Planogram Fundamentals & Strategy

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How to Build a Seasonal Planogram Calendar

A seasonal planogram calendar is a structured schedule that aligns shelf layouts with seasonal demand, sales trends, and category performance. It helps retailers plan product placement, optimize shelf space, and ensure timely assortment changes using tools like Nexgen POG, improving sales, inventory flow, and shopper experience.
What Is a Seasonal Planogram Calendar in Retail?

A seasonal planogram calendar defines when and how shelf layouts should change throughout the year based on demand cycles.

Planogram (Retail Definition)
  • A visual diagram that specifies product placement on shelves.
  • Includes facings (number of product fronts), SKU allocation, and category positioning.
  • Uses measurable parameters like shelf width, product dimensions, and sales velocity.
Key Related Terms
  • Shelf Space Optimization: Allocating space based on sales per square foot.
  • Category Management: Grouping products to improve shopper navigation.
  • Assortment Planning: Selecting the right mix of SKUs for each season.
How Does Nexgen POG Build a Seasonal Planogram Calendar?

Seasonal planogram software automates and structures calendar-based shelf planning using data inputs and predefined rules.

Step-by-Step Workflow
  • Import historical sales and seasonal demand data.
  • Define seasonal periods (e.g., summer, festive, clearance).
  • Apply autofill logic to allocate products based on performance.
  • Set product placement rules (eye-level, adjacency, category flow).
  • Adjust space allocation based on SKU velocity and margins.
  • Schedule planogram updates in a calendar view.
  • Deploy layouts across multiple stores.
Feature Breakdown
  • Automated SKU prioritization.
  • Dynamic shelf reallocation.
  • Multi-store synchronization.
  • Calendar-based execution tracking.
What Are the Use Cases of a Seasonal Planogram Calendar?
  • Planning festive assortments (e.g., Diwali, Christmas).
  • Managing summer vs. winter product transitions.
  • Launching promotional or limited-time SKUs.
  • Reducing overstock and stockouts.
Example
  • A retailer schedules beverage shelves to expand cold drink facings by 30% during summer months based on past sales data.
  • Winter months shift focus to hot beverages, reducing cold drink shelf space accordingly.
What Is the Business Impact of Using a Seasonal Planogram Calendar?
  • Improves sales per square foot by 10–25% (industry benchmark).
  • Reduces stockouts through demand-aligned placement.
  • Enhances shopper experience with relevant assortments.
  • Increases operational efficiency with automated updates.
Shelf Planning Workflow
  • Analyze seasonal sales data.
  • Define category priorities.
  • Allocate shelf space per SKU.
  • Apply placement rules.
  • Review and optimize layouts.
  • Schedule implementation.
Conclusion

A seasonal planogram calendar ensures that shelf layouts stay aligned with demand cycles. By using Nexgen POG, retailers can automate planning, improve execution accuracy, and drive measurable sales growth through structured, data-driven shelf strategies.

FAQ

1. How often should a seasonal planogram calendar be updated?
Retailers should update it quarterly or before major seasonal events to match demand shifts.

2. What data is required to build a planogram calendar?
Historical sales, SKU performance, shelf dimensions, and seasonal trends.

3. How does autofill logic work in Nexgen POG?
It automatically places products based on rules like sales rank, category priority, and available shelf space.

4. What is the role of facings in seasonal planning?
Facings determine product visibility and should increase for high-demand seasonal items.

5. Can seasonal planograms be applied across multiple stores?
Yes, Nexgen POG enables centralized planning and multi-store deployment.

6. How does shelf space optimization impact revenue?
Efficient space allocation improves product visibility and increases conversion rates.

7. What mistakes should retailers avoid in seasonal planograms?
Ignoring demand data, overloading shelves, and delaying planogram updates.