Use AI to reinvent your eCommerce with our Visual Recommendation Engine
- For Retail and eCommerce.
- A B2B client wanted to increase brand awareness with end customers by providing a B2C sales channel.
- Decrease sales cycles in order to reduce the cost of sales.
- Improve brand awareness with end customers.
- Drive top line revenue growth.
- Boost online customer engagement and brand loyalty.
- Implement augmented reality (AR) to visualize a customer’s room and place our client’s products within that room (couches, tables, lamps, etc.).
- Utilize deep learning neural networks to automatically classify the surfaces in a room (floor, countertops, walls, etc.).
- Create deep learning networks that use consumer social media profiles, games, application usage, and geolocation to provide a list of recommended products.
- Combine supervised learning with unsupervised learning to train AI algorithms to classify room scenes.
- Reduce buying paralysis by recommending a select group of products.
- Disrupt and differentiate from competitors by offering visualization technologies that create stickiness with consumers.
- Improve sales experience for consumers within retail stores.
- Increase brand awareness among consumers.
- Increase new leads for eCommerce and online channels.
- Increase conversion of leads to orders.
- Reduce costs related with sales.
- Cut product returns.