Sales Planning & Promotional Analysis – Cupid Cookies

Sales Planning & Promotional Analysis – Cupid Cookies

ExcelTableau
06/05/25

Executive Summary

In this project, Cupid Cookies’ sales planning workflow was redesigned to address rising challenges in promotional forecasting and inventory alignment. As seasonal campaigns expanded across 30 store locations, inconsistencies in demand projections and delayed subsidy reporting created friction across sales, operations, and finance teams.

To address these issues, a centralized Excel tracker and Tableau dashboard were developed to improve forecast accuracy, align store-level supply with expected demand, and evaluate promotion ROI by flavor and channel.

Key Deliverables

  • Excel Forecasting Tracker
    Designed to project weekly demand using historical sales and seasonal trends. Enabled alignment between promotional planning and inventory constraints across 30 store locations.

  • Tableau ROI Dashboard
    Visualized cross-channel promotion performance, calculated breakeven points, and supported post-promotion analysis for vendor subsidy decisions.

Business Context & Objectives

Cupid Cookies is a 30-store cookie chain operating in Hong Kong. Each month, it introduces one seasonal flavor alongside four core SKUs, requiring careful alignment of promotional campaigns, store inventory, and vendor coordination.

This project was inspired by M&M Food Market’s approach to flyer-based forecasting and was designed to:

  • Forecast weekly sales at the flavor level
  • Support planning of store-level inventory allocation
  • Evaluate ROI and breakeven points of monthly promotions

Sample screenshot: Excel Validation Template


Dataset Structure

The dataset simulates 6 months of transactional and promotional data (Nov 2024 – Apr 2025). Key fields:

FieldTypeDescription
dateDateTransaction date
store_idStringStore location ID
flavorStringCookie flavor (4 core + 6 seasonal)
units_soldIntegerUnits sold
promo_flagBooleanWhether a promotion was active
promo_typeStringDiscount / Bundle / Limited
cost_per_unitDecimalProduct cost
retail_priceDecimalSelling price
subsidy_claimBooleanVendor subsidy claimed