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Demand Forecasting & Assortment Optimization for FMCG Buyers

Forecast FMCG demand and optimize product assortment using sales data & seasonal patterns

4.1(35 reviews)
100+ downloads
Updated Oct 2026
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What You Can Do

This skill processes complex FMCG sales datasets to identify demand patterns, seasonal volatility, and promotional impact on your category. You can forecast future demand with confidence, optimize your SKU mix to eliminate dead inventory and stockouts, and align assortment resets with historical seasonal cycles—enabling data-driven buying decisions that balance shelf constraints, supplier minimums, and margin targets.

Features

Demand Forecasting

Analyzes historical sales velocity and seasonal patterns to project future demand by SKU and time period

Seasonal Pattern Recognition

Identifies weekly, monthly, and annual demand cycles to inform assortment timing and promotional calendars

SKU Performance Analysis

Ranks products by velocity, margin contribution, and shelf efficiency to surface discontinuation and expansion candidates

Promotional Impact Modeling

Quantifies lift and baseline demand shifts driven by past promotions to refine future promotional strategy

Assortment Gap Analysis

Compares current product mix against demand forecasts to identify overstocked and understocked SKUs

Category Velocity Optimization

Recommends product count and mix adjustments to maximize sales per linear foot and inventory turns

Multi-Format Performance Comparison

Benchmarks category performance across store banners, regions, or formats to identify localization opportunities

Replenishment Forecasting

Generates first-order and reorder quantity recommendations aligned with supplier minimums and lead times

Example Output

Example 1: Seasonal Demand Forecast

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Category: Carbonated Soft Drinks | Period: Q2-Q3 2025

Forecast Summary:
• May demand: 12,400 cases (baseline seasonal increase)
• June demand: 14,800 cases (summer peak begins)
• July demand: 16,200 cases (peak consumption period)
• August demand: 15,100 cases (school prep demand declines)

SKU-Level Recommendations:
✓ Increase 20oz single-serve allocation by 35% (higher velocity in warm months)
✓ Reduce 2L family pack SKUs by 15% (lower turns in summer vs. winter)
✓ Introduce seasonal flavor variant (historical 8% category lift in June-July)

Example 2: SKU Rationalization Recommendation

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Analysis: Current Assortment vs. Optimal Mix

Discontinuation Candidates (dead inventory risk):
• Artisanal Vanilla Pudding (4oz) — 0.3 cases/week, 18% shelf space
• Regional Yogurt Brand — 1.2 cases/week, 22% space, 8% margin

Expansion Opportunities:
• Probiotic Drinkable Yogurt — 6.8 cases/week, growing +12% YoY
• Private Label Greek Yogurt — 8.2 cases/week, 18% margin vs. 12% national brand

Projected Impact: 8 linear feet freed up, +$3,200/month category margin

What's Included

  • SKILL.md: Full instruction set and framework for demand analysis and assortment optimization
  • Sales Data Template: Structured format for historical transaction data (SKU-level sales, dates, promotional flags)
  • Seasonal Pattern Worksheet: Guide to identify and document annual and weekly demand cycles by category
  • SKU Performance Scorecard: Framework to rank products by velocity, margin, turns, and shelf efficiency
  • Promotional Calendar Tracker: Template to map past and planned promotions against demand forecasts for impact analysis

Who It's For

  • FMCG/Grocery Category Managers — Optimize assortment mixes and plan seasonal resets using data-driven insights
  • Retail Buyers — Forecast demand and rationalize SKU portfolios to reduce waste and maximize shelf productivity
  • Merchandising Teams — Align promotional calendars and pricing strategies with historical demand patterns and seasonal cycles
  • Supply Chain & Inventory Planners — Generate replenishment forecasts and optimize stock levels across store formats
  • New Category Entrants — Develop initial assortment strategies and demand baselines for recently added product lines

Best For

  • Seasonal Assortment Resets — Plan Q4 holiday, summer beverage, or back-to-school assortments using historical demand forecasts
  • SKU Rationalization & Discontinuation — Identify underperforming products and dead inventory candidates to reduce shelf clutter
  • Promotional Calendar Planning — Align promotions with peak demand periods and quantify expected lift impact
  • Multi-Format Assortment Strategy — Customize product mix and quantities across store banners or geographic regions
  • Supplier Consolidation & New Product Launch — Forecast demand for new SKUs and calculate space reallocation from lower-velocity items

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