Project Info:
Building a neural network and train it with previous buy & sale data are starting points. This company buying and selling tech devices from/to their customers and product prices may change depends on many factors. The network suggests the next best products and prices for related customer to reduce time for Neafor.
Sync with database to update Neural Network weights.
Scan 10-year data to find best products with prices.
Project Info:
By obtaining previous sales records, selling frequencies of products are calculated depend on various parameters like seasons, easter, Halloween, and Christmas. The application holds quantities of stocks and check whether if buying more is necessary.
4 times faster stocks fetching (Worst case calculation).
Suggestions of popular stocks depend on seasons and events.
Project Info:
Developing a fully responsive and modern website could not be enough. Contents may need to be changed by the time. Content Management Systems may limit users abilities due to restricted usage. CrystaByte provides customisable website with user friendly dashboard. Static websites are not static anymore!!
Customisable Images and Contents.
Fully Responsive and Modern .