Improving accuracy of predictions using seasonal relationships of time series …

This invention describes a computer system that improves predictions for things that change over time, like sales or demand, by analyzing large amounts of data. It works by looking at patterns in this data, especially focusing on identifying and counting periods when demand is very low. The system then uses this information, along with how different data series relate to each other, to create better forecasts.

Why it matters: Since 2018, the widespread availability of advanced machine learning libraries and scalable cloud computing platforms has significantly lowered the barrier to implementing complex time series prediction systems. This makes the specific logic of identifying and leveraging 'low demand periods' as claimed, more practical to integrate into modern forecasting solutions.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software algorithms, big data infrastructure

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10