PH Informatics

Artificial Intelligence Products

AI has progressed in recent years, especially through the development of deep machine-learning and reinforcement-learning techniques based on neural network, available computing capacity, and Big Data. Many data science tasks, previously based on large resources and time investments, became available for a wide range of users, including small business or even individuals.

Some of the AI implementation gains come from labor substitution, but automation also has the potential to enhance productivity, raise throughput, utilize computer vision, improve predictions, outcomes, accuracy, and optimization.

Healthcare

According to a recent poll, more than 50% of global healthcare leaders expect an expanding role of AI in monitoring and diagnosis. U.S. medical expenses reached $3.3 trillion in 2016 with a projected growth up to $5.2 trillion in 2020. The key to the meaningful industry transformation lies in the use of data science.

Service Business

According to McKinsey AI-based approaches to demand forecasting may reduce forecasting errors by up to 50% from conventional approaches. Lost sales due to product unavailability can be reduced by up to 65%. Transportation, warehousing and supply chain administration costs are expected to decrease up to 25%, respectively.

Manufactory & Energy

The AI technology is being used to improve all aspects of manufactory and energy industries to reduce labor costs, product defects, shorten unplanned downtimes, improve transition times, and increase production speed. The so-called "smart manufacturing" is projected to grow up to over $320 billion by 2020.

Turn Data Into Value

Accurate demand prediction

Optimal stock size prediction

Data mining and investigations

Smart automation for industry 4.0

Automated quality assurance

Computer vision technologies

Predictive maintenance techniques

Maximize revenue and gain growth

Reduce lost sales and increase availability

Optimize operations and resources

Make fact-based informed decision

Ensure personolized services and engagement

Reduce unnecessary costs

Healthcare Sector

Healthcare industry is traditionally data-intensive and data-driven industries. As much as 30% of the entire world's stored data is generated in the healthcare industry. The need for accurate and reliable operational benchmarks has never been greater. Hospital executives, medical officers, and management teams are under constant pressure to balance operational efficiency with increased financial profitability and continued efforts to improve patient care quality. Action-driving insights that can help you better position your organization to assess and manage risk, utilization and quality performance can be achieved with implementing machine learning techniques for data analytics.

Health organizations need 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 resulting in an increase in patient access (accommodation of more patients, sooner) and revenue.

Our AI predictive analytics products help you to:

Forecasting demand for the specific quantities of specific medical services at specific locations

Forecasting stock size for the specific medical products at specific locations to minimize waste, reduce storage costs and ensure always-in-stock for all vital components

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

Define patient profiles, potential markets, service locations

Implement predictive maintenance for utilized medical equipment based on deterioration and failure forecasts

Monitor competitive activity and capitalize on existing and potential customers

Optimize pricing and tailor website displays in real-time

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. At the moment, clinicians spend about half of their time on administration, data entry, and documentation and only 33 percent of the day face-to-face with patients. Analyzing all aspects of care delivery also allows to evolve from volume- to value-based care and thrive in the pay-for-performance environment.

Our AI prescriptive analytics products help you to:

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

Identify your most, and least, costly and profitable services, boost utilization of your most efficient departments

Reduce lost sales due to medical service unavailability

Adapt therapies and drug formulations to patients

Enhance and automate medical services quality assurance programs to maintain the highest standards of medical care

Improve point-of-care decision-making with evidence-based clinical decision support system, including advices on prescriptive decisions and treatment plans, based on organization standards and practices

Many diagnostic tests require manual inputs and analysis, making them time consuming, expensive and leaving room for human error. Embedding AI into diagnostics removes opportunities for human error and saves clinical labs time and money.

Our AI comparative and descriptive analytics products help you to:

Implement predictive maintenance for laboratory equipment based on deterioration and failure forecasts

Automate diagnostic tests and make them faster and more accurate

Forecast stock size for specific laboratory consumables at specific locations to minimize waste and reduce storage costs

Perform laboratory diagnostic quality checks utilizing statistical methods and automated anomalies detection

About 5 percent of adult patients are misdiagnosed each year in the US. The postmortem examination results research shows that diagnostic errors cause approximately 10 percent of patient deaths. It is well known that radiologists differ not only from one another in image interpretations, even the very same examiner may come to different conclusions when a reading is repeated. If only images that actually show pathological changes are considered in the error analysis, the error rate rises as high as around 30%, meaning that in three out of 10 cases pathological structures are either incorrectly interpreted or simply overlooked (false negative findings).

