THIS IS HOW TO CREATE A PERSONALIZED SHOPPING EXPERIENCE USING VIDEO!

We shoppen steeds vaker online. Voor veel fysieke retailers wordt de uitdaging om bezoekers naar de winkel te trekken daardoor iedere dag groter. Om winkelend publiek toch te verleiden tot een bezoek aan de winkel, is het belangrijk een onderscheidend concept voor een optimale winkelervaring te bieden. Om zo’n concept te creëren is de juiste informatie over de doelgroep onmisbaar. Wist je dat Video AI Analytics hier een belangrijke rol in kan spelen? In deze blog vertellen we hoe dat precies zit.

But before we get into this question, it’s good to take a look at exactly what Video AI Analytics entails.

What is Video AI Analytics?

Video AI Analytics is a video analytics technique that uses algorithms to recognize spatial or temporal events in video images. In doing so, Video AI Analytics is able to distinguish between different objects and recognizes certain activities, patterns or behaviors.

Video AI Analytics for Retail

Where Video AI Analytics is already commonly deployed for securing stores, it can therefore also be very well used for optimizing the store concept. (Real-time) imagery from active (security) cameras is used to gather important insights. With this information, store owners are able to, among other things:

• Provide visitors with a personalized experience
• Store floor and inventory management to be optimized
• Streamline floor plans
• Store design perfectly tunable
• Align promotions and actions with shoppers
• Predict, or influence, shopping behavior

Creating a personalized shopping experience

Providing a personalized shopping experience consists of several elements. These include proper store layout or product placement, but also anticipating customer needs. Image analysis can play an important role in this. Existing video cameras record a lot of footage every day, which is rich in information. Using Video AI Analytics, this footage can be analyzed for important parameters such as occupancy, walking routes, demographics and more. All these insights provide the opportunity to fully optimize and tailor shopping visits to the individual. Think of showing specific advertisements on interactive advertising columns when there are many women or men in the store. Here it is of course important that the collected data is completely anonymized (blur individuals). In this way, privacy is guaranteed for an AVG/GDPR compliant working method.

Product placement optimaliseren

Product placement is an important part of the customer experience. A well-stocked store is central to this. After all, empty shelves do not encourage buying. With Video AI Analytics, store owners are able to automatically monitor product levels and take immediate action when shelves are empty.

Does a store have multiple locations? Test what different store establishments are doing by tracking and comparing shopper behavior. By extracting this information from video footage, guesswork is a thing of the past and you know from hard data whether something is working or not. It also saves a lot of time, because manual, visual monitoring using a Video AI Analytics tool is no longer necessary.

Increased sales through better walking routes

An optimal layout of the store floor is closely related to determining the ideal walking route. Insight into the movement of visitors through the store is worth its weight in gold in this regard. With Video AI Analytics, you are able to determine exactly what the popular routes are. Linking these routes to the most popular products will have an unprecedented effect on conversion and sales.

An optimal layout of the store floor is closely related to determining the ideal walking route. Insight into the movement of visitors through the store is worth its weight in gold in this regard. With Video AI Analytics, you are able to determine exactly what the popular routes are. Linking these routes to the most popular products will have an unprecedented effect on conversion and sales.

How do you successfully deploy Video AI Analytics for a better shopping experience?

When considering deploying a Video AI solution within your company or organization, it is important to keep a few things in mind:

• What are the specific goals for using Video AI Analytics?
• How do you plan to use the data collected?
• How easily does the Video AI Analytics tool integrate with current systems?
• Hoe worden de gegevens beveiligd
• What is the user experience like?

Ultimately, it is important to choose a solution that meets your specific objectives and fits well within your current processes. In any case, we at VAIBS like to think along with you. Our passion lies in helping companies and inspiring them when it comes to the endless possibilities of Video AI Analytics. We like to show how Video AI Analytics can be applied to a wide audience in a practical, accessible way. Wondering what we can do for your organization? Contact us.. Our specialists will be happy to help you.