Stipra

launched and 80% of them fail. This is confirmed by Nielsen, which

points out that more than 85% of new CPG products fail.

And why? Simply because they lack post-sales data. Instead, they depending on sales data to calculate the next batch. But this is the worst type of data for a new product!

For,

the fact a product was sold to a wholesaler or even to a direct

consumer channel such as a supermarket does not mean it would be sold

again, as it could be that the end consumers did not like the product

and will not repeat the purchase.

Thus, the next batch, depending solely on the number of products sold initially, ends up being too large.

Thus

creating an unnecesary expense in a batch which will not be fully sold,

unsold stock which will not be sold as sometimes it has an expiration

date, return and storage costs, etc

This is one of the issues

that are brilliantly solved by the Stipra ecosystem. For it allows

companies to know where and when their products are being disposed and,

thus, calculate the number of products to be produced for the next

batches.

And it does it by rewarding users with points they can

trade for perks. Thus, consumers are rewarded and companies get a tool

to reduce costs in a new product launch.