BIOTECH

Biotech Industry Challenges and their Technology-Powered Solutions

Biotech Industry Challenges and their Technology-Powered Solutions

Biotech Industry Challenges and their Technology-Powered Solutions 1440 810 Xcelpros Team

At a Glance

  • In the biotechnology and life sciences industry, the product’s end quality depends on the product lifecycle management process. It is essential to optimize and streamline these processes while making automation an irreplaceable component.
  • Apart from the need to expedite adaption of modern-day technology across the board, the biotech industry also evaluates tools that ranks high on ROI.
  • The ongoing Covid-19 pandemic has put the biotech industry at the front and center in terms of the need for faster tests and development of a vaccine and/ or therapeutics. This unprecedented set of events has brought forward even more pressing challenges in biotechnology manufacturing.

The biotech industry is synonymous with cutting-edge research for drugs  better health products, and more. This means the industry needs to evaluate itself for its technological quotient continually. The evaluation will also enable biotech and life sciences companies to know their exact challenges and pain areas. If we look at recent times (past decade), one of the prominent areas that require companies and researchers’ attention is biotechnology manufacturing. While the industry itself is projected to thrive, it is not devoid of some pressing issues that need to be addressed with robust IT reframing.

The global biotechnology industry growth is estimated to reach $727.1 billion by 2025, and at a CAGR of 7.4%.– Grand View Research

These numbers are both exciting and intimidating. Now is the time for the biotechnology sector to invest in fortifying their IT infrastructure to overcome their challenges and stand tall in the coming era of growth in demand.

Let us dive deep into the biotech sector’s five major problems in biotechnology and discuss technologies, tools, and systems to enable manufacturers to overcome these issues.

1.Challenges Pertaining to Funding/ Investments:Yes, the challenges faced by the biotechnology industry begin even before scientists step inside the lab! Venture capitalists are highly cautious in investing in biotech firms. Part of the reason is that the biotech/ life sciences/ pharmaceutical industries are slow-moving industries tied with many regulations. There is a fine line between drug/process acceptance and rejection. Another challenge in this area is the lack of a proper channel that can facilitate precise tracking of funds and generate insightful reports to make investors aware of the money spent. Lack of analytical insights also means that the current or potential investors do not get future predictions, which are readily available in other industries such as software and automobile.

How can Technology Answer These Challenges? Biotechnology companies should look into comprehensive Enterprise Resource Planning (ERP) systems that will enable them to track expenses and tie them back to their funding. An advanced ERP system equipped with advanced analytics features can help leverage data to generate insightful predictions and statistics.

2.Lack of Skillset:Across the board, there is a drying of talent pool for biotech experts who are adept in core subjects and technological applications. This creates a hindrance in quality production. Companies often struggle to keep their employees up-to-date with the latest happenings in the biotech industry. Personnel on the ground are not always aware of the industry trends as they are busy moving the day-to-day processes forward. Also, arranging skill upgrade training is a costly and time-consuming affair. However, the skill gap is a significant issue. Experts stress the perils of obsolete skillset and the importance of recruiting and retaining a highly-skilled workforce in biotech companies.

What Technological Solutions help Overcome Skill Gap?First off, it is crucial to choose agile, easy to use, simple to onboard applications to run everyday operations without losing the ability to capture the power of data. You don’t want to compromise the system in the effort of keeping it simple. Secondly, there are various learning and development platforms available that include individual training tools for employees. The ideal ones are embedded into the ERP system that behaves as a task recording guide. These automated platforms enable ease of access and ensure training completion without the need for individualized supervision.

3.Disconnect with Customer Expectation and Lack of Market Reading:Like any other industry, the biotech industry also faces challenges if there is a disconnect with its customers. Many companies also rely on conventional methods to read the market and gauge demands. Often there is a disconnect in the market demands vs. the in-house standards. However, this type of disconnect leads to poor customer satisfaction and misplaced product placements.

What Role Does Software Play in Establishing Better Customer Relations?A newer, more advanced AI-based customer relationship management (CRM) system tied to an operations system or ERP system can enable biotech firms to enhance their customer outreach and expedite response time. Moreover, CRM is also used to make better market predictions through thorough data analysis and trend studies.

4.Non-streamlined Supply Chains:A companies’ output is only as strong as its input – primarily people, process and software. This is also true in the case of maintaining a robust supply chain network. The Covid-19 pandemic saw disrupted supply chains because of grounded airlines and travel restrictions across various countries globally. There was also a major shift in demand of raw material, resulting in chain reaction of changes across supply chains. Such events need an agile, streamlined and optimized supply chain wherein different departments work in tandem and information is cascaded in real-time.

Figure 1:Leveraging the power of Data Science in Biotech

How can Biotech Companies Make Use of the Latest Technologies to streamline supply chain?The answer is an agile cloud-based ERP