AI-native RevOps, with governance built in. Over $100M in measurable client impact.
Three lenses
I work at the intersection. The product is the combination.
Go-to-market systems
Unified revenue engines beat fragmented tactics, every time.
$100M+ in measurable client impact across enterprise engagements.
Forward deployed AI engineering
Production LLM deployment, context engineering, agent orchestration — I ship the systems, not just the strategy.
45+ production AI agents running GTMify operations autonomously today.
Retail & CPG domain
25 years across retail, CPG, and manufacturing transformation.
RETHINK Retail Top Expert '25 & '26. Top AI in Retail Leader '26.
Latest takes
POV
Marketplace agents will negotiate your price before a human sees it
Agent-to-agent commerce moves pricing to machine speed. If your pricing logic assumes a human on both sides, you are already exposed.
RFID's second life under agentic ops
RFID got written off as 2010s tech. Agentic operations need real-time inventory state more than any prior workload. It is back, quietly.
Attribution is a religion, and it is bankrupting your budget
Multi-touch attribution sells a causal story built on correlational data. Here is what to measure when you accept attribution is directional at best.
About
I run the stack I write about.
AVP & Principal at Genpact Retail Applied Advisory. Co-Founder of GTMify.io. Two jobs at the same intersection (GTM systems, AI and agentic strategy, retail and CPG domain depth), from both the advisor seat and the operator seat.
The methodology under most of my engagements is CODN — the Cost of Doing Nothing framework — for putting a defensible number on inertia.
Long-form
Articles
The Hidden-State Tax: Why Agents Stall at Step 300 and the Bill Keeps Running
Frontier agents ace short tasks and collapse on long-horizon work because they lose hidden state and loop on retries that re-send full context. Here is the operating model that fixes it.
You Bought Agents. You Didn't Rebuild the Revenue Org Around Them.
Vendors post explosive agent numbers and almost every revenue team claims adoption, yet EBIT impact sits flat because agents get bolted onto a broken motion. Here is the operator fix.
Agentic Retail Rewards the Workflow. Boards Keep Funding the Artifact.
Six failures in agentic retail share one root cause: the enterprise measures and funds the wrong unit of value. Fix the operating model, and the margin follows.
Newsletter
One POV in your inbox when it hits
No schedule, no filler. You'll hear from me when there's a take worth your attention.