Plan with precision.
Execute with confidence.
DemandLogix is the practice of Priya A. Panchal, a supply chain planning executive with 16+ years across CPG, food and beverage, beauty, retail, and healthcare. Custom planning tools, fractional planning support, and planning diagnostics.
Start with a Demand Diagnostic.
- The Demand Diagnostic is a focused review of your sales, your current stock position, and a few what-if scenarios, with a clear read on what to do next.
- From there, DemandLogix works alongside your team as an added planning resource, identifying the root cause and building the tool that sustains the fix.
- Priya does the work. AI handles the repetitive analysis.
Planning, reporting, and retail data.
Planning
- Demand and supply planning with statistical forecasting
- Inventory and production planning
- Retail DC replenishment and allocation
- Safety stock modeling and excess and obsolete mitigation
- ABC-XYZ segmentation
- Shelf-life and expiration-dated inventory
- Scenario planning
- Team coaching and capability building
Reporting
- S&OP leadership and executive meeting packages
- KPI reporting covering forecast accuracy, MAPE, and bias
- Budget versus forecast versus actual variance analysis
- Sell-through, replenishment trend, and seasonal pattern analysis
Retail Account Data
- Walmart Retail Link, Amazon Vendor Central, and Target Partners Online
- POS and sell-through reporting
- On-hand, in-stock, and weeks of supply tracking
- Replenishment and order performance analysis
Custom Excel planning tools.
Reorder points, safety stock, ABC-XYZ segmentation, forecast reviews. Built custom, or ready-made on Gumroad.
See the Excel tools →
Shown with sample data.
Systems Priya has worked in.
Automate the tedious parts of planning.
Custom Excel tools and planning web apps with DLX AI inside. Priya builds the tool so the team does not have to. AI Summary, AI Next Steps, and an AI Assistant for questions about the data.
See the tools →
AI Summary
AI Next Steps
AI Assistant
Support that fits your team.
Engagements are shaped around how your team already plans: a one-time diagnostic, a custom tool, or ongoing fractional support. The first call sorts out which fits.