Do custom retail displays help cut through the clutter of product choices? The data says you can bet on it.<\/p>\n","protected":false},"featured_media":821,"parent":0,"template":"","categories":[66,121,123,133,134],"acf":{"is_a_flyer":false,"additional_information":"
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But that wasn\u2019t enough. Certain retail store traits also bore consideration like the store size and its footprint. Vertex analyzed point-of-sale data at each location, noting patterns and shopping preferences.<\/p>\n
One thing stood out: Shoppers at certain stores demonstrated predictable buying patterns that were different than at other stores. By analyzing the store\u2019s location, geography, and population demographics, Vertex data scientists built AI models that clustered stores into groups based on specific characteristics. A busy mother shopping at Walmart has different expectations than her counterpart in Kroger. What works well in Target may be lackluster at Meijer. What appeals to middle-aged shoppers in rural Kentucky doesn\u2019t have the same attraction to millennial shoppers in urban Los Angeles.<\/p>\n
Knowing a few things about consumer background in different stores helped suppliers and retailers design planograms to break through the clutter of choices confronting shoppers. Because our client\u2019s portfolio offered numerous brands and products, Vertex plotted the strongest, most value-based assortment data on different dashboards to demonstrate the power of demographic profiles to derive business decisions. We shared this multi-array analysis with executive-level decision-makers. By using a single application interface, analysts were able to evaluate by retailer past performance and projected trends and impacts.<\/p>\n
In one example, we demonstrated that a specific scent was more favorable in a region of the country for our client\u2019s air fresheners. By being aware of this, our client could plan to send higher quantities and reserve more shelf space \u2013 as well as specify on the planogram where and how this item should be positioned.<\/p>\n
By looking at a region, we could select the retailer and their regions\u2019 attributes we wanted to explore. For instance, how many young parents vs. empty-nesters were there? What was the prominent ethnicity? Presence of children? We worked through a progression of all the variables and could draw accurate conclusions about buyer personas. We were able to cluster stores based upon buying preferences and show how one brand may have a broader appeal than another. A store in a high-income area would benefit by stocking premium brands while a low-income area should focus on value brands.<\/p>\n
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This powerful knowledge helps determine the levels at which different brands are stocked on store shelves, where they are placed, and how much space they get. By increasing the \u201cshoppability\u201d of items at different stores, buyers can easily find the products they\u2019re looking for. And that increases sales.<\/p>\n
Results<\/h3>\n
Over time, our predictions were able to show that our client could expect a sales lift when products and brands that appealed to a store\u2019s demographics were positioned most favorably. The sales percentage could be forecasted. Our client could design displays that attracted their buyers quickly, minimizing moments of indecision when they could select a competitor\u2019s brand.<\/p>\n
Our supplier and its retailers have made better use of shelf space, allotting more room for the products and assortments that are in demand in those areas. Sales were projected to increase in the range of 105-120 IYA and predicted results were achieved in few categories it was rolled out.<\/p>\n
Key Benefits<\/h3>\n\n- Brand and assortment preferences are better represented in stores and regions<\/li>\n
- Sales have increased in all markets<\/li>\n
- Custom product displays cut through competitor clutter<\/li>\n
- Shelf displays positively influence a buyer\u2019s first moment of truth<\/li>\n
- Sales increase in the range of 5-20% in certain categories year over year<\/li>\n<\/ul>\n
\nAbout Us<\/h3>\n
Vertex is a business and technology consulting \ufb01rm that helps customers transform their business processes with leading edge technology. Learn more at www.vertexcs.com<\/a>.<\/p>\nInspire. Innovate. Implement.
\nWe Got IT.<\/h3>\nVertex Computer Systems<\/h4>\n
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About Us<\/h3>\n
Vertex is a business and technology consulting \ufb01rm that helps customers transform their business processes with leading edge technology. Learn more at www.vertexcs.com<\/a>.<\/p>\nInspire. Innovate. Implement.
\nWe Got IT.<\/h3>\nVertex Computer Systems<\/h4>\n