Secure the best location for your business. Find the zone with the best revenue predictions and the best connection to restaurants, public transport, and parking spots.
The pandemic changes shopping behavior and mobility.
nioSPOT supports retailers to overcome these challenges.
nioSPOT creates location analyses for retailers
nioSPOT is the location intelligence software for Retailers and chain store owners. With automated location analyses, you find the best locations for your business. Thereby, nioSPOT combines mobility, demographic data, and predictive analyses with detailed information on sales revenue and competition.
New work realities and places of residence lead to a decrease in sales. This forces retailers to move into medium-sized towns and districts.
nioSPOT considers all local indicators and allows holistic location analysis for the retail industry.
You quickly find the perfect location and match your products and strategies to your customer’s buying behavior.
White Paper Location Analyses in Retail
At niologic we are convinced that digital location analyses are a crucial tool, to help retailers adapt to changes in everyday life and shopping behaviors. In our free white paper, we talk about the benefits of digital location analyses, our software nioSPOT, and the underlying technology.
Identify the new hotspots in town. Understand where your customers are and where they are going. Moreover, you comprehend how mobility has changed over the past years.
Additionally, mobility flows and trends can easily be identified. This way, you learn how your customers move.
Identify your city’s spending power. Find the zones with the highest density of stores and activities in mobility, which generate the highest revenues.
Shopper Revenue describes the attainable revenues in each zone. This value is based on the density of POS (stores, restaurants, etc.), transportation, and mobility. In short: The higher your shopper revenue, the bigger the sales potential.
The branch revenue view filters shopper revenue for individual business sectors. This helps you identify where your business is the most successful.
Assess the proximity and connection of existing stores to gastronomy, other stores, and transportation infrastructure.
The value micro-centrality marks a geographical assessment of individual business sectors (e.g. shoe stores).
nioSPOT reviews a store’s proximity to the nearest 10 POS (stores, gastronomy, transportation). The higher the value, the better the connection to your store.
Get to know your local customers and promote the right products at the right location. This allows you to match your products and opening hours to your customer’s demands.
Get the following insights on your customers:
- On zone level: age, gender, diversity, type of household.
- On district level: level of education.
Use nioSPOT for a successful location strategy
98% of CEOs in retail consider location intelligence to be crucial to their business goals.
The majority assume location intelligence to become even more valuable in the following years.
Take the first step now – with nioSPOT.
- automated location analysis
- Save costs for business trips and deliveries
- more targeted address of customers
- location-specific offers based on the local customer behavior
- efficient category management
- increased sales efficiency and higher sales potential
Introducing nioSPOT – location analysis made simple
nioSPOT has been developed due to high demand among leading retailers to help the industry adapt to constant changes with automated location analyses.
Our software automatically scores individual locations. These can easily compared to each other. Additionally, this assessment is supported with predictive analyses and interactive depictions of locations.
Use nioSPOT as your software for location intelligence and create customized location analyses for your retail business.
You identify potentials for revenue increase and perfectly adapt to the demands of local customers. Fast, simple, automated.
nioSPOT uses high resolution data from the following sectors
exclusive, anonymous mobility data of 46 m. users
retail revenue, purchasing power, centrality
commercial rents from the past 24 months projected on a disctrict level
parking spots and public transport
population density, age, education, income
shops and gastronomy on a street and house number level
Use Case: Comparison of locations and competitor analysis
nioSPOT supports chain store owners to find the perfect location. This includes competitor analysis as shown in the following example of the apparel industry in Nuremberg, Germany.
- The analysis shows potential locations (blue) for chain store owners.
- The location of competitors is depicted in red.
- The deeper the red, the more central a competing store is located within a shopping street.