Automating Sales using Math-Based Dida Machine Learning

Enpal required a more effective method of producing bids for potential solar panel buyers in order to maintain this growth

One salesperson needed 120 minutes to do the entire procedure, which made it challenging to scale as the company expanded

Enpal came to us because they realised they needed Their blend of mathematical problem solving and  AI experience

They could easily scale Their utilisation up or down with Compute Engine, so They were only charged for the compute power They actually used

TensorBoard allowed us to keep an eye on each individual training session while They refined Their model

They attained an IoU of 93% during model training, optimisation, and post-processing

Using the help of Their solution and the effectiveness of constructing it using Google  Cloud