The Challenge
We develop custom time-series prediction models tailored to each client’s unique needs and market conditions. These AI-powered models are designed to go beyond conventional forecasting by incorporating complex data inputs, but also by closely following the exact business task they are assigned to.
- Market Volatility
Decision making for businesses operating on markets means making quick predictions based on large amounts of data. Outcomes are highly volatile, and discerning insights from noise is always a challenge. In many fields of work, even small improvements in forecasting can lead to significant financial gains.
- Inadequate Forecasting Tools
More often than not, we find clients using either outdated forecasting methods or available AI tools that give insights about general metrics, but do not mimic client’s business decisions. This mismatch necessitates additional interpretation, leading to inefficiencies and a disconnect between data insights and actionable business outcomes.
- Manual Processes Draining Resources
Without a reliable, automated system in place, teams face manual, time-consuming forecasting tasks. This inefficiency limits their ability to focus on strategic initiatives, as a significant amount of time and resources were spent trying to make sense of complex data sets and shifting market dynamics.
The duration of these manual tasks is often time-consuming, preventing the teams to wait for the most recent data, which is often the most important for the decision making.
The Solution: Bespoke Time-series Models Closely Aligned with Business Needs
From electricity day-ahead markets to classifying stock market trading decisions, every time-series task has its own peculiarities. Sometimes, it is not a value that needs predicting, but a simple signal if a certain decision should be made at a certain moment. Sometimes the time series data needs remodeling to make sense or the effects of overprediction are not the same as the effects of underprediction. And sometimes the action signals that you are trying to find are so rare that traditional AI models find it too risky to try to mark them at all.
We develop custom time-series prediction models tailored to each client’s unique needs and market conditions. Our AI-powered models are designed to go beyond conventional forecasting by incorporating complex data inputs, but also by closely aligning with the specific business objectives they’re designed to achieve.
Through extensive research on user data, testing various statistical and deep learning architectures, and carefully modeling metrics and objective functions to mimic business goals, we ensure that the AI model selected is the perfect fit for the task at hand.
The Results
- Huge Cost (and Time) Savings
Our tailored AI solutions dramatically reduce the time and resources spent on manual forecasting tasks, allowing for more recent data points to be used and freeing teams to focus on higher-value activities.
- Better Decision Making
With predictions that are closely aligned with business goals, our clients make more informed, timely decisions that directly impact their bottom line.
- More Time to Focus on the Strategic Initiatives
Automating the most tedious and time-consuming tasks allows teams to shift their focus from data crunching to pursuing the company’s core mission, driving long-term success.
