Decision Making Brain is the intelligent processing hub for all external and internal information of the enterprise. Using AI to process exponential quantity of data will deconstruct issues quickly, excavate root causes, and formulate decision suggestions and solid action plan, therefore assisting corporate executives in solving more, broader and uncertain issues efficiently. Meanwhile, Decision Making Brain also assists enterprises with long-term strategic planning through various scenarios simulations and allow decision makers to fully evaluate the advantages and risks of each solution and prepare well for challenges at any time.
Working as the information hub, Decision Making Brain can make staged plans according to the short, medium and long-term objectives, provide real-time forecasts of resource gap and identify essential steps to be taken.
Provide real-time adjustment suggestions after evaluating the current resource allocations such as capital, labor, and locations based on the enterprise development targets.
Analyze the current resources, development plans, factory locations together to provide action plans such as factories and stores set ups.
Calculate the necessary investments for capital provision by enterprises and prevent any shortage of funds during enterprise expansion.
Provides warnings in advance, concerning the lack of certain talents after evaluating the growth requirements and current human resources.
AI can analyze the consumer preferences, the cost fluctuations of raw materials, and competitor strategies of all sales regions in depth to achieve dynamic pricing and maximize the profits.
Dynamic pricing model analyzes various impact factors in real time to set the right price for different customer segments in different time.
Differentiate customers based on location and purchase pattern to create accurate product portfolios.
Forecast sales performance of products according to the sales associated indicators such as macroeconomy, market trends and sales data, and find the next best selling item in advance.
SyGPS™ will analyze profit structure and find the turning point where profit can be increased and cost can be reduced, while providing real-time adjustment recommendations according to the sales fluctuation forecasts.
SyGPS™ will optimize recruitment processes, continuously increase employees’ work efficiency and warn the employees’ terminations in advance that allow talents to perform their best on the most suitable positions in the enterprise.
Combine low and high sales seasons with labor preparations to execute pre-planning and prevent idle or insufficient labor from affecting the normal operation of enterprises.
SyGPS™ can actively search for suitable candidates through keywords and semantic analysis and determine if the job seekers’ personalities match the company’s culture.
To analyze the indicators such as remuneration, vacation frequency, and work performances to calculate the resignation risks of employees to allow supervisors to prepare for talent retentions or talent recruitment in advance.
Not only can AI automatically execute the standardized process, it can also dig up the causes of employees’ underperformance and provides recommendations in real time.