Why Rely on Time Series Forecasting Services?
The ultimate objective of time series forecasting is to make accurate and reliable projections for future performance based on past trends. Most businesses use up a lot of time working on projections as these numbers are crucial in identifying their business strategy for the coming business year. With accurate forecasting, not only can business greatly reduces the time it takes to make these forecasts but also gain significant advantages like ensuring that ensuring supply of products based on demand, avoiding overstocking, etc
Automated Time Series Forecasting Solutions by Folio3
Folio3’s Time Series Forecasting solution leverages machine learning to process time-series data along with any other additional factors to accurately project outcomes and build forecasts.
Our service only requires you to provide the historical data with more information or data about other factors that may influence the forecasts, for example, demand for a car based on the color and trim, etc. This correlation is hard to predict using traditional methods but can be accomplished with ease by leveraging machine learning.
Time Series Forecasting Solution Use Cases
Folio3’s Time Series Forecasting Services are designed to help businesses across different functions and help them make faster and more data-driven decisions based on accurate forecasts.
Product Demand Forecasts
Accurately forecast the levels of demand for your products using historical data and any other factors that may influence demand.
Make reliable projections for key financial health metrics like revenues, cash flow, expenses, turnover, etc. across different business units.
Maximize revenues and optimize costs by accurately forecasting the level of resources required like staffing, advertising, the raw material for manufacturing, etc.
Why Choose Folio3 as your IBM Watson Partner?
15+ Years of Experience
Folio3 offers extensive expertise and experience by leveraging in-depth industry insight. We help clients achieve maximum potential by predicting loss points and providing actionable vision.
Our team of professionals includes more than 300 skilled developers with the right certifications and qualifications to address your every requirement.
1000+ Enterprise-Level Clients
Our extensive list of satisfied customers includes companies from a wide range of industries both public and private, including healthcare, manufacturing, retail and traffic management.
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Time Series Forecasting FAQs
What is Time Series Forecasting?
- Time Series Forecasting is a predictive model that utilizes a sequence of observations or data taken overtime to project future values. For example, seasonal sales revenue for a type of shirt.
What is the time series forecasting used for?
- Time Series Forecasting can have a bunch of different applications from making predictions about company sales, user growth over time for an online platform, overall business performance, etc.
What are the different time series models?
- Time series data can be based on different models and represent various stochastic processes. There are three broad classifications for time series models, i.e. Autoregressive Models, Integrated Models, and Moving Average Models.