Benchmarking new store locations based on site scores of existing successful salons
A beauty salon brand wanted to benchmark new store locations based on site scores and location characteristics of existing successful salons.
Case Study
Identifying Optimal Store Locations with Revenue Prediction for a Leading Skincare Brand
A leading skincare brand wanted to assess revenue potential of existing & new stores, prioritise cities for their next set of stores, & identify factors impacting underperforming stores.
Recommending cities and micro-markets for a leading wellness and beauty brand, with revenue range predictions
A wellness and beauty brand wanted site recommendations in high-priority markets with revenue predictions at each location.
“Where” to place new merchandise?
While placing products across stores, intelligent merch-mix and demand prediction answers help you optimise your inventory distribution across stores. This trickles down to improved sales, reduction in dead stock, and inter-store inventory transfers.
Estimating demand for potential new dark stores for a quick commerce brand
The success of quick commerce brands in India is picking up, especially in the metro and tier-I cities. These services have paved their way into the daily functioning of the super-busy working class and are witnessing abundant demand. In an interview with the Business Today Magazine, Deepinder Goyal (Founder, Zomato) exclaimed, “Blinkit will be larger
Premium D2C Furniture Brand’s Expansion to 8 Cities
The brand in this case study is a premium mattress brand offering orthopedic support products. This case study highlights how GeoIQ helped the brand identify its target audience, help understand the revenue potential of a market, and eventually help open new profitable stores. Premiumization of Indian Products India’s consumer demography is evolving. The unprecedented wealth