E-commerce operations × AI automation

I turn e-commerce operations into smarter, automated systems.

I combine e-commerce operations expertise with AI automation to improve workflows, reduce repetitive work, strengthen operational visibility, and build scalable systems.

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Amazon operationsFBA / FBM / Inventory

AI automationn8n / LLMs / Workflows

Process intelligenceData / Rules / Decisions

Amazon OperationsFBA / FBM / Inventory

AI Automationn8n / LLMs / Workflows

Process IntelligenceData / Rules / Decisions

Business value

From business problems to intelligent systems.

Automation begins with a clear operational baseline—then creates a measurable, continuously improving system.

Baseline

Automate

Measure

Improve

01Less repetitive manual work

02Fewer operational errors

03Earlier risk detection

04Better decisions

05Standardized processes

06Greater operational visibility

07Scalable operations

Signature framework

My E-Commerce Automation Framework™

A disciplined progression from operational diagnosis to tested, scalable execution.

Discover

Identify operational problems and bottlenecks.

Map

Understand workflows, data, rules, and exceptions.

Design

Determine what should be automated, rule-based, AI-driven, or human-approved.

Build

Connect APIs, webhooks, AI, databases, spreadsheets, and business tools.

Validate

Test data, AI outputs, rules, edge cases, compliance, and reliability.

Automation without validation is not reliable automation.

Deterministic rulesAI reasoningStructured outputsQAError handlingMonitoringHuman approvalScalability

Featured proof of capability

Systems designed around real operational logic.

Each architecture combines structured inputs, clear decision rules, AI reasoning, validation, and a defined business action.

System architecture

AI-Powered Inventory Risk & Replenishment System

Marketplace Data

Inventory Calculations

Business Rules

AI Risk Analysis

Priority

Action

Alert

Days of SupplyReorder PointStockout RiskOverstock DetectionInventory AgingPriority ScoringAlertsException MonitoringBatch Processing

Business valueIdentify inventory risks earlier and reduce manual inventory monitoring.

System architecture

AI Voice of the Customer

Reviews / Emails / Chats

AI Classification

Sentiment

Trends

Insights

Business Action

SentimentComplaintsFeature RequestsCancellation ReasonsProduct TrendsExecutive Summaries

Business valueTurn scattered customer feedback into structured business intelligence.

System architecture

AI Receptionist

Customer Inquiry

AI Classification

Business Logic

Response / Booking / Routing

Logging

Customer CommunicationAppointment BookingRoutingEscalationCRM / Data Logging

Business valueAutomate routine communication and intelligently route customer requests.

System architecture

AI Listing Optimization Factory

Product Data

Keywords

AI Generation

Structured Output

QA / Compliance

AI Revision

Approved Listing

Amazon SEOKeyword StrategyStructured AI OutputCompliance ChecksRevision LoopHuman Approval

Business valueScale listing production while maintaining quality and consistency.

Project demonstrations · Loom video showcase

See the systems in action.

These project walkthroughs demonstrate how I combine operational logic, structured data, AI reasoning, validation, and automation to turn complex business processes into intelligent systems.

01 / AI inventory intelligence

Smart Stock Inventory Forecasting with AI Recommendations

An intelligent inventory monitoring and forecasting workflow designed to analyze stock levels, calculate inventory risk, detect potential stockouts or overstock situations, and generate AI-powered recommendations. The system combines deterministic inventory calculations, business rules, structured AI analysis, priority scoring, and automated recommendations.

Inventory monitoringDays of supply calculationReorder point analysisStockout risk detectionOverstock detectionInventory aging analysisPriority scoringAI-powered recommendationsStructured outputsException monitoringBatch processing

Business valueIdentify inventory risks earlier, reduce manual monitoring, and provide structured recommendations that support faster operational decisions.

Live system walkthrough

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02 / Customer intelligence system

AI Voice of the Customer Analysis + Monthly Report

An AI-powered customer intelligence system designed to collect, analyze, classify, and transform scattered customer feedback into structured insights and actionable business intelligence. It identifies recurring issues, sentiment patterns, feature requests, product trends, and key themes for decision-makers.

Customer feedback analysisSentiment classificationComplaint detectionFeature request identificationCancellation reason analysisProduct trend detectionTheme clusteringAI-generated summariesStructured insightsMonthly reportingExecutive-level intelligenceAction-oriented recommendations

Business valueTurn scattered customer feedback into structured business intelligence and provide a clearer view of recurring customer concerns, emerging trends, and potential areas for operational or product improvement.

Live system walkthrough

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About

Where e-commerce meets AI automation

“An e-commerce operations specialist who can execute the work, understand the process behind it, and identify opportunities to automate it.”

Operations

Process Thinking

Validation

Business Value

Elmarie understands the operation before she automates the operation.

How I work

Built methodically. Validated continuously.

Discover

Map

Design

Build

Validate

Monitor

Services

Operational expertise, translated into intelligent systems.

E-Commerce Operations

Amazon operations, inventory, listings, orders.

ProblemFragmented marketplace execution→SolutionStructured operational control→ValueBetter operational leverage

AI Workflow Automation

AI-powered workflows, APIs, webhooks, automation.

ProblemRepetitive multi-tool work→SolutionConnected, reliable workflows→ValueBetter operational leverage

Process Optimization

Identify repetitive work and operational bottlenecks.

ProblemSlow and inconsistent processes→SolutionClearer, scalable operations→ValueBetter operational leverage

AI Data Analysis

Turn business and customer data into actionable insights.

ProblemScattered, underused data→SolutionDecision-ready intelligence→ValueBetter operational leverage

AI Customer Communication

Inquiry handling, booking, routing, escalation.

ProblemRoutine requests create delays→SolutionFast, intelligent routing→ValueBetter operational leverage

AI Content Systems

Listing generation, keywords, QA, structured content.

ProblemContent production lacks consistency→SolutionScalable, validated output→ValueBetter operational leverage

Technology ecosystem

Tools connected by operational logic.

The technology supports the system. The business process defines it.

AI Automation CoreLogic · Data · Validation

n8n

Make

Zapier

Airtable

Google Sheets

VAPI

OpenAI

Groq

Claude

Amazon Seller Central

Helium 10

Canva

Ready when you are

Have an operational problem worth automating?

Let’s turn repetitive processes into reliable systems.

Book a call Start a conversation

ELMARIE LOREN MAHINAYE-Commerce Operations SpecialistAI Automation Specialistelmarielorenm@gmail.comPhilippinesLinkedIn profile