RetailTech 50 celebrates businesses of all sizes creating original tech solutions for physical retail and eCommerce companies.
Computer vision embarked on big data in many groundbreaking ways. However, it reached its popularity when Google Street View had introduced in 2007. The retail industry has been one of the first industries to make use of this incredible technology. Today, numerous applications of computer vision enhance business processes and provide better service to customers in the retail industry.
For eCommerce platforms, customer data is easy to track, monitor, and use. However, for brick-and-mortar stores, there are fewer options when it comes to data collection. This doesn't mean that collecting and analysing data is impossible. Here are some ways retailers could collect data in-store.
If you are currently considering a more scalable traffic solution, then here are three features to look for:
Rachel Williamson, the chief strategy advisor and founder of Running Great Stores & Aura Vision's CEO, Daniel Martinho-Corbishley, explore how retail store managers can use the holiday season to reposition for high growth into opportunities—if they make bold, data driven decisions.
Aura Vision, a startup providing in-depth analytics to offline retailers, today announces it has raised a $1.1M Seed round, from a mix of angel investors, angel funds and corporate venture funds.
In-Store Optimization (ISO) is transforming the way that retailers look at their physical stores. Many of the processes that were once deemed unscalable can now be rolled out across entire estates.
How customers navigate through your stores has a huge impact on store performance. The concept of the customer journey allows you to visualize the friction points in ‘Customer Experience’ and optimize accordingly.
Sales data provides insights into what customers are buying, but this only represents what is happening after the decision to purchase has been made. Retailers can also benefit from understanding the events leading up to the decision to purchase and this is done by looking at how customers engage with products, spaces, and staff.
The Facebook and Cambridge Analytica incident is just one example in a string of events in recent years that underlines the difficulties of managing information and data privacy in the digital environment.
The World Health Organisation has escalated the coronavirus outbreak from an epidemic to a pandemic. The world is reacting to the spread of the Corona Virus by implementing measures to slow the spread. This is truly a historic moment, with more than a third of the world’s population living under some form of lockdown.
In this blog post, we will be looking at some of the long-term effects to anticipate once the stores re-open. With normal life coming to a rapid stop, is important to remember that this pandemic will come to an end and normal life will return. When it does, it is very likely that the following aspects of retail will change.
While some retailers are seeing decreased demand and customers shifting to online channels, others are facing astronomical spikes in demand. Grocery retailers, in particular, are dealing with significant out-of-stock situations on many key products as consumers hoover up supplies perceived to be essential. The ability to predict and manage demand has never been more important.
Most developed countries are overpopulated with fashion stores. If we had to hazard a guess as to what will change in the world of fashion retail post-COVID 19, it would be that the number of stores will decrease, but the quality of the stores on the high street or in your local mall is more likely to be improved.
Our office had a burning question - who drank all the coffee? We answered this question using computer vision.
Leveraging a network of retail-tech channels creates a connected and tangible shopping experience, and a framework for retail analytics.
Maximize the value of your stores using Aura Vision.
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