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QuickMart – Sales Trend Forecasting

Company Name: QuickMart


Project Objective: QuickMart is struggling to accurately forecast sales trends due to inconsistent analysis of historical data and seasonal fluctuations. This has led to challenges in inventory management and missed opportunities for optimising stock levels. The objective is to develop a robust data-driven solution that analyses historical sales data, predicts future trends, and provides actionable insights through interactive dashboards.


Requirement:

  • Analyse historical sales data to identify patterns and trends.
  • Develop a forecasting model using regression or time-series analysis.
  • Provide dashboards to visualise trends and predictions.

Detailed Features:

  • App Features:
    • Trend analysis and seasonal pattern identification.
    • Sales forecasting using historical data.
    • Visualisations for past and predicted trends.
  • Deliverables:
    • Phase 1: Data analysis framework and dashboard wireframes.
    • Phase 2: Forecasting tool and interactive dashboard prototype.

Technology Suggestion: Excel for analysis, Tableau for dashboards.


Expected Output:

  • Phase 1: Data insights and dashboard mockups.
  • Phase 2: Interactive sales forecasting tool.

 

Category: Analytics
Technology: Excel Tableau

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