Today, the new product performance forecasting environment is becoming increasingly complex. Currently, the success rate of new products in the market is only around 25%, which is a serious obstacle to many companies' efforts to secure growth engines.
In particular, the rapidly changing consumer preferences and the pace of technological development have reached a level that is difficult to keep up with using traditional market analysis methods alone. In this situation, companies are thinking about how to efficiently utilize the enormous resources that are being invested in the development of new products.
Moreover, as global competition intensifies, the timeliness of new product launches is becoming more important, and this is emerging as a problem directly related to a company's market competitiveness.
These complex challenges are making companies realize the need for more sophisticated and reliable forecasting tools.
Existing market research and statistical forecasting methods cannot keep up with the complexity of the modern market. Research through professional market research agencies costs millions of won per case and takes nearly a month to receive the results.
This traditional approach is a serious constraint in the modern business environment, where quick decision-making is required. Moreover, existing statistical models often rely only on linear patterns in historical data, which often fail to properly reflect rapid changes in the market or new trends.
This, in turn, leads to a significant gap between the actual performance of new products and their predicted performance. In addition, it is almost impossible to analyze various data sources in an integrated manner using the existing method, which means that only fragmented insights can be provided.
Deepflow presents a new paradigm that fundamentally overcomes the limitations of existing methods. It has achieved a prediction accuracy of 90.1%, which has been verified through years of research and development and application of actual cases.
This high accuracy comes from Deepflow's unique technology that analyzes internal and external data of more than 50,000 features in real time. In particular, the AI-based automated data processing system continuously learns new patterns and improves the prediction model without human intervention.
Deepflow detects even the slightest changes in the market environment and reflects them in the prediction model, achieving a high level of accuracy.
It also has a system in place to respond immediately to the ever-changing market conditions through real-time data updates and model retraining.
Deepflow's data integration system collects and analyzes a wide range of information in real time, from transaction data within the company to external market environment data. In this process, data agents automatically verify and standardize the quality of the data, providing a reliable basis for analysis at all times.
The system analyzes the collected data in multiple dimensions to discover hidden patterns and correlations, thereby identifying the key factors that affect the performance of new products.
In particular, Deepflow uses data augmentation technology to supplement insufficient data and perform simulations for various scenarios.
In addition, we are constantly improving the accuracy of our predictions through continuous machine learning model training, which enables more sophisticated predictions over time.
This comprehensive data analysis capability is greatly contributing to minimizing the uncertainty that can occur during the development of new products.
Deepflow's Dynamic Model Competition System employs an innovative method in which more than 200 predictive models compete in real time to derive the optimal predictive results. In particular, it is characterized by its superior accuracy compared to existing statistical methods or general machine learning predictions.
Each model analyzes data through different perspectives and methodologies, and the system continuously evaluates and compares their predictive results.
In particular, the accuracy of the pharmaceutical company's sales forecast for the next month is 90%, which is higher than Microsoft Azure's 64%. In addition, the error rate of new product demand forecast is 0.86 based on MAE, which is much lower than the existing statistical method (1.82) or general machine learning (1.18).
Through this competition process, the model that provides the most accurate prediction is automatically selected, and this is dynamically adjusted according to changes in market conditions.
The models automatically perform learning as new data is introduced, improving their predictive ability, which enables more sophisticated predictions over time.
In particular, by combining the strengths of each model through ensemble learning, Deepflow achieves a level of prediction accuracy that cannot be achieved with a single model. This continuous model improvement and optimization process is a key factor in enabling Deepflow to maintain a high level of prediction performance.
Deepflow goes beyond simple sales forecasting to provide integrated forecasting management across the entire product life cycle. It supports efficient decision-making by providing accurate forecasting information throughout the entire process, from the planning stage of a new product to development, launch, growth, and decline.
The system comprehensively considers various variables that may occur at each stage to derive the optimal response strategy.
In particular, it enables immediate adjustments to product strategies by detecting changes in market conditions or consumer preferences in real time. This full-cycle management system enables companies to proactively respond to market changes, which in turn greatly contributes to maximizing the market performance of products.
In addition, the data and experience collected provide valuable insights for the development of new products, creating a virtuous cycle of continuous performance improvement.
In today's corporate management environment, Deepflow is becoming a key foundation for strategic decision-making, going beyond a simple forecasting tool.
In order to increase the chances of success of new products in a rapidly changing market environment, numerous variables must be considered simultaneously, and Deepflow effectively supports this complex decision-making process.
The accurate forecasting information provided by the system plays a key role in helping companies optimally allocate limited resources and maximize investment efficiency. In particular, it enables companies to proactively identify and respond to competitors' trends and market changes, thereby dramatically improving their market responsiveness.
This strategic advantage leads to sustainable growth and strengthened market dominance. It also contributes greatly to building a stable growth base by minimizing the risks associated with new product development.
Deepflow is an AI solution specialized in demand forecasting. Many companies deal with demand forecasting, but few companies are as specialized in demand forecasting as Deepflow. Deepflow focuses on demand forecasting and is committed to improving the performance of its forecasting models, which is a competitive advantage.
In fact, the application of Deepflow in the process of developing new products has produced remarkable results.
In the past, it took months to identify consumer preferences for individual features, but with Deepflow, we can analyze this in real time and derive the optimal combination of features.
The system accurately predicted how the combination of various functions would be received by the market. This enabled the development team to select and focus on developing highly marketable functions from the product planning stage, which led to a reduction in development costs.
In addition, the marketing strategy established based on Deepflow's predictions accurately targeted the needs of the target customer base, contributing to high sales performance from the initial launch.
These successful cases prove that Deepflow's predictive capabilities can be highly effective in real business environments.
Deepflow is opening up new horizons in predictive technology through continuous research and development. We are constantly upgrading our system in line with the development of artificial intelligence and big data technology, which enables more sophisticated predictions.
In particular, as the development of deep learning technology has made it possible to recognize and analyze more complex patterns, the accuracy of predictions continues to improve.
IMPACTIVE AI, which developed Deepflow, is an AI technology company that is constantly conducting R&D to improve its technology performance, and it particularly values the quantitative and qualitative aspects of its technology.
IMPACTIVE AI has applied for and registered 31 AI patents and has been recognized for its AI technology, winning the best paper award at domestic and international conferences.
The new Deepflow predictive analytics system is constantly evolving through the integration of new data sources and improvements in analysis methods, which is driving the provision of more valuable insights to customers.
These technological advancements are enabling a whole new level of predictive services that go beyond simple performance improvements. In addition, the development of industry-specific specialized models has made it possible to more accurately reflect the unique characteristics and requirements of each industry.
Deepflow is revolutionizing the decision-making process of companies by presenting a new standard for predicting the performance of new products. In particular, its high prediction accuracy of 90.1% is the basis for confidently promoting the development of new products.
In particular, in today's rapidly changing market environment, Deepflow's predictive capabilities are becoming an essential element in strengthening a company's competitiveness. We promise to continue to support our clients in the development of successful new products through constant innovation.
In a situation of increasing market uncertainty, Deepflow will provide more reliable forecasting information to help companies prepare for the future with confidence. Through this, we will become a strong partner for our clients in their efforts to achieve sustainable growth and secure a competitive advantage in the market.
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