AI raises analysis and interpretation of digital medical images to a whole new level compared with the older algorithms. Combined with AI prescriptive analytics capabilities it leads to significant performance enhancement for healthcare assurance practices.

Our AI descriptive analytics products help you to:

Automate and enhance existing products/services quality assurance programs

Automate digital medical images analysis

Automate delivery of the second opinion for doctors at any location

Facilitate standardization: care variability reduction efforts and, therefore, costs

About 50% of the population by 2020 is anticipated to have 1-2 chronic diseases. Models predicting chronic disease progression are used for disease management and planning. Such models predict the trajectory of a patient's condition to help clinicians decide whether and when to proceed to the next stage in their medical care. Predictive models also notify clinicians about patients who may require interventions to reduce the risk of negative outcomes. These predictions, along with the key factors driving the prediction, are presented to clinicians who can decide if certain interventions might help reduce the patient's risk.

Our AI descriptive and predictive analytics products help you to:

Identify anomalies and deviations in near real-time mode

Provide risk-assessment of disease progression based on electronic health records, diagnosis results, personal social and behaviors factors

Predict trajectory of chronic patients' conditions over time

Care personalization through artificial intelligence insights paves the way for quantitative, personalized diagnostics tailored to the person's health needs, including best patient-specific intervention approaches. Custom-tailored algorithms increase diagnostic accuracy, identify at-risk patients, improve patient monitoring efficiency. AI allows incorporating both clinical and nonclinical information into your analyses to identify patient preferences and specifics. The promise of personalized medicine is a world in which everyone's health recommendations and disease treatments are tailored based on their medical history, genetic lineage, past conditions, diet, stress levels, and more.

Our AI descriptive and predictive analytics products help you to:

Predict patient trajectory over time and discharge to facilitate preventive care delivery

Launch prevention therapies

Focus on patients' risk reduction

Provide wellness monitoring in addition to treatment, enabling proactive care options and preventive health care (50%+ of smartphone owners are estimated to download health apps by 2018)

Any modern laboratory and medical equipment contain 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 are keys 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 medical and laboratory equipment based on equipment deterioration and failure forecasts at certain time and locations

Gauge reliability of integrated assets

Facilitate patient engagement includes a broad range of tasks, from clients profiling and identification of high-risk patients who need care management to patient outreach and online patient communications that enable patients to become full partners in their own care. An artificial intelligence system is capable to study the results of previous communication efforts with similar clients and identifying the most effective approach and content for each patient. Patients who understand their conditions, medications, and treatment are more likely to seek out care when needed, participate in it more fully and be more satisfied with their healthcare experience.

Our AI descriptive analytics products help you to:

Improve the efficacy of automated outreach clients, personalize them, taking into account each person's preferences, and how and when that person prefers to receive what information

Optimize personalized promotions

Provide services for self-check of some conditions including computer vision-based apps

Clinical studies help in connecting research and patient care by evaluating therapies, drugs and diagnostic tools to drive discoveries into clinical practice.

Our team can reinforce your in-house team with AI capabilities as well as provide expertise, technologies, and support for R&D activities

Android Application Field Test in Tanzania

Meeting with Chief Veterinary Officer in FAO Headquarters in Italy in 2015

Epidemiology Surveillance System Implementation in RF in 2016

Meeting with Head of Division of Information in WHO Regional Office for Europe in Copenhagen in 2012

Participating SACID One Health Forum in Johannesburg in 2012

Delegations from DTRA and CDC Inspect Implementation in Kazakhstan in 2012

Trainees Finished Training Courses in Armenia in 2016

Service Business Sector

Service business is one of the largest industries in the world. The benefits of AI-enabled demand forecasting are impressive in service business and retail. With the help of artificial intelligence, consumers are experiencing a whole new way of shopping both online and in stores. AI in service business and retail is being applied in a number of ways - from before a sale to after products or services is purchased.

Cleaning services

Following services are available for cleaning business, including house-cleaning companies: demand forecasts, stock size predictions, data mining, and smart automation, including computer vision

Education services

Following services are available for education business, including schools, universities, training centers: demand forecasts, data mining, and smart automation, including computer vision

Accommodation services

Following services are available for hospitality business, including hotels, coworkings, resorts: demand forecasts, stock size predictions, data mining, smart automation, including computer vision, quality assurance, and predictive maintenance

Tourism services

Following services are available for tourism business, including travel agencies: demand forecasts, data mining, smart automation, including computer vision

Food services

Following services are available for food business, including restaurants, cafe, bars: demand forecasts, stock size predictions, data mining, smart automation, including computer vision, quality assurance, and predictive maintenance

Personal services

Following services are available for personal services business, including barber shops, haircuts, massages: demand forecasts, data mining, and smart automation, including computer vision

Transport services

Following services are available for transport business, including rentals, trucking: demand forecasts, stock size predictions, data mining, smart automation, including computer vision, quality assurance, and predictive maintenance

Entertainment services

Following services are available for entertainment business, e.g. theaters, concert halls, exsibitions, museums: demand forecasts, data mining, and smart automation, including computer vision

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 of specific products/services at specific locations to apply smart prices' adjustment/discounts, ensuring maximum products/services realization with minimum lost sales

Forecast stock size for the specific products/services at specific locations to minimize waste, reduce storage costs and ensure always-in-stock approach, anticipating sales trends and pre-order more soon-to-be-popular items

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

Define clients profiles, potential markets, service locations

Monitor competitive activity and capitalize on existing and potential customers

Optimize pricing and tailor website displays in real-time

Our AI prescriptive analytics products help you to:

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

Identify your most, and least, costly and profitable products/services

Reduce lost sales due to product unavailability

Prevent theft and fraud though automated computer vision technologies

Decrease costs related to transportation, warehousing and supply chain administration

Optimize merchandising, product assortment and micro space

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 are keys 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

An artificial intelligence system is capable to study the results of previous communication efforts with similar clients and identifying the most effective approach and content for each patient. Look at all available data that have not been studied before, thereby opening up a whole new set of analysis opportunities to spot previously unknown patterns, identify key relationships and uncover insights that would otherwise stay hidden.

Our AI descriptive analytics products can help you with the following tasks:

Improve the efficacy of automated outreach clients, personalize them as much as possible, taking into account each person's preferences, and how and when that person prefers to receive what information

Optimize personalize promotions

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.

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

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

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

Our Services

Artificial Intelligence R&D Services

Strengthen client's in-house team with AI capabilities, expertise and tools

ETL (Extraction, Transformation and Loading) Services

Manage Big Data in a meaningful way with focus to client's needs

Integration Services

Integrate Information Technology and Artificial Intelligence solutions with the existing client's environment

Training Services

Comprehensive Information Technology and Artificial Intelligence training services from program and curriculum design, to training planning and delivery

IT Solutions Design & Development

Design, development and implementation for local and global clients with agile practices

Artificial Intelligence Background

As-A-Service

Easy and quick to start
Modest investments at the beginning
Get results right away from the experts
Cloud or on-premises environment
Always be up-to-date with the most advanced methods and tools

In-House*

Full flexibility in selection of algorithms, tools and technologies
All data stays in house
High initial investments with long learning curve
Postponed in-time results
High costs of AI environment maintenance and operation
High risk of low performance outcome and unclear ROI

*In-house AI development strategy for some tasks may not be possible for small companies due to lack of resources, datasets and pre-trained analytic models.

Glossary

Data Science - An interdisciplinary field of methods aimed to extract knowledge from data.
Big Data - A large volume of data - both structured and unstructured – that may be analysed computationally to discover knowledge.
Data Mining - A process for turning raw data into useful information, like finding valuable connections across many different kinds of data, detects patterns, relationships, correlations, temporal events, historical trends and make predictions.
Artificial Intelligence (AI) - A computer-aided process for solving complex problems, including data mining, that are normally reserved for humans.
Machine Learning (ML) - An AI's approach that enables systems to learn and improve from experience on its own without being explicitly programmed. Distinctions are made here between classic algorithms which follow paths that are permanently fixed by the programmer, and applications of machine learning which identify solutions independently based on supplied data.
Deep Learning Neural Networks - A specific subfield of machine learning employing successive layers of data representations performed automatically.

e-Health Solutions

Epidemiological Surveillance System - EpiS

EpiS provides streamlined epi data collection and sharing, real-time monitoring of the epidemiological situation and responsive measures, analysis, forecasting and risk-management within One Health concept, integrating human, animal, vector and environmental surveillance, in compliance with the IDSR framework.

The system is based on an open-source initiative started in 2005, which incorporates 10+ years of international expertise, including OIE, FAO, WHO, CDC, and was implemented nationally at more than 950 locations in Armenia, Azerbaijan, Georgia, Iraq, Kazakhstan, and Thailand. It is officially recognized as the national disease surveillance by a number of ministries of the respective countries and has collected over five hundred thousand cases of human and veterinary diseases.

EpiS creates one integrated information environment connecting officers and primary health care facilities with diagnostic laboratories and authorities up to the ministry level to share urgent notifications, laboratory data, case investigations and updates in real-time mode. All information is collected in one joint data bank available for analysis and reporting.

Emergency Operations Center displays real-time epidemiological situation linked to exact locations, thresholds, discovered aberrations from historical data and syndromic surveillance information facilitating early outbreaks detection and timely responses.

The epidemiological analysis gives a complete picture of the epidemiological situation, considering disease-specific factors, supports monitoring of schools and other public organizations, management of quarantine, automatic thresholds adjustments, the basic statistical analysis in real time mode, helping to discover disease patterns, supporting epi investigations and response measures planning.

Monitoring of the field offices' performance can be improved with a set of indicators on completeness, quality, and on-time completion of notification and investigation forms.

Embedded business rules and over 120 built-in look-up tables significantly reduce the time to complete the forms and minimize human errors during routine operations, which improves epidemiological data quality.

Forecasting and risk management tools allow timely detection of threats, objectively evaluate risks by territories and take in-time preventive measures based on the consolidated analysis of the sanitary-epidemiological, socio-economical and retrospective data for priority diseases. This instrument helps in establishing timely preemptive measures as opposed to dealing with the outbreak consequences.

A variety of available platforms, including desktop, web and mobile solutions, and wide utilization of Open Source technologies make EpiS suitable for resource-limited environments. The data is locally hosted on a central server placed in the country. The system utilizes encrypted Internet channels, which is the best economical solution as opposed to obsolete paper, voice or SMS technologies.

EpiS can be tailored to local needs and priorities through the customization process. Up to date, seven customization packages have been developed, which include the translation into eight languages, different disease lists, case definitions, maps, official report forms and other settings. Mature customization process allows rapid and effective system configuration for new countries and requirements.

Comprehensive training program utilized for training of over 5,000 professionals on epidemiological, veterinary, laboratory, analysis and administrator's courses based on the train-the-trainer, computer based training and remote training approaches designed to minimize training costs and increase efficiency. The program includes plans, training materials, exercises and trainer's guides for establishment of a self-sustained training program.

Sustainment Plans and Standard Operating Procedures (SOP) help the authorities prepare system support, maintenance, develop budgets and establish SOPs and other guiding documentation for operations.

EpiS Modules

Human Disease Surveillance

Traditional and Syndromic Surveillance
Urgent Notifications with deduplication
Aggregate Disease Cases
Epi Investigations
Schools, Kindergartens, Welfare Register
Quarantine and Outbreak Management
Integration w/ Primary Healthcare
Sample, Test Results, and Interpretations Tracking

Veterinary Disease Surveillance

Passive and Active Surveillance
Urgent Notifications
Aggregate Disease Cases
Case Investigations and Outbreak Management
Farms, Herds/Flocks, Individual Animals Register
Campaigns and Active Surveillance Sessions
Animal Identification System
Sample, Test Results, and Interpretations Tracking

Laboratory

Materials, Samples, Aliquots, Derivatives, Strains
Registration, Placement, Barcoding
Processing, Transfer, Destruction
Batch Operations
Individual and Group Test
Test Results
Link to Disease Cases

Vector & Wildlife Disease Surveillance

Active Surveillance Sessions
Aggregate Data
Detailed Vector Information
Detailed Wildlife Information
Outbreak Management
Sample, Test Results, and Interpretations Tracking

Enviromental & Phytosanitary Surveillance

Active Surveillance Sessions
Aggregate Data
Enviromental Factors
Plants Details
Outbreak Management
Sample, Test Results, and Interpretations Tracking

Emergency Operations Center & Analysis

Real-Time Monitoring
Customized Notifications
GIS Mapping
Geospatial Analysis
Joint Human, Vet, and Vector Data Analysis
Consolidated and Detail Data
Aberration Detection and Thresholds Management
Early Outbreaks Detection

Our Recent Projects

All
Predictive Analytics
Computer Vision

ILI Forecasting

Predictive Analytics

Skin Cancer Recognition

Computer vision

Navigator For Blind

Computer vision

Energy Demand Prediction

Predictive Analytics

Team

PH Informatics team of professionals has a strong academic background in mathematics, statistics, visualization, computer science, integration and implementation of IT solutions in various environments and geographic regions.

Established partnership with leading academic institutions let PH Informatics deliver state-of-the-art Artificial Intelligence solutions for the clients as well as provide Research and Development services if required.

Industry domains knowledge helps PH Informatics define what data is essential for the implementation of a certain project and accurately interpret the received results of analytical, modeling and integration work.

Years of experience

Successful projects in various domains

Countries of implementations

1300

Organizations use our products

Contact Us

Get in touch with us 24/7

info@phinformatics.net

Our Value

Our Artificial Intelligence Products

Our e-Health Products

Our Team

Our Know-How

Healthcare

Service Business

Manufactory & Energy

Accurate demand prediction

Optimal stock size prediction

Data mining and investigations

Smart automation for industry 4.0

Automated quality assurance

Computer vision technologies

Predictive maintenance techniques

Maximize revenue and gain growth

Reduce lost sales and increase availability

Optimize operations and resources

Make fact-based informed decision

Ensure personolized services and engagement

Reduce unnecessary costs

Facts

Forecasting demand for the specific quantities of specific medical services at specific locations

Forecasting stock size for the specific medical products at specific locations to minimize waste, reduce storage costs and ensure always-in-stock for all vital components

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

Define patient profiles, potential markets, service locations

Implement predictive maintenance for utilized medical equipment based on deterioration and failure forecasts

Monitor competitive activity and capitalize on existing and potential customers

Optimize pricing and tailor website displays in real-time

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

Identify your most, and least, costly and profitable services, boost utilization of your most efficient departments

Reduce lost sales due to medical service unavailability

Adapt therapies and drug formulations to patients

Enhance and automate medical services quality assurance programs to maintain the highest standards of medical care

Improve point-of-care decision-making with evidence-based clinical decision support system, including advices on prescriptive decisions and treatment plans, based on organization standards and practices

Implement predictive maintenance for laboratory equipment based on deterioration and failure forecasts

Automate diagnostic tests and make them faster and more accurate

Forecast stock size for specific laboratory consumables at specific locations to minimize waste and reduce storage costs

Perform laboratory diagnostic quality checks utilizing statistical methods and automated anomalies detection

Automate and enhance existing products/services quality assurance programs

Automate digital medical images analysis

Automate delivery of the second opinion for doctors at any location

Facilitate standardization: care variability reduction efforts and, therefore, costs

Identify anomalies and deviations in near real-time mode

Provide risk-assessment of disease progression based on electronic health records, diagnosis results, personal social and behaviors factors

Predict trajectory of chronic patients' conditions over time

Predict patient trajectory over time and discharge to facilitate preventive care delivery

Launch prevention therapies

Focus on patients' risk reduction

Provide wellness monitoring in addition to treatment, enabling proactive care options and preventive health care (50%+ of smartphone owners are estimated to download health apps by 2018)

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

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

Gauge reliability of integrated assets

Improve the efficacy of automated outreach clients, personalize them, taking into account each person's preferences, and how and when that person prefers to receive what information

Optimize personalized promotions

Provide services for self-check of some conditions including computer vision-based apps

Our team can reinforce your in-house team with AI capabilities as well as provide expertise, technologies, and support for R&D activities

Android Application Field Test in Tanzania

Meeting with Chief Veterinary Officer in FAO Headquarters in Italy in 2015

Epidemiology Surveillance System Implementation in RF in 2016

Meeting with Head of Division of Information in WHO Regional Office for Europe in Copenhagen in 2012

Participating SACID One Health Forum in Johannesburg in 2012

Delegations from DTRA and CDC Inspect Implementation in Kazakhstan in 2012

Trainees Finished Training Courses in Armenia in 2016

Cleaning services

Education services

Accommodation services

Tourism services

Food services

Personal services

Transport services

Entertainment services

Forecast demand for the specific quantities of specific products/services at specific locations to apply smart prices' adjustment/discounts, ensuring maximum products/services realization with minimum lost sales

Forecast stock size for the specific products/services at specific locations to minimize waste, reduce storage costs and ensure always-in-stock approach, anticipating sales trends and pre-order more soon-to-be-popular items

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

Define clients profiles, potential markets, service locations

Monitor competitive activity and capitalize on existing and potential customers

Optimize pricing and tailor website displays in real-time

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

Identify your most, and least, costly and profitable products/services