PH Informatics

Manufactory & Energy Sector

According to McKinsey advances in AI technologies will enable the industry to leverage rapid growth in the volume of data to optimize processes in real-time. They can shorten development cycles, improve engineering efficiency, prevent faults, increase safety by automating risky activities, reduce inventory costs with better supply and demand planning, and increase revenue with better sales lead identification and price optimization.

Business needs to constantly anticipate the future to gain a competitive advantage. AI allows businesses to provide better forecasts for their supply chain, expected products or services demand and therefore design better offerings. Reliably forecasting demand is a way to use AI's ability to digest disparate data and automatically adjust to new information in near real-time. It can discern trends and patterns that can be acted on.

Our AI predictive analytics products help you to:

Forecast demand for the specific quantities at specific locations

Forecast supply chain & stock size for the specific parts at specific locations to minimize waste, reduce storage costs and material delivery time

Predict sales of maintenance services

Develop new strategies for growth (including prediction of future profitability or forecast demand for your services), client service and cost reduction

Monitor competitive activity and capitalize on existing and potential customers

Discover insights from all relevant past and current performance data with objective, fact-based information to make well-informed decisions through gathering, processing and analyzing data in real-time as it flows through the enterprise.

Our AI prescriptive analytics products help you to:

Improve planning, execution, and assessment of key manufactory & energy business processes, including resource management, staff schedules, assets utilization and services gaps identification

Improve product design yield and efficiency

Prevent theft and fraud through automated computer vision technologies

Enhance and automate supplier assessment, and anticipate parts requirements

Optimize pricing and refine sales-leads prioritization

Applying AI computer vision and analytics capabilities to assurance practices lead to significant performance enhancement combined with cost savings. AI algorithms discover product/services issues in image or video data in near real-time mode.

Our AI descriptive analytics products help you to:

Automate and enhance existing products/services quality assurance programs

Detect anomalies with machine vision quality control system

Any modern equipment contains a network of sensors, providing a stream Big Data of measurements. Understanding sensors data under different conditions, detecting anomalies and forecasts of the system's behavior is key for predictive repair and maintenance which delivers early warnings of failure or required maintenance efforts.

Our AI predictive analytics products help you to:

Create a knowledge database of sensors data, assets conditions and repair cases for the utilized equipment

Implement predictive maintenance for utilized equipment based on equipment deterioration and failure forecasts at certain time and locations

Gauge reliability of integrated assets