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Enterprise Asset Management Consulting Services 

Enterprise asset management (EAM) consulting serves to digitalize asset management for maximized ROA. In software development since 1989, ScienceSoft designs, develops, implements, and supports EAM solutions for tech-driven asset planning and optimization.

Asset Management Consulting - ScienceSoft
Asset Management Consulting - ScienceSoft

Go-to Functionality Modules and Integrations for EAM Solutions

Asset tracking and monitoring

  • Up to 50% reduced asset downtime
  • Up to 24% asset productivity increase

due to optimized asset usage, minimized asset loss and rationalized asset expenditure.

Asset maintenance management

  • Up to 25% reduced maintenance costs
  • Up to 70% fewer asset breakdowns
  • Up to 12% fewer scheduled repairs

due to optimized asset maintenance and real-time monitoring of asset operation.

Asset planning and optimization

  • Up to 21% OEE increase
  • Up to 5% reduced capital investment

due to optimized asset utilization scenarios and asset investment planning.

Key Integrations for EAM Software

Valuable integrations for enterprise asset management software - ScienceSoft

ScienceSoft recommends: to reduce time-to-insight, start with developing an MVP with the minimal optimal feature set to address most acute problems and then, if viable, extend the functionality with more advanced capabilities.

More on enterprise asset management solution functionality, integrations, success factors and ROI in our enterprise asset management software guide.

Enterprise Asset Management Investments

The cost and duration of the EAM solutions ScienceSoft implements and supports depends on multiple factors, including:

  • Types of assets, their number and growth rate.
  • The number and diversity of the functional modules of EAM software. If case-specific functionality is required (e.g., asset condition monitoring, ML-based asset maintenance cost forecasting, real-time object recognition).
  • Number and complexity of systems to integrate with (custom and off-the-shelf software, hardware (barcodes, tags, chips, etc.).
  • Complexity of the required asset analytics reports and dashboards.
  • Solution availability, performance, security, latent capacity and scalability requirements.
  • Number of platforms supported (web, mobile, desktop).

ScienceSoft recommends: to reduce enterprise asset management implementations costs, consider:

  • Iterative enterprise asset management software development and implementation.
  • Integrating the solution with the existing systems to cover some EAM functionality (ERP for work order management, accounting software for budgeting, etc.).
  • Simplifying UX and UI elements.

Learn the Cost of Your Asset Management Solution

Just answer a few simple questions about your asset management needs. This will help our experts calculate the cost for your unique case much quicker.


*What is your industry?

*What type of company do you represent?

*What is the expected number of software users?

*How many organizations do you plan to target with your software, approximately?

*How many end users (individuals from all organizations) will use your software, approximately?

*What capabilities should your asset management solution provide?

*Should your software provide complex analytics and reporting?

*Which software version do you need?

*Which platforms should your software support?

*Do you have any preferences for the deployment model?

*Should your software provide a human-machine interface to operate the assets?


With barcode scanners, RFID sensors, computer vision cameras, warehouse robots, smart glasses, etc.

*Should your software interact with asset tracking and maintenance devices?


RFID/BLE/UWB sensors, GPS chips, tachometers, computer vision cameras, maintenance robots, smart glasses, etc.

*Would you require any integrations?


With other corporate solutions, vendor systems, third-party data sources (e.g., GIS systems, environmental data platforms), etc.

Do you need to migrate data from legacy software?

*Do you have tech stack preferences?


Particular programming languages, software platforms, cloud services, etc.

Are there any compliance requirements for your asset management solution? Choose all that apply.

Your contact data

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Our team is on it!

ScienceSoft's experts will study your case and get back to you with the details within 24 hours.

Our team is on it!

Why Consider ScienceSoft as Your EAM Consultant

Solid experience in advanced technologies

  • 35 years in data analytics, data science, and AI.
  • 19 years in BI solutions and data visualization.
  • 13 years in IoT (expertise in all components of an asset tracking ecosystem, including IoT data capture, storage, and analysis).
  • 11 years in big data.
  • 11 years in image analysis, including defect recognition and machine vision-supported remote monitoring.

Strong team of consultants

  • 40+ business analysts with hands-on experience in manufacturing, logistics, oil & gas, telecom, retail, healthcare, professional services.
  • 20 + software architects.
  • In-house Project Management Office experienced in complex projects on software integration and elaborate enterprise systems, e.g., ERP solutions with 500+ functions.

Proven tech capabilities

  • Partnerships with Microsoft, Amazon, and Oracle.
  • ISO 9001 and ISO 27001-certified assuring the quality of the services provided and the security of our customers' data.

ScienceSoft USA Corporation Is a 3-Year Champion in the Financial Times Rating

Three years in a row (2022–2024), the Financial Times has included ScienceSoft USA Corporation in the list of 500 fastest-growing American companies. This is the result of our dedication to driving project success despite any constraints and disruptions.

Our Portfolio for Enterprise Asset Management Digitalization

Fleet Maintenance Software Development

Fleet Maintenance Software Development

  • Real-time role-based dashboards to monitor and control fleet.
  • Automatic inspection/availability checklists for each equipment type.
  • Push notifications for critical events.
  • Automatic maintenance remainders and maintenance completion reports.

Technologies: Microsoft Azure, .NET, ASP.NET MVC, Microsoft SQL Server, Xamarin, iOS, Android.

Development of Software for Managing Building Inspections

Development of Software for Managing Building Inspections

  • Functionality for customer support specialists: configuring request settings, managing inspectors and necessary inspection procedures, etc.
  • Functionality for inspectors: viewing the list of assigned inspections, assigning/changing set time of inspection, cancelling an inspection, etc.

Technologies: ASP.NET Web Forms, DevExpress, C#, Microsoft SQL Server, Java , etc.

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer

  • Optimized drilling equipment condition monitoring.
  • Timely detection of emerging drill bit defects with machine learning and visual recognition algorithms.
  • ML-based recommendations on an optimal date for drill bit replacement and maintenance.

Technologies: TensorFlow, Keras, OpenCV, Scikit-learn, NumPy.

Development of an RFID-Enabled Application for Livestock Management

Development of an RFID-Enabled Application for Livestock Management

  • RFID-based wireless collection of livestock data from the field for animal monitoring and management of various farm activities.
  • Reduced time spent on data gathering and processing with RFID tags, scanners and palmtop.

Technologies: C++, C#/.NET, Bluetooth API, Windows API, COM

Development of an IoT Solution for Construction Health Monitoring

Development of an IoT Solution for Construction Health Monitoring

  • Real-time monitoring with sensors installed on the key elements of a building.
  • Automatic notifications for operators about a sensor failure or a construction defect.

Technologies: .NET 4.0, WPF, WCF, SOA, NHibernate, Ninject, NLog, Castle, AvalonDock, NUnit, Moq, Microsoft SQL Server Compact, SQLite, etc.

Development of a Truck Temperature Monitoring Solution

Development of a Truck Temperature Monitoring Solution

  • A GPS-based solution for real-time cargo temperature and humidity monitoring.
  • Alerting on delivery violations.
  • Advanced reporting capabilities to display detailed information about a particular delivery, including temperature, humidity, door opening and closing, damaged packaging, etc.

Technologies: AWS, PHP, Symfony 2, AngularJS, .NET WPF.

Oil Well Monitoring Application Development

Oil Well Monitoring Application Development

  • User-friendly web-based application.
  • Monitoring the condition of rod pumping equipment at any time and from any device.

Technologies: HTML5, CSS3 (SASS), Angular 1.5, Angular Material, xml2json.js.

Have an EAM Project in Mind?

We set up effective collaboration with your asset management experts to process requirements of any maturity – from a short idea description to a full RFP – and build advanced EAM solutions.

Technologies and Methodologies We Use

EAM Services We Offer

EAM advisory

Timeline: 4–8 weeks

  • Analysis of EAM and implementation drivers.
  • Assessment of the current EAM processes supported by technology (the automation level of the asset-related processes, features in and out of use, integrations, etc.).
  • EAM solution conceptualization and design.
  • Selection of a suitable EAM platform, optimal plan/edition selection with the list of needed modules and features, customization and integrations specification (if required).
  • Custom EAM solution architecture and infrastructure design, tech stack selection, UX and UI design.
  • EAM solution implementation planning, including cost and time budget estimation, etc.

see service deliverables


Technical documentation:

  • Asset management solution architecture (for custom solutions).
  • Off-the-shelf software comparison (if required).
  • Software & hardware requirements specification (for custom solutions).
  • Configuration guides (for off-the-shelf software).
  • Infrastructure design.
  • UX and UI (re)design (for custom software).

Project documentation:

  • Feasibility study report and business case (asset management solution cost, outcomes, ROI, etc.).
  • Project plan with budget estimations and technical limitations.
  • Cost optimization plan.
  • Risk management plan.
  • Asset management KPI system to measure asset management software quality and business value.


EAM advisory + implementation and support

Timeline: ~2–10 months

  • EAM needs analysis and solution conceptualization.
  • EAM software architecture design (for custom solutions).
  • PoC implementation (optional).
  • EAM software development/customization.
  • Integration of the EAM solution/solution components into the existing IT ecosystem.
  • Hardware installation and integration (if applicable).
  • EAM quality assurance (functional, UI, API testing, etc.).
  • Data migration.
  • Deployment to production and user training.
  • After-launch support and evolution.
  • SLA-based EAM solution administration, monitoring and maintenance.

see service deliverables


  • Infrastructure configurations.
  • Documented code with unit tests.
  • API descriptions.
  • Test documentation.
  • Automated tests (API and UI tests).
  • User documentation.
  • Regular status reports.
  • Asset management KPI reports with recommendations for their improvement.
  • Asset management system maintenance reports.


Driving Project Success No Matter What

ScienceSoft's Mission is Driving Your Project Success No Matter What

Achieving project goals despite time and budget constraints and changing requirements is our top priority.

You set goals, we drive your asset management software project to fulfill them by all feasible means.

Note: to help you reduce EAM project risks, we offer starting our cooperation with:

  • Free advisory demo session – for you to check our expertise level.
  • Feasibility study – to make sure you win from EAM solution implementation.
  • Enterprise asset management PoC.