I can help you manage inventory using sales and demand forecasting

Why Hire Me?

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I bring 7+ years of cross-industry experience in data-driven inventory management, with a deep understanding of forecasting methods tailored for e-commerce. My services focus on preventing overstock and stockouts, improving turnover, and aligning inventory with dynamic customer demand.

Why Clients Choose Me:

• Expertise in sales forecasting, demand prediction, and inventory optimization

• Proficient in analyzing historical sales data, seasonality, and promotions

• Skilled in applying models like moving average, regression, exponential smoothing, and ML-based forecasts

• Capable of developing category-specific inventory strategies, including JIT and EOQ models

• Delivery includes structured reports, charts, and dashboard-ready outputs

• Experience across product types: FMCG, fashion, electronics, and niche D2C items

What I Need to Start Your Work

Please provide the following to initiate your inventory forecasting and optimization project:

1) Project Scope and Inventory Management Goals

• Objective of the project (e.g., reduce holding costs, improve fulfillment rates)

• Product categories or SKUs to focus on

• Any known inventory issues or goals (e.g., high stockouts, dead stock)

2) Sales and Demand Data Specifications

• Historical sales data (format, frequency – daily, weekly, monthly)

• Inventory logs (stock on hand, stockouts, restock dates)

• Sales trends during campaigns or seasonal periods

• Any preprocessing already applied to the dataset

3) Forecasting Methodology

• Preferred forecasting method (if any): time series, regression, ML-based

• Software/tool to be used: Excel, R, Python, etc.

• Any relevant business rules (e.g., buffer stock during sales periods)

4) Inventory Strategy Development

• Strategy expectations: JIT, EOQ, safety stock levels

• Input on vendor lead times, MOQ, reorder frequency

• Approach to handle irregular demand or supply chain disruptions

5) Reporting and Analysis Requirements

• Format of reports: Excel sheets, PowerPoint decks, PDFs

• Charts and dashboards: stock projection graphs, reorder schedules

• Level of detail expected (executive summary vs technical model description)

6) Data Privacy and Ethical Considerations

• Any NDA or legal requirements

• Compliance with internal data governance or external regulations

7) Project Timeline and Milestones

• Final delivery date

• Review points or intermediate deliveries (e.g., model validation)

• Urgency or time-sensitive targets (e.g., festive season planning)

8) Communication and Collaboration

• Preferred channels (Zoom, WhatsApp, Email)

• Review meeting frequency

• File sharing protocols (Google Drive, Dropbox, etc.)

9) Additional Requirements or Preferences

• Any competitive benchmarks to match

• Past reports, templates, or examples (if any)

• Other special instructions relevant to your e-commerce vertical