Time Series Forecasting

Time Series Forecasting

Get any data at continuously different time intervals and make the predictions you need, and Amazinumu’s team will help you with this.

Get any data at continuously different time intervals and make the predictions you need, and Amazinumu’s team will help you with this.

What is Time Series Forecasting Services?

Time series forecasting

involves the process of collecting historical data, analyzing it, using statistics and modeling for forecasting, and predicting extreme values. This kind of forecasting doesn’t give you a complete prediction of the future, but it does give you an idea of what outcomes are more or less likely. In this case, the more accurate data our specialists have, the more accurate the forecasts will be. Forecasting is often used with time series analysis. In this case, Time Series Analysis involves developing models to understand the data, and Forecasting analyzes the subsequent role of this data with predictable extrapolations of future events.

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Types of Time Series Forecasting Services
we are experienced in:

There are several types of time series forecasting. The use depends directly on the
data we will be dealing with. In general, the following are distinguished:

There are several types of time series forecasting. The use depends directly on the data we will be dealing with. In general, the following are distinguished:

Univariate Forecast Services

Univariate Forecast includes only one variable that depends on time. An example of use cases for this type is tracking hourly temperature values for a certain region and future forecasts. Thus, using historical data to track temperatures is one-factor time series forecasting.

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Multivariate Forecast Services

Multivariate Forecast consists of several variables. Each of the variables is not only dependent on its past values, but also has some dependence on other variables. Such dependence is useful for the prediction of future values.

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Predict the Future with Confidence:

Get Started Time Series Forecasting Solutions with Amazinum Today!

Predict the Future with Confidence:

Get Started Time Series Forecasting Solutions with Amazinum Today!

Business value of Time Series Forecasting Services

01

Identification of trends and threats

With Time Series Forecasting, you can forecast trends in your profits and prevent losses. Our Data Scientists will do everything possible to help you get the information that will help your business avoid unnecessary costs, while directing resources in the right direction. Also, on the basis of data from time series, you can set reasonable goals, accurately draw up a budget and make balanced and considered decisions.

02

Understanding the driving force

Time series will also help you understand the underlying components and factors affecting your business. This will give you the opportunity to better understand the cause of all processes and phenomena that affect the vital activity of your business.

03

Hypothesis testing

With autocorrelation and cross-correlation, our Data Scientists will provide you with information about the relationships between observations in time series data. Thus, thanks to regression modeling, you will be able to test hypotheses without risk to the business.

04

Detection of anomalies

Time series monitoring will give you access to important data such as Changed Behavior, Level Shifts, Outliers, and Anomalous Patterns. This will allow you to make informed decisions and notice any minor changes that may negatively affect your business.

Use cases of Recommender Systems

Manufacturing

By examining trends in maintenance requirements and equipment downtime, manufacturers can better plan their maintenance and downtime schedules. To help manufacturers improve the efficiency of their processes, you can also analyze production patterns to find bottlenecks and inefficiencies.

Manufacture icon

Fintech

Knowing when to buy and sell stocks depends on the ability to forecast stock prices using historical data. You can evaluate the risk involved with different investments by using the same techniques to evaluate stock price volatility. You can optimize the mix of assets in an investment portfolio to increase your chances of maximizing return and lowering risk by looking for trends in the returns of various asset classes, such as stocks, bonds, and commodities.

Fintech icon

Logistic and Delivery

Time series analytics allows you to examine trends in traffic flow and congestion over time and pinpoint the variables that affect them. This includes traffic pattern analysis. This is a crucial method for engineers and planners of public transportation systems to create more effective roadways and networks. Optimizing the schedule: Transportation companies need to know when their peak days, hours, and seasons are, just like retail establishments, to supply the demand (in this case, by adding more routes during those times)

Shipping icon

E-commerce and retail

Marketers frequently use data to gauge the success of their initiatives, but data by itself frequently falls short of painting a whole picture. Marketers can better understand what drives sales outside of a campaign by accounting for seasonality and other trends. Forecasting demand and/or trends: Using your historical sales data, time series analytics can assist you in projecting future sales performance. This will assist you in organizing your budget, personnel, promotions, and inventory for the entire year. You can optimize your marketing and customer support resources for peak activity if you can identify patterns in customer behavior, such as purchasing habits or website usage.

E-commerce & Retail icon

Education

You can find the variables that could affect a student’s performance over time by using time series analytics. Educational institutions can forecast and plan for future enrollment by utilizing their historical enrollment data. Time series forecasts can also assist you in keeping track of trends in education, such as the proportion of students pursuing a specific subject or preferring a specific type of learning environment (in-person, remote, asynchronous, etc.). Schools can then ensure that they are offering the courses and programs that students are interested in.

Education icon

Weather conditions and environment

Weather forecasts will be more accurate the closer they are to the relevant data and the more data they have overall. Environmentalists can map climate change and pinpoint related trends and cycles by examining historical patterns in temperature and other climate data. Since natural disasters, such as hurricanes and earthquakes, also follow cycles, you can utilize historical data to predict when the next one is likely to happen and make appropriate preparations.

Weather conditions and environment icon

Manufacturing

By examining trends in maintenance requirements and equipment downtime, manufacturers can better plan their maintenance and downtime schedules. To help manufacturers improve the efficiency of their processes, you can also analyzeManufacture icon production patterns to find bottlenecks and inefficiencies.

Fintech

Knowing when to buy and sell stocks depends on the ability to forecast stock prices using historical data. You can evaluate the risk involved with different investments by using the same techniques to evaluate stock price volatility. You can optimize the mix of assets in an investment portfolio to increase your chances of maximizing return and lowering risk by looking for trends in the returns of Fintech iconvarious asset classes, such as stocks, bonds, and commodities.

Logistic and Delivery

Time series analytics allows you to examine trends in traffic flow and congestion over time and pinpoint the variables that affect them. This includes traffic pattern analysis. This is a crucial method for engineers and planners of public transportation systems to create more effective roadways and networks. Optimizing the schedule: Transportation companies need to know when their peak days, hours, and seasons are, just like retail establishments, to supply theShipping icon demand (in this case, by adding more routes during those times)

E-commerce and retail

Marketers frequently use data to gauge the success of their initiatives, but data by itself frequently falls short of painting a whole picture. Marketers can better understand what drives sales outside of a campaign by accounting for seasonality and other trends. Forecasting demand and/or trends: Using your historical sales data, time series analytics can assist you in projecting future sales performance. This will assist you in organizing your budget, personnel, promotions, and inventory for the entire year. You can optimize your marketing and customer support resources for peak activity if you can identifyE-commerce & Retail icon patterns in customer behavior, such as purchasing habits or website usage.

Education

You can find the variables that could affect a student’s performance over time by using time series analytics. Educational institutions can forecast and plan for future enrollment by utilizing their historical enrollment data. Time series forecasts can also assist you in keeping track of trends in education, such as the proportion of students pursuing a specific subject or preferring a specific type of learning environment (in-person, remote, asynchronous, etc.). Schools can then ensure that they are offeringEducation icon the courses and programs that
students are interested in.

Weather conditions and environment

Weather forecasts will be more accurate the closer they are to the relevant data and the more data they have overall. Environmentalists can map climate change and pinpoint related trends and cycles by examining historical patterns in temperature and other climate data. Since natural disasters, such as hurricanes and earthquakes, also follow cycles, you can utilize historical data to predict when theWeather conditions and environment icon next one is likely to happen and make appropriate preparations.

Predict the Future with Confidence:

Schedule a Consultation with Amazinum Specialists!

Companies that already use Time Series Forecasting Services

Large and successful companies have long been using NLP to improve their business and make it more efficient.

Cisco Meraki

For network performance analysis, traffic pattern prediction, and networking hardware deployment optimization, Cisco Meraki uses time series forecasting.

Salesforce

To predict sales, estimate revenue, and assist companies in making decisions, Salesforce integrates time series forecasting into its CRM platform.

Procter & Gamble (P&G)

P&G optimizes product distribution and production by using time series forecasting for demand planning in the consumer goods sector.

Intel

Time series forecasting is used by Intel to optimize computer chip production schedules through demand planning in the semiconductor industry.

Delta Electronics

Time series forecasting is used by Delta Electronics to forecast how much energy electronic devices will consume, optimize power supply options, and increase energy efficiency.

Delta Airlines

Time series forecasting is used by Delta Airlines to manage crew assignments, optimize flight schedules, and anticipate passenger demand.

Siemens Healthineers

Time series forecasting is used in healthcare by Siemens Healthineers to forecast patient admission rates, optimize resource allocation, and boost hospital productivity.

Johnson & Johnson

For demand planning, supply chain optimization, and inventory management, Johnson & Johnson uses time series forecasting in the pharmaceutical and healthcare sectors.v

GE (General Electric)

Time series forecasting is a tool used by General Electric to minimize downtime, maximize industrial machinery performance, and anticipate equipment maintenance needs.

Johnson Controls

Time series forecasting is a tool used by Johnson Controls in building automation to forecast demand for heating and cooling, optimize energy use, and raise overall building efficiency.

Intel

Time series forecasting is used by Intel to optimize computer chip production schedules through demand planning in the semiconductor industry.

Delta Electronics

Time series forecasting is used by Delta Electronics to forecast how much energy electronic devices will consume, optimize power supply options, and increase energy efficiency.

Delta Airlines

Time series forecasting is used by Delta Airlines to manage crew assignments, optimize flight schedules, and anticipate passenger demand.

Siemens Healthineers

Time series forecasting is used in healthcare by Siemens Healthineers to forecast patient admission rates, optimize resource allocation, and boost hospital productivity.

Johnson & Johnson

For demand planning, supply chain optimization, and inventory management, Johnson & Johnson uses time series forecasting in the pharmaceutical and healthcare sectors.v

GE (General Electric)

Time series forecasting is a tool used by General Electric to minimize downtime, maximize industrial machinery performance, and anticipate equipment maintenance needs.

Johnson Controls

Time series forecasting is a tool used by Johnson Controls in building automation to forecast demand for heating and cooling, optimize energy use, and raise overall building efficiency.

Amazinum Portfolio

Check out a few of our recent projects

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Advantages of engaging the Amazinum company

7

Years

We offer you our 
7 years of expertise in data science.

40+

ML Engineers

We have a large talent pool of 
highly-skilled ML engineers of Middle and Senior-level professionals.

16

Active Projects

Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.

We develop unique solutions created for a specific project and client’s requirements.

The Amazinum team takes market features and micro and macro risks in the development of POCs in order to optimize your efforts and resources.

We take care of the qualifications of each specialist we offer for the project. Due to the presence of more than 40 specialists, we select a Data Scientist who has experience in a specific domain with specific technologies.

You may not worry about the employee if the case of termination or suspending of assignment, as well you don’t need to hire the specialist in advance in cases of uncertain project start

Advantages of engaging the Amazinum company

7

Years

We offer you our 
7 years of expertise in data science.

40+

ML Engineers

We have a large talent pool of 
highly-skilled ML engineers of Middle and Senior-level professionals.

16

Active Projects

Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.

We develop unique solutions created for a specific project and client’s requirements.

The Amazinum team takes market features and micro and macro risks in the development of POCs in order to optimize your efforts and resources.

We take care of the qualifications of each specialist we offer for the project. Due to the presence of more than 40 specialists, we select a Data Scientist who has experience in a specific domain with specific technologies.

You may not worry about the employee if the case of termination or suspending of assignment, as well you don’t need to hire the specialist in advance in cases of uncertain project start

Our Industry Focus

Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.

SEO & Advertising icon

SEO & Marketing

Healthcare icon

Healthcare

Safety & Security

Sport icon

Sport

E-commerce & Retail icon

E-commerce & Retail

Gambling and Casino icon

Gambling and Casino

Manufacture icon

Manufacture

Ecology icon

Ecology

FinTech

Energy icon

Energy

Localisation icon

Localisation

IoT icon

IoT

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

Vitaliy Fedorovych contact us photo

Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

Click or drag a file to this area to upload.

Contact Us

Click or drag a file to this area to upload.

Vitaliy Fedorovych

CEO, Data Scientist at Amazinum

Vitaliy Fedorovych contact us photo

Hello there!

Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together

Contact Us

Click or drag a file to this area to upload.

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