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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.

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Asset Management Consulting - ScienceSoft
Asset Management Consulting - ScienceSoft

Core Functional Modules 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.

Important Integrations for EAM Software

Valuable integrations for enterprise asset management software

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.

Why Consider ScienceSoft as Your EAM Consultant

Strong team of consultants

  • 40+ consultants and business analysts with hands-on experience in manufacturing, logistics, oil & gas, telecom, retail, healthcare, professional services.
  • 30+ solution architects experienced in complex projects on software integration and engineering enterprise-grade systems, e.g., ERP solutions with 500+ functions.
  • In-house Project Management Office with experience in large-scale projects for Fortune 500 companies.

Solid technology competencies

  • Since 1989 in data analytics, data science, and AI.
  • Since 2005 in BI solutions and data visualization.
  • Since 2011 in IoT (expertise in all components of an asset tracking ecosystem, including IoT data capture, storage, and analysis).
  • Since 2013 in big data.
  • Since 2013 in image analysis, including defect recognition and machine vision-supported remote monitoring.

Partnerships and recognitions

Named among America’s Fastest-Growing Companies by Financial Times, 5 years in a row

Listed in IAOP’s Global Outsourcing 100 for the 5th year running

Featured in Newsweek’s Excellence 1000 Index 2025

Named to CRN’s 2025 Solution Provider 500

Microsoft Partner since 2008

AWS Partner since 2017

ISO 9001-certified quality management system

ISO 27001-certified security management system

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).

To get a customized estimate for your enterprise asset management solution, use our online cost calculator.

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.

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*What is your industry?

*How are you planning to use your solution?

*What is the expected number of software users?

What approximate number of assets should users be able to manage with your software?

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*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(s) do you need a cost estimate for?

*Which platforms do you plan to support, or want a cost estimate for?

*Do you have any preferences for the deployment model?

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

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

Do you need to migrate data from legacy software?

*Would you require any integrations?

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

*Do you have tech stack preferences?

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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

Preferred way of communication:

We will not share your information with third parties or use it in marketing campaigns. Check our Privacy Policy for more details.

Thank you for your request!

We will analyze your case and get back to you within a business day to share a ballpark estimate.

In the meantime, would you like to learn more about ScienceSoft?

Our team is on it!

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.

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.

Share your needs

Technologies and Methodologies We Use

Programming languages

Back end

Microsoft .NET Java Python Node.js PHP C++ Golang

Front end

HTML5

CSS

JavaScript Angular JS React JS

Next.js

MeteorJS

Vue.js

Ember.js

Mobile

iOS Android Xamarin

Apache Cordova

Progressive Web Apps

React Native

Flutter

Ionic

Low-code development

Microsoft Power Apps

Microsoft Power Automate

App Engine Studio (ServiceNow)

Bubble.io

Data storage and databases

Azure

Microsoft SQL Server

Azure Synapse Analytics

Azure SQL Database

Azure Data Lake

Azure Blob Storage

Azure Cosmos DB

AWS

Amazon RDS

Amazon S3

Amazon Redshift

Amazon DocumentDB

Amazon DynamoDB

Amazon ElastiCache

Google Cloud Platform

Google Cloud SQL

Google Cloud Datastore

Others

MySQL

Oracle

PostgreSQL

Big data

Apache Hadoop Apache Spark Apache Kafka Apache Cassandra

Apache Hive

Apache HBase

MongoDB

AI and Machine Learning

Programming languages

Python Java C++

MATLAB

GNU Octave

R

Scala

Frameworks

Apache Mahout

Caffe

Apache MXNet

TensorFlow

Keras

OpenCV

Torch

Libraries

Apache Spark MLlib

Theano

Scikit-learn

Gensim

SpaCy

Cloud services

Amazon SageMaker AI

Amazon Machine Learning

Azure Machine Learning

Google Cloud AI Platform

Clouds

Amazon Web Services

Microsoft Azure

Google Cloud Platform

DigitalOcean

Rackspace Technology

DevOps

Containerization

Docker

Kubernetes

Red Hat OpenShift

Apache Mesos

Automation

Ansible

Puppet

Chef

Saltstack

HashiCorp Terraform

HashiCorp Packer

CI/CD tools

AWS Developer Tools

Azure DevOps

Google Developer Tools

GitLab CI/CD

Jenkins

TeamCity

Monitoring

Zabbix

Nagios

Elasticsearch

Prometheus

Grafana

Datadog

Data visualization

Power BI

Microsoft SQL Server

Microsoft Excel

Tableau

MicroStrategy

QlikView

Kyubit Business Intelligence

Sisense

Oracle Business Intelligence

Google Developers Charts

Grafana

Chartist.js

Real-time data processing

RabbitMQ

Apache Flink

Apache Spark Streaming

Apache Storm

Apache Kafka Streams

Amazon Kinesis

Azure Event Hubs

Azure Stream Analytics

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

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.

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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

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.

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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.