The challenge of network planning of retail enterprises under the new retail trend From Deloitte Consulting
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The following is the The challenge of network planning of retail enterprises under the new retail trend From Deloitte Consulting recommended by recordtrend.com. And this article belongs to the classification: Deloitte Consulting , Consumer research, research report.
In the complex environment of consumption upgrading and grading, brand retail enterprises actively layout and optimize online and offline business with consumers as the center. However, there are three problems in the retail network planning of consumer goods brand retail enterprises
Enterprises put the cart before the horse to understand the relationship between online and offline development
Lack of initiative in the layout of brand stores under the mode of dealers
The brand lacks systematic data analysis to support the strategic store layout
In order to help consumer goods brand retail enterprises cope with the above key challenges, Deloitte has developed an online and offline integrated city / business district potential prediction model combining network big data and enterprise small data through years of practice in the field of digital new retail, and summarized it as an advanced guide of brand led store layout driven by big data, aiming to help consumer goods retail enterprises realize the key points Transformation and benefit optimization.
In the future, with the blessing of big data, the brand side will no longer stick to the dealer model, and the layout optimization of its stores will gradually shift from passive response, dealer driven, opportunism, experience-based and manual operation to active attack, brand driven, strategic guidance, data-based and relying on tools and system support.
At the same time, big data store layout optimization based on brand characteristics will provide brand-new ideas for brand new retail layout
Brand Customization: the brand can be optimized based on the brand characteristics and development vision, and the forward-looking store development steps are analyzed by closely linking the brand’s growth vision in the next three to five years;
Data integration: through multi-dimensional big data integration analysis, relying on a large number of city attribute and business district attribute data, assist the global in-depth analysis. At the same time, automatic tools are used to support data updating to solve the bottleneck of network layout survey which consumes a lot of manpower and time;
Mode Innovation: under the new mode, the brand will be strategically optimized based on the real market demand; the mode innovation will also promote the direction of the dealers to open stores, and help the brand side to strengthen the control of their own brand.
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