Domain knowledge with data

Amazon & E-Commerce Consulting

Practical product research, market analysis, sales reporting, pricing review, and inventory-planning support for Amazon and e-commerce sellers.

Private Label and Wholesale experience

Private Label

Private Label involves developing and selling a branded product sourced from a manufacturer. My experience covered product and niche research, supplier sourcing, competitor analysis, pricing assessment, listing preparation, and coordination of branding requirements.

I used marketplace data and research tools to compare demand, competition, historical pricing, keyword opportunities, estimated costs, supplier options, and potential product risks before supporting product-selection and launch decisions.

Product researchNiche validationSupplier sourcingCompetitor analysisPricing assessmentBrand positioningListing researchKeyword researchMargin reviewMarket analysisInventory planningLaunch preparation

Wholesale

Wholesale involves purchasing established branded products from authorised suppliers and reselling them through the marketplace. My experience included supplier communication, offer and margin analysis, inventory tracking, replenishment planning, pricing review, and performance reporting.

I reviewed supplier offers, marketplace competition, pricing history, estimated fees, stock movement, and SKU-level performance to support purchasing, restocking, and inventory decisions.

Supplier communicationSupplier negotiationProduct evaluationOffer analysisMargin analysisBuy Box reviewPricing analysisInventory managementReplenishment planningStock monitoringSKU performanceReporting

Areas of support

Product Research

• Product and niche research
• Competitor comparison
• Demand and pricing review
• Sales-estimate interpretation
• Product-risk identification
• Basic margin assessment

Amazon Listing Analysis

• Keyword research
• Product-title, bullet-point, and description review
• Search visibility analysis
• Competitor listing comparison
• Conversion-focused content recommendations

Market & Competitor Analysis

• Competitor pricing
• Market positioning
• Offer comparison
• Product differentiation
• Price-history review
• Customer-review pattern analysis
• Category-level observations

Inventory & Sales Analytics

• SKU performance reporting
• Sales-trend analysis
• Restock prioritisation
• Inventory movement
• Slow-moving stock review
• Pricing gaps
• Stock-risk reporting
• Dashboard-ready data

Private Label Guidance

• Product-validation framework
• Supplier-comparison support
• Margin and fee considerations
• Listing preparation
• Launch-planning checklist
• Introductory PPC planning
• Post-launch monitoring structure

Amazon FBA & Wholesale Guidance

• Wholesale product evaluation
• Supplier-account research
• SKU profitability review
• Buy Box and offer review
• Inventory planning
• Restock timing
• Product-performance reporting

Marketplace Research Tools

Helium 10

An Amazon product, keyword, listing, and market-research toolkit used to evaluate niches, search terms, competitors, listings, and product opportunities.

• Product research
• Keyword discovery
• Competitor review
• Listing analysis
• Market validation
• Search-volume review
• Product tracking

Jungle Scout

A product-opportunity research and sales-demand estimation platform used to compare potential products, niches, competition, and marketplace demand.

• Product discovery
• Sales estimation
• Demand review
• Competition analysis
• Niche research
• Product comparison
• Opportunity validation

Keepa

A historical Amazon data tool used to review pricing, sales rank, Buy Box activity, offer counts, and stock-related trends over time.

• Price-history review
• Sales-rank trends
• Buy Box analysis
• Offer-count tracking
• Stock-pattern review
• Product-risk checks
• Historical comparison

How This Supports My Data Work

E-commerce experience gives my technical work stronger business context. Instead of analysing data only as an academic exercise, I can connect metrics to commercial questions such as what to restock, where margins are weak, which products are slowing down, how pricing is changing, and where reporting can be automated.

• Product and SKU-level data cleaning

• Sales and inventory analysis

• Pricing-gap identification

• Competitor benchmarking

• Restock prioritisation

• Margin and profitability analysis

• Keyword and listing-performance review

• KPI dashboards

• Automated reporting

• Forecasting and stock-risk analysis

• AI-assisted customer support

• Product recommendation workflows

• Marketplace knowledge-base assistants

Tools and methods

Amazon Seller CentralHelium 10Jungle ScoutKeepaExcelPythonPandasPower BIMarket Research

This service complements my AI and data-science work: the domain context helps turn marketplace data into relevant analysis. Recommendations support decision-making but do not guarantee sales, ranking, profitability, or account outcomes.

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