Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 2)

Sramana Mitra: Where is the bulk of your business coming from? Is there a sector that dominates in your success?

Jana Eggers: It’s the large enterprises. We’re talking about the Global 1000.

Sramana Mitra: What industry sector? I’m trying to understand which use case is really dominating.

Jana Eggers: We aren’t saying that this is for retail, and going after retail. We’re overwhelmed with incoming leads. So many of the enterprises today realise that they’re not using their data efficiently and we’re one of those tools that can help them do that. Think of this more as business analytics that’s more of a horizontal.

Sramana Mitra: I understand. I’m sure you understand why I’m asking this question. I want to follow the question up and double-click down on certain areas where you have more perspective and more insights than others. It sounds like you do have a big adoption in the retail recommendation system world. My follow-on question is what is your assessment of the e-commerce recommendation system world?

We cover that world extensively. We know that world, pretty much, inside out. Yesterday at my roundtable, our guest was Raj De Datta from BloomReach who are completely focused on that world and addressing a lot of the same problems. It’s not just recommendation. It’s basically heavy-duty personalisation. I’m curious to see how you map the ecosystem in the retail recommendation system and retail personalization world.

Jana Eggers: I know Raj and I know the company really well. They’re doing a terrific job in that area. We haven’t gone so deep in retail is because there are a lot of people.

Sramana Mitra: It’s a very crowded space. That would have been my next question if you said that was your focus. BloomReach is a winner in that space.

Jana Eggers: They’re doing a great job. It’s not a space that we’re going in. We have folks that look at us and say, “I’m not just looking at the front-end personalization. I also want to do some matching on the back-end.” For example, one of our customers was using another personalization system and implemented us on the front-end personalization side. They actually were doing a few different tools and used us across all their channels. They were using one thing for mobile, another thing for the website. They implemented us to go across all of those channels and saw a 40% lift in their sales.

Since we’re able to provide one-to-one solutions, it’s very much contextual to what’s happening. We would give a different result if someone came on through the website versus came on through mobile. We could see because we did A/B Testing and we could see the result. We were giving more individual distinct recommendation sets compared to other tools they were using. That just shows you that we can go much closer with one-to-one.

On the other side, they all started using us for sourcing. They can see many more of the attributes of the product they were selling and which attributes were important. Rather than going in to some of their vendors and saying, “We have males who are 18 to 25 and they like these kinds of things.” They start coming in and say, “Here are the attributes of products that our audience likes.” They start to sell in a different way using our tool as a matching tool.

This segment is part 2 in the series : Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics
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