We`ve broadly discussed sales forecasting in our data analytics blog. But there is something we didn’t cover up to date and this is demand forecasting. Are there any differences between them? And if yes, how they complement each other.
Imagine you are selling boots and when it gets cold, the boots demand is naturally skyrocketing. This is for sure but if you are a store manager you`d like to have simple answer of a simple question:
How to make proper demand planning that actually works for seasonal businesses and products?
Important trends rarely happens overnight and furniture industry is no exclusion. Overall the market is on the rise with constant growth, esp. on matured markets. The healthy market definitely is good news for furniture retailers and stores, who are a main branch in the selling cycle of the industry. But there are few crucial trends that decision makers should keep an eye on.
A4Everyone stands for analytics is for everyone. It is what we believe in our team and our mission is to bring the benefits of data science to small and medium sized businesses.
Everyone might get leverage from accurate sales predictions. Because it is giving the ability to know what, when and how many to fill your storehouse with. And it is not only this. Business optimization of any kind become possible if it`s based on knowledge extracted from historical data of this very business.