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Business Forecasting
Self-Balancing
Inventory

Case study for Self-Balancing Inventory for a major retail chain, Business Forecasting at Aspect Ratio
Case study for Self-Balancing Inventory for a major retail chain, Business Forecasting at Aspect Ratio
Traditional inventory reorder methods result in higher obsolete inventory
Traditional inventory reorder methods result in higher obsolete inventory

The

Objective

Key Objectives
  • Understand peak sales potential across the globe
  • Segment markets into archetypes and frame strategy
  • Best practice sharing
  • Market Benchmarking
Current Challenges
  • Markets operated in silos
  • Manual and burdensome process
  • Distinct KPIs submitted by each market

Our

Approach

Trends analysis in Business Forecasting were used to self balance consumption times
Trends analysis in Business Forecasting were used to self balance consumption times

KPI Standardization

Finalized a set of KPIs most relevant to meet the needs and got stakeholder buy-in

Streamlining Data Collection

Used standard units data as a starting point of analysis in each of the 23 markets

Automating Market Level Process

Developed individual models for each market to calculate the KPI

KPI Analysis and Strategy Formulation

Identified 4 archetype markets with distinct opportunities to maximize potential

Spotfire Dashboard

Designed BI dashboard to enable stakeholders to extract insights

Scenario Builder

Developed a model to assess product potential under different scenarios

KPI Standardization

Finalized a set of KPIs most relevant to meet the needs and got stakeholder buy-in

Streamlining Data Collection

Used standard units data as a starting point of analysis in each of the 23 markets

Automating market level process

Used standard units data as a starting point of analysis in each of the 23 markets

Streamlining Data Collection

Used standard units data as a starting point of analysis in each of the 23 markets

The

Outcome

  • Automated processes led to a time saving of 75% vis-à-vis manual process
  • Increased participation – from 12 markets to 23 markets
  • Informed strategy and assisted in decision making at local market level
  • Standardized KPIs to allow comparison of performance across markets with varied data availability
Optimized inventory management by SKU across retail stores for major retail chain, Business Forecasting case study Aspect Ratio
Optimized inventory management by SKU across retail stores for major retail chain, Business Forecasting case study Aspect Ratio

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