AI recovery & transformation Los Angeles, CA

AI for Revenue Growth & Retail Execution.

We help retail and CPG operators modernize revenue growth management, retail execution, and field operations. We rebuild AI initiatives that stalled, broke, or never shipped — and architect new ones that won't.

Book consult → View treatment plan ↘
The Commercial Graph Where AI lives or dies

The neural network behind commercial AI.

Workflows, data, field signals, and outcomes — wired into one operating graph. We design it, defend it, and rebuild it when it drifts.

Of the $684B invested in AI in 2025,

$547B failed to deliver value.

Source: Pertama Partners · synthesizing RAND, MIT Sloan, Gartner & S&P Global

Diagnostics

Symptoms we commonly treat.

Most of what we encounter is the aftermath of a failed AI initiative — pilots that never scaled, models that never moved the P&L, and AI teams disconnected from field operations. If any of this sounds familiar, you're in the right place.

N° 01Retail Execution

Zero shelf visibility.

OOS, planogram drift, share-of-shelf, and competitor activity are observed in hindsight — never intervened in real time.

Severity / Med→
N° 02Retail Execution

Store-condition data goes unused.

Photos, audits, and visit notes pile up in systems. Nothing automatically triages, prioritizes, or routes action back to the store.

Severity / Critical→
N° 03Retail Execution

Perfect-store scoring without consequence.

KPIs exist on dashboards. None of them automatically translate into the next visit, the next call, or the next correction.

Severity / High→
N° 04Revenue Management

Trade-spend leaking at scale.

Promotions evaluated on what was planned, not on what executed at the shelf. ROI math runs months after the dollars are gone.

Severity / High→
N° 05Revenue Management

Pricing & promo decisions made by gut.

Elasticity, mix, cannibalization, and competitor pricing live in different tools — and none of them are wired into the planning calendar.

Severity / High→
N° 06Revenue Management

Forecasts the business doesn't trust.

Demand plans diverge from sales-ops reality. Finance, supply, and commercial each run their own version because no one believes the canonical one.

Severity / Med→
N° 07Field Operations

Field teams flying blind.

Routing, store prioritization, and rep coaching depend on instinct — not on the millions of signals already in your systems.

Severity / High→
N° 08Field Operations

Reps spend hours on admin.

Forms, photos, PDFs, and reporting extract time from the field instead of giving it back. AI should be doing the paperwork, not the people.

Severity / Med→

The model is rarely the problem. The workflow, the data, the ownership, and the change management around it almost always are.

The Practice

Recovery. And transformation.

We first repair the systems, workflows, and operating gaps behind failed AI initiatives. Then we operationalize AI across the parts of the business where it creates measurable P&L impact.

N° 01

AI Initiative Recovery

Diagnostic intake on a stalled, broken, or under-performing AI initiative — pilot autopsy, model resurrection, governance rebuild, and a 90-day path to ship the value the first attempt never reached.

Pilot autopsyModel resurrectionGovernance rebuildShip plan
6–12 wk
N° 02

Retail Execution Intelligence

Computer-vision shelf audit, store-condition scoring, and perfect-store workflows that close the loop from observation to intervention — at every store, every visit.

CV shelf auditPlanogram driftOSA detectionShare of shelfCompetitor intel
12–24 wk
N° 03

Revenue Growth Management

AI for trade promotion optimization, price-pack architecture, and demand forecasting — joined to live execution signal so the dollars you commit show up at the shelf.

TPOPrice-packElasticityMixForecasting
10–20 wk
N° 04

Field Operations Automation

AI-routed visits, store prioritization, rep coaching, and autonomous admin — built so the field spends time selling, not filing.

Route optimizationStore prioritizationRep coachingVisit automation
8–16 wk
N° 05

AI Transformation Strategy

Enterprise AI roadmaps engineered around your P&L and commercial calendar — sequenced to ship value inside the fiscal year.

Maturity auditOperating modelInvestment thesisSequencing
4–8 wk
N° 06

Data & AI Infrastructure

Modern data stack, the commercial graph, and AI-ready pipelines — the substrate that makes every downstream model and agent reliable.

Commercial graphWarehouseFeature storesMLOps
12–20 wk
N° 07

Executive AI Enablement

Leadership labs, AI operating-model design, and change management so transformation compounds across the org.

Exec labsOrg redesignAdoption opsCapability building
6–12 wk
N° 08

Agentic Workflow Engineering

Autonomous agents that own multi-step commercial workflows end-to-end — promo approvals, planogram corrections, account-plan refreshes, exception handling — with the guardrails and reliability to operate without supervision.

Agent designWorkflow orchestrationTool integrationEval harnessHuman-in-loop
10–20 wk
The Treatment Plan

A four-part recovery program.

Phase 0101 / 04

Assess.

Operator-led diagnostic of data, workflow, and capability gaps.

  • Commercial signal audit
  • Workflow mapping
  • AI maturity scoring
  • Opportunity portfolio
Phase 0202 / 04

Architect.

Design the AI operating layer — data, agents, decision routing, and change.

  • Data & model architecture
  • Agent & workflow design
  • Governance & evals
  • Org operating model
Phase 0303 / 04

Automate.

Deploy production agents and AI-native workflows into live commercial ops.

  • Production deployment
  • Tool integration
  • Human-in-loop ops
  • Performance baselines
Phase 0404 / 04

Optimize.

Continuous evaluation, expansion across functions, and compounding releases.

  • Eval & feedback loops
  • Cross-functional expansion
  • Capability roadmap
  • Commercial-lift tracking
Retail execution — Shelf compliance
+18%
Improvement in shelf compliance across audited stores.
Revenue mgmt — Trade-spend ROI
+12pts
Trade-spend ROI gain on AI-orchestrated promotions.
Revenue mgmt — Forecast accuracy
3.4×
Lift in forecast accuracy on optimized SKU portfolios.
Field ops — Decision latency
−71%
Reduction in field-decision latency post-deployment.
Specialties

Verticals we treat.

Vertical 01

Consumer
packaged goods.

  • N° 001Trade promotion optimization
  • N° 002Shelf & planogram intelligence
  • N° 003Field execution automation
  • N° 004Demand & sales forecasting
  • N° 005Retail media measurement
  • N° 006Shopper & channel analytics
Vertical 02

Retail &
retail media.

  • N° 007Store ops & labor optimization
  • N° 008Inventory & replenishment
  • N° 009Omnichannel analytics
  • N° 010Customer intelligence
  • N° 011RMN audience optimization
  • N° 012Closed-loop attribution
The Practitioners

The people on call.

EstablishedMMXXIV
ResidencyFieldGoal
Practitioners06 in residence
SpecialtyCommerce
Behind NeuralRehab is the founding team of FieldGoal — builders, operators, and field pros who've lived the realities of retail and distribution. We come from beverage, CPG, technology, and design — different paths, same purpose.
Vahag Dudukgian
N° 01Founder & CEO

Vahag Dudukgian

Founder · Operator

15+ yrs in field-sales tech. Founded FieldGoal to turn retail execution into growth. Ex-Rockstar, led ops through $3.85B PepsiCo exit. Early career at Raytheon Space & Airborne Systems.

Patrick Bjornstad
N° 02Principal Data Scientist

Patrick Bjornstad

Data · LLMs

Polymathic data scientist with 10+ yrs of statistics and software development, previously at NASA JPL. Leads LLM integration, enabling human-AI symbiosis for complex data workflows.

N° 03Data Scientist

Spencer Bouchard

Bayesian · ML Modeling

Builds sophisticated Bayesian and machine-learning models — demand, elasticity, and retail-execution signals — translating uncertainty into commercial decisions.

Axelle Sarray
N° 04Chief Intelligent Design Officer

Axelle Sarray

Design · UX

Leads the design of our AI interfaces, uniting human-centered design with intelligent automation. 10+ yrs in UX/UI for enterprise applications.

Yury Lysov
N° 05Principal AI Interface Architect

Yury Lysov

Frontend · Architecture

Built FieldGoal's front-end foundation. Leads web and mobile AI experience with 15+ yrs crafting scalable apps. Expert in React and modern JS tooling.

Adeel Cheema
N° 06Lead Mobile Developer

Adeel Cheema

Mobile · React Native

Software engineer blending React Native and AI to deliver cross-platform apps. Leads mobile efforts, integrating AI features directly into field workflows.

Admission

Book a consult.

A 60-minute diagnostic consult with our practitioners. Bring us a stalled AI initiative for a second opinion, or a clean slate to build against. Either way, we'll diagnose what's worth doing first and what's worth doing differently.

Book consult → View treatment plan ↘