Zoovu's AI-powered conversational search platform uses natural language processing (NLG) to drive sales conversations between ecommerce companies and their customers.
The company's AI not only engages with customers, but also learns their behaviors and preferences. That's why Zoovu has been used by companies like Amazon, Microsoft, and Samsung to sell more online.
We caught up with Zoovu's marketing director, Ana Sides, to learn more
1. In a single sentence or statement, describe Zoovu.
Zoovu is an AI conversational search platform that is evolving search from keywords to conversations so that customers can find and buy what they are looking for.
2. How does Zoovu use artificial intelligence (i.e. machine learning, natural language generation, natural language processing, deep learning, etc.)?
Zoovu uses natural language processing to drive both structured and unstructured conversations between digital commerce companies and their customers. Using machine learning and a training database of billions of buyer interactions with over 500 product categories, Zoovu can help customers find what they are really looking for using natural language instead of technical jargon and specs.
3. What are the primary use cases of Zoovu for marketers?
Today, over 2,500 brands, retailers, and marketplaces are using Zoovu to help their customers confidently find and purchase products. Results include over 211% conversion improvements, increased order value, fewer returns, and higher NPS scores.
4. Who are your ideal customers in terms of company sizes and industries?
We target with industries that include consumer electronics, manufacturing/industrial goods, health and beauty, home and appliances, and sporting goods. We target company sizes $100 million and up.
5. What makes your AI-powered solution smarter than traditional approaches and products?
Imagine if marketers knew which questions to ask their customers that would have a higher propensity for converting to a sale? Most chatbots that are on the market today driving “conversations” are really just FAQ bots that are providing fixed information based on predetermined dialog flows.
Zoovu dynamically creates the right conversations based on NLP and NLG adjusting to the customer as they progress through their buying journey. In the background, Zoovu is mapping technical specs of products into natural language so the customers can carry out a conversation in human language — not tech specs — and find what they are looking for.
6. Are there any minimum requirements for marketers to get value out of your AI-powered technology? (e.g. data, list size, etc.)
There are no minimum requirements.
7. What do you see as the future potential of artificial intelligence in marketing?
AI will remove much of the mundane and tedious aspects of marketing in the next few years freeing up marketers to refocus on the creativity of marketing and making customers delighted.
8. What do you see as the limitations of artificial intelligence as it exists today?
Data to do training on. With privacy concerns and regulations like GDPR, the amount of information marketers can gather may be limited. AI is most effective with large amounts of data. If this is inhibited, the AI may not be as reliable or accurate.
9. Any other thoughts on AI in marketing, or advice for marketers who are just starting to explore the possibilities of AI?
Marketers shouldn’t be overwhelmed with AI. It’s already in our day-to-day, from getting directions to using Alexa to find a restaurant and make a reservation. It is also not going to replace workers! In fact, AI is going to increasingly become the marketer's best friend when it comes to understanding our customers better and developing new and more brilliant ways to engage with them!
Paul Roetzer is founder and CEO of Marketing AI Institute. He is the author of Marketing Artificial Intelligence (Matt Holt Books, 2022) The Marketing Performance Blueprint (Wiley, 2014) and The Marketing Agency Blueprint (Wiley, 2012); and creator of the Marketing AI Conference (MAICON).