SERVICES

Consulting & Advisory

We put our wide range of professional services to asset your specific problem or project, providing expertise, analysis and recommendations to your certain objectives and outcomes. While advisory focusing more on guidance, insights strategic advice.

An end-to-end Machine learning systems

It’s a complete pipeline that takes raw data as input, processes it, trains a machine learning model, such as Regression, Classification or Segmentation Clustering, on the processed data, evaluates the model, and deploys it in a production environment.

The system is designed to automate the entire machine learning process, from data collection to model deployment. 

AI Pricing

Setting the right price to maximize revenue and profit while meeting customer demand is quite hard equation and process. With very long pricing experience augmented with AI, we assure to crack and hack that for you with selective or hybrid pricing strategies, including: 

 

» High/low penetration pricing: for the new product or service, high to capture early adopters and maximize revenue, while low to attract customers and gain market share.

 

» Dynamic pricing: adjusting the price of a product or service in real-time based on factors such as demand, competition, and market conditions.

 

» Value-based pricing: based on the perceived value or usability of the product or service to the customer.

 

» Cost-plus pricing: adding or loading a markup to the cost of producing a product or delivering a service to arrive at the selling price.

 

» Risk Pricing: in insurance, statistical or machine learning modeling calculate the risk premium (potential cost of the claim) with respect to the risk factors, such as age, location… then will be loaded with Cost-plus as administrational one. While in financial products, risk pricing is used to calculate the interest rate or return on an investment based on the level of risk involved.

Analytics & Dashboards

Businesses and organizations who looking to clean, transform, visualize, and interpret their data to gain insights integrated with AI and machine learning into their operations and make data-driven decisions. Dashboard provides a quick and easy way to monitor and can be customized to display the specific metrics that are most important to a particular organization or team, such as (KPIs).

Profit Simulation

Type of this stimulation can be done for any sum which comes from varied values of features, such the total expected income from a product or service for a certain fiscal period can be simulated and the price data lines might be composed of many values of features or factors. To calculate the product or service revenue correctly, you should consider how a contract or subscription span exposed to the fiscal period. Total income scenarios is a result of adjusting (parameters) values of the features to reach the targeted income. Imagine that machine learning can reverse that process for you!

P&L Analysis

Financial analysis tool used to evaluate the profitability of a business product, service, or a specific project. The goal of profitability analysis is to determine whether the revenues generated also (simulated) by the business or project are sufficient to cover the costs and generate a profit. The costs can include direct costs, such as the cost of goods sold, as well as indirect costs, such as overhead expenses like rent, utilities, and administrative costs. Analysis metrics are gross profit margin, net profit margin, ROI, break-even. 

Actuarial Work

For insurance companies with traditional robust statistical methods which willing to modernize their method and processes to on time machine learning and neural networks modeling (No more than statistical in the core), but rapid, organised, selective, and validated data pipelines.