“They were getting the data, but were unable to understand driver behavior and forecast demand. Where the chargers are to be installed, and how many. Such insights were needed to maximize revenue. They went live within a month. Every week, they could go and talk to their customers and say this is how your employees are using the chargers. You have less chargers at this location. Formcept helped ChargePoint sell more.”
In the battery monitoring industry, traditionally, they show the electrical values but what would the user do with that? We built a product called Battery Doctor with Formcept. It consumes all the electrical values. Uses AI and ML to process it. And provides recommendations such as: ‘Within the next 4 to 5 months, you need to replace this particular battery in this location”. And here, I am talking of 20 to 30,000 batteries.
As a procurement intelligence company, we deal with a lot of data from multiple different sources and formats. We needed a layer on top of our database that is intelligent enough to understand the data relationships, ‘X data is related to Y, Y it is related to Z.’ That is what enables us to give alerts to users so they make their best next decision.
No, Formcept data management is time-aware by default, and automatically captures an immutable timestamp against each data point.
Absolutely. You can rewind to any point of time, and time-travel your business data by simply specifying the date you want to go back to.
Every change is recorded along with versioning, so you can rewind back to any point in time, and still find the instance of that data and the logs of the changes done.
Yes, Formcept data management platform gives users the knobs to adjust the time field on their own when exploring and analyzing data. No coding or data skills needed.
Yes, through pattern detection and event-based exploration, you can uncover hidden patterns that you may not be tracking otherwise.
Yes, this kind of chronological factkeeping helps fine-tune your AI models, as it gives AI a common structure and an unbroken context of time, to understand and make sense of the story unfolding in your data.
