Case Study
Consultancy ForLevi's
The Challenge
Levi Strauss were seeking a more scientific approach to understanding the performance of their existing store portfolio and wanted GMAP to create an Ideal Network Plan to help formulate a ‘Smart Growth List’ for future store investment across 50 major cities in China.
The Approach
- The latest demographic, competitor stores, market research and ‘points of interest’ datasets were used to quantify current and future market sizes for the 50 focus cities.
- RetailVision Destinations – Retail Centres and Retail Trade Zones (TZs) – were comprehensively mapped to provide a detailed depiction of China’s retail landscape.
- GMAP’s bespoke Spatial Model was used to estimate the flow of consumer spend within each city to the defined Centres & TZs.
- The market share of Levi's was calculated for each Centre and TZ.
- Future market potential was forecasted using a combination of market trends, future retail and infrastructure developments, such as new shopping malls and underground stations. This enabled GMAP to use their Spatial Model to run future scenarios.
- The future scenarios allowed quantification of 'headroom' - the incremental sales gained if Levi’s achieve their city market share within each Trade Zone per projected year.
- A rule-based approach was applied to identify and rank new store opportunities and to assess Levi’s existing store network.
- Additional catchment analysis identified footfall generators and amenities within proximity of Centres & TZs.
- The outputs were delivered in MVPLUS; this enabled Levi's to drill-down into the analysis and self-serve their own analysis questions
The Conclusion
GMAP’s Smart Growth List provided Levi’s with a
clear scientific future store network plan to support the local and regional teams in their investment decisions. MVPLUS also allowed them to conduct
further in-house analysis to support their decision-making.
Enquire for GMAP Location Intelligence
Get in touch to find out how our location planning consultancy and location intelligence data and software solutions could support your business.
The Challenge
Levi Strauss were seeking a more scientific approach to understanding the performance of their existing store portfolio and wanted GMAP to create an Ideal Network Plan to help formulate a ‘Smart Growth List’ for future store investment across 50 major cities in China.
The Approach
- The latest demographic, competitor stores, market research and ‘points of interest’ datasets were used to quantify current and future market sizes for the 50 focus cities.
- RetailVision Destinations – Retail Centres and Retail Trade Zones (TZs) – were comprehensively mapped to provide a detailed depiction of China’s retail landscape.
- GMAP’s bespoke Spatial Model was used to estimate the flow of consumer spend within each city to the defined Centres & TZs.
- The market share of Levi's was calculated for each Centre and TZ.
- Future market potential was forecasted using a combination of market trends, future retail and infrastructure developments, such as new shopping malls and underground stations. This enabled GMAP to use their Spatial Model to run future scenarios.
- The future scenarios allowed quantification of 'headroom' - the incremental sales gained if Levi’s achieve their city market share within each Trade Zone per projected year.
- A rule-based approach was applied to identify and rank new store opportunities and to assess Levi’s existing store network.
- Additional catchment analysis identified footfall generators and amenities within proximity of Centres & TZs.
- The outputs were delivered in MVPLUS; this enabled Levi's to drill-down into the analysis and self-serve their own analysis questions
Enquire for GMAP Location Intelligence
Get in touch to find out how our location planning consultancy and location intelligence data and software solutions could support your business.
The Conclusion
GMAP’s Smart Growth List provided Levi’s with a
clear scientific future store network plan to support the local and regional teams in their investment decisions. MVPLUS also allowed them to conduct
further in-house analysis to support their decision-making.