The last time a new generation came into play in the retail world, a lot had to change to accommodate to Millennials' needs. The change wasn’t easy but it came together. Now, the Gen Z are shaking up the market, which means a new wave of change is required.
Gen Z ages can be defined as an overall cohort as 7 to 21year-olds. But for the sake of the world of retail, this article will be focusing on the individuals, within that group, with purchasing power.
Overall, Gen Z have always lived in the internet world and don’t know one without. So their shopping preferences will naturally be located there. Apart from this no-brainer, there are a few things Retailers should know in order attract and seduce Gen Z.
Ranges Performance
From constantly changing prices, availability issues to continuously growing competition, we help teams take the right decision to develop winning category strategies
Promotions Impact
Promotion history, campaign analytics & promotion planning help teams deliver stronger promotions ROI
Shoppers Engagement
We connect shoppers & loyalty data to help Insights & Category Management Teams build compelling shoppers’ strategies
Teams Onboarding
User friendly interface, interactive charts and tables create an intuitive & interactive platform that teams love
Suppliers Collaboration
Internally with your own teams or externally with business partners, share insights and recommendations to establish a common language while maintaining your own segmentation
Data Management
Whatever your data format, granularity level or source, deliver a seamless access to insights & recommendations with automated data ingestion, structuring & cleansing processes
Hypertrade is a retail tech company in Category Management and Shopper Behaviors Analytics. Manufacturers use our platform to manage their multi-retailer data sets and to automate their category management and sales analytics. Retailers use our platform to improve their Commercial offering, collaborate with their suppliers and Engage their Shoppers. Building on Sales, POS & Loyalty data, some of the things we fully automate are:
• Brand& Category Score card
• Brand automatic Diagnostics
• Range Optimization
• Promotion Planning & Forecasting
• Shoppers baskets analysis
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