Bespoke pricing & POS forecast

Your problem

Calculating costs at the lowest possible granularity (i.e. per meter, per half hour) plays a vital role in helping you develop and maintain competitive energy products. 

However, today’s pricing and CRM systems are not designed to work with the huge amounts of data needed to quote bespoke prices with complex commodity algorithms. 

And because implementing a new product – or even adding some flexibility to an existing one – can take months, you may be managing your bespoke pricing manually.

Manual workarounds increase your cost to serve, and leave room for human error. They also slow down your sales process as it takes longer to get quotes to your customers. Using aggregated forecasts and cost data can speed things up, but your margins might suffer in the long run.

Wouldn’t you like to streamline the process so you can confidently send out bespoke quotes fast?

 

Gorilla is here to help!

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