Sramana Mitra: Sounds like your customer base is largely in retail and consumer packaged goods. Is that accurate? Joe Shamir: Yes, we are also in other verticals but this is the first verticals where you have this phenomena happening by nature of things.
Sramana Mitra: You’re basically using past promotions and modeling those past promotions in your machine learning algorithms to see how the behavior changes when you run certain kinds of promotions. When another promotion is being run in a similar geography by a similar channel partner, then you’re able to predict demand using those models.
Sramana Mitra: Joe, I’d like to do a couple of use cases because a lot of the things that we are talking about here are fairly complicated. The best thing to do is to just go through a couple of use cases. You can pick whatever customers best illustrate the concepts that we have discussed.
Sramana Mitra: Since you have visibility on the supply chain side of the business, what are the key trends that you’re seeing in the Big Data applications and modeling? Joe Shamir: By the fact that you’re moving closer to the consumer, you are collecting demand data as close as possible to the shelf or to
Machines replacing humans. Similar to what Andrew McAfee and Erik Brynjolfson point out in their article on the decoupling of productivity and job growth, Joe Shamir sheds some light on this trend of process automation within businesses. Sramana Mitra: Joe, let’s start with introducing our audience to yourself as well as to ToolsGroup. Joe Shamir:
Sramana Mitra: In that strategy, were you actually partnering with Salesforce and going to market through the AppExchange? Brad Peters: We were. Salesforce is a fairly hands-off partner. I wouldn’t say that it was a huge help. That has generally been my experience talking to other people. You find Salesforce customers on your own and
Sramana Mitra: Let’s talk about what happens after you did the reset. What was your go-to market strategy with the new horizontal product? Brad Peters: We had to sit down and figure out what the go-to market strategy was going to be. There was a lot of experimentation. We couldn’t make our enterprise product available
Sramana Mitra: What was your original estimate of the TAM for your application in the financial services area? As the market was shifting, what did you estimate it down to that made you explore other verticals? Brad Peters: The TAM for each application was probably $100 million. It had to be $100 million to get