ENTERPRISE AI ECOMMERCE PLATFORM
HEADLESS ARCHITECTURE + EMPLOYEE UX + AR COMMERCE + EXECUTIVE INTELLIGENCE
As Senior Product Strategy & Digital Experience Lead, I owned the end-to-end strategy, experience architecture, and modular platform development for this enterprise ecommerce transformation. Operating without a director layer, I partnered directly with VP- and C-level stakeholders while leading a team of 4 UX designers, 3 researchers, and collaborating with 40+ engineers and 12+ product managers to drive scalable innovation across the entire ecosystem.
A Systems-Based Approach to Scalable Retail Transformation
Using my systems-first framework, I identified four structural friction points that limited operational agility, user confidence, and strategic decision-making — then mapped each to a targeted product module:
We addressed four systemic barriers to scalable retail transformation:
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Trust in Inventory → Solved with an AI-Powered Employee Experience Platform, featuring real-time stock visibility, predictive inventory tools, and fulfillment diagnostics for frontline associates.
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Visualization Gaps → Solved via an AR-Enabled Customer Experience (CX) Platform with spatial preview and delivery confidence
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Architectural Rigidity → 🠖 Solved through Composable Headless Architecture, using microservices and developer APIs to accelerate releases, A/B testing, and regional scaling without backend lock-in.
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Intelligence Latency → Solved with an Executive Intelligence Dashboard, providing real-time analytics across fulfillment, CX, and sales pipelines — built for C-suite visibility and strategic planning.
This modular strategy enabled measurable improvements in:
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Fulfillment speed and inventory accuracy
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Customer trust and return reduction
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Deployment agility across markets
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Executive clarity and real-time decision making
The result: a fully integrated, AI-enabled commerce platform built for scale — aligning frontline execution, customer confidence, and leadership insight in one adaptive ecosystem.
USER & MARKET RESEARCH
We conducted cross-functional research across operations, stores, warehouses, and digital commerce teams to uncover fragmentation across backend systems, customer touchpoints, and leadership dashboards.
EMPLOYEES & OPERATIONS (EX PLATFORM)
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“I spend more time searching for stock than moving it.”
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“It’s hard to trust the inventory count — the systems don’t match.”
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“Warehouse tasks are manual and slow. We waste hours per shift.”
CUSTOMERS (AR CX PLATFORM)
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“I’m not sure if this TV will fit in my living room.”
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“I don’t want to buy if I don’t know if it’s in stock near me.”
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“I only buy in-store because I don’t trust delivery dates.”
ENGINEERING & PRODUCT TEAMS (REPLAFORMING)
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“The monolith blocks us — we can’t make changes to one thing without affecting the whole site.”
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“We can’t personalize or test without crashing the checkout.”
EXECUTIVE & BUSINESS LEADERSHIP (Intelligence UI
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“We don’t have a single view of sales, inventory, and customer feedback.”
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“I can’t make decisions fast enough — the data lags behind the market.”
WHAT WE OBSERVED ACROSS ROLES
(And the product modules that emerged)
Observation
Mapped To Product
AI-Driven EX Platform (WMS, OMS, IMS)
AR-Enabled CX Platform
Headless Microservices Re-platforming
Executive Dashboard (Real-Time UI)
Manual workflows and inventory blind spots slowed fulfillment
Customers abandoned purchases due to uncertainty and visualization gaps
Developers were blocked by rigid architecture and update bottlenecks
Leadership lacked real-time insight to act on performance
JOBS TO BE DONE MATRIX
Persona / Role/Job
Store Associate
JTBD
When I receive or fulfill orders, I want to know what’s in stock and where, so I can act quickly.
Friction Point
Inventory data is out-of-date, siloed, or hard to access.
Product Solution
AI-Driven EX Platform
Warehouse
Employee
When I’m in the warehouse, I want process alerts and predictions, so I can optimize my workflow.
No real-time alerts, stock tracking is manual.
IoT-Enabled Inventory UI (EX Platform)
Customer
When I shop online or in-store, I want to see exactly what’s available and when, so I can buy with confidence.
Inconsistent delivery info, no cross-channel inventory visibility.
Real-Time CX Platform + Stock APIs
When I consider a big purchase, I want to preview the product in my space, so I feel confident it fits.
Can’t visualize products, especially furniture, TVs, appliances.
AR-Enabled Product Visualization
Developer
When I build new commerce features, I want to deploy them without risking the rest of the platform.
Monolith blocks modular releases, creates fragile dependencies.
Headless Microservices Replatforming
Product Engineer
When I test integrations, I want to simulate API calls, so I avoid breaking live flows.
No dev sandbox, no logs or error tracing during integration.
API Mesh + Dev Console (Platform SDK)
C-Suite Executive
When I review performance, I want a real-time dashboard across ops and sales, so I can make decisions fast.
Lagging reports, disconnected KPIs, no visual prioritization of alerts.
Executive Intelligence Dashboard
Ops Director
When I manage fulfillment or customer service, I want to spot trends across touchpoints, so I can improve CX.
No unified view of operations + experience data (returns, delays, stock-outs).
Unified Data View
(BI Layer + CX Metrics)
PRODUCT VISION & STRATEGY
We structured the platform transformation across
4 key product initiatives — each mapped to a
business-critical pillar and audience.
Product 1: AI-Powered Employee Experience (EX Platform)
VISION:
Empower frontline workers with real-time, accurate, and predictive systems to streamline order fulfillment and stock accuracy.
STRATEGIC PILLARS:
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AI Inventory Forecasting
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IoT Warehouse Optimization
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Real-Time Internal Dashboards
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Modular Service Deployment
Product 2: Immersive AR Commerce (CX Platform)
VISION:
Create high-trust, personalized omnichannel shopping experiences through real-time data, AR visualization, and delivery accuracy.
STRATEGIC PILLARS:
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Real-Time Stock APIs
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Augmented Reality Tryouts
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Cross-Platform Sync (Web, Mobile, Kiosks)
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Post-Purchase Experience Loops
Product 3: Headless Microservices Re-platforming
VISION:
Transition from a monolith to a composable architecture enabling rapid experimentation, personalization, and modular updates.
STRATEGIC PILLARS:
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API Mesh Layer
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Modularized Backend Services
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Enterprise Data Orchestration
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No-Downtime Continuous Deployment
Product 4: Executive Intelligence Dashboard
VISION:
Provide C-suite and Ops leads with live visibility across sales, customer experience, logistics, and inventory — in a single interface.
STRATEGIC PILLARS:
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Real-Time Data Integration
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Visual Performance Dashboards
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Alert Systems & Trend Insights
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Multi-Channel Feedback Aggregation
ROADMAP
KEY INITIATIATIVES
Q1 - Inventory UX redesign, AR feature prototyping, re-platforming roadmap definition
Q2 - AI forecasting model deployment, PIM + WMS decoupling, AR integration across web and mobile
Q3 - OMS, IMS microservices live; real-time dashboard MVP in stores and exec HQ
Q4 - Enterprise SDK deployment, warehouse IoT rollout, full omnichannel sync launch
PRODUCT DESIGN
PRODUCT 1: Internal Tools (EX Platform)
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Redesigned employee-facing inventory management UIs
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Created AI-driven dashboards for picking, packing, forecasting
RESEARCH & TESTING METHODS:
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Shadowed warehouse teams across 3 fulfillment centers
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Conducted 10+ 1:1 interviews with pickers, packers, and operations managers
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Ran usability tests on inventory dashboards and order audit tools
WHAT WE HEARD:
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“Order accuracy improved once we saw what was out of sync — in real time.”
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“I trust the system more when it matches what I see on the floor.”
PRODUCT RESPONSE:
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Built real-time AI dashboards for picking, packing, and forecasting
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Mobile-first redesign of inventory interfaces
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Live alerts for stock mismatches and order bottlenecks
IDEATION
MVP - INTERNAL TOOLS
MVP - INTERNAL TOOLS (BUSINESS UNITS & OPERATIONS)
PRODUCT 2: Customer Experience (AR CX)
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Designed and tested AR product previews
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Built responsive real-time stock alerts
RESEARCH & TESTING METHODS:
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In-home AR shopping simulations using early mobile builds
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Surveyed 500+ users on buying behavior and visual decision-making
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Voice interaction testing for natural commands like “Show me this in my room”
WHAT WE HEARD:
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“Seeing it in my room helped me feel confident — I bought immediately.”
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“I don’t want to guess if it fits or looks right — just show me.”
PRODUCT RESPONSE:
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Developed real-time AR previews with true-scale object placement
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Built voice-to-AR triggers integrated across mobile and web
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Created shared cart and visual sync across shopper touchpoints
PRODUCT 3: Platform Engineering (Re-platforming)
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Ran journey mapping with devs and architects
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Designed API developer experiences + sandbox
RESEARCH & TESTING METHODS:
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Journey-mapped dev onboarding from sandbox to deployment
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Interviews with partner integrators and internal teams
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Tested new API console and documentation in engineering sprints
WHAT WE HEARD:
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“Now we can launch features without affecting checkout.”
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“Testing used to mean breaking something. Not anymore.”
PRODUCT RESPONSE:
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API sandbox with mock data, visual logs, and staging environments
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Modular architecture to isolate updates
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Real-time diagnostics UI for dev + QA visibility
MVP - PLATFORM ENGINEERING (IT & ENGINEERING)
PRODUCT 4: Leadership Experience (Executive UI)
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Created role-specific dashboards
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Defined high-priority alerts and KPI surfacing
RESEARCH & TESTING METHODS:
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Research & Testing Methods:
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12+ executive interviews across finance, CX, and operations
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Live tests of KPI dashboards with real data
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Alert prototype reviews during live ops meetings
WHAT WE HEARD:
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“I can finally make daily decisions without waiting on end-of-month reports.”
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“It’s not about more data — it’s about the right data at the right time.”
PRODUCT RESPONSE:
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Role-specific dashboards surfacing KPIs by priority
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Real-time alerting for revenue, fulfillment, and CX health
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Forecasting tools built directly into daily ops views
IMPACT
Outcome Metric / Result
Order accuracy & fulfillment speed ↑ 20% due to AI-driven WMS
Return rates ↓ 40% due to AR-driven purchase clarity
Time to deploy features ↓ from weeks to days post-replatforming
Inventory visibility ↑ 3x accuracy across stores and warehouses
Executive decision latency ↓ 70% with real-time intelligence UI
Customer conversion rates ↑ 15% (mobile + AR channels)
REFLECTION
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Platform transformation succeeded because each product solved for a specific user group’s pain
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Headless architecture wasn’t the goal — faster decisions, better trust, and modular execution were
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Employee tools and executive visibility were as critical as front-end UX
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AR was not “just a feature” — it was a conversion unlock
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Executive Director - “We redefined what ‘omnichannel’ really meant — not just channels, but people, roles, and decisions.”
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WHAT'S NEXT:
POINT OF SALE FEATURE
FUTURE: DIGITAL TWIN ENHANCEMENTS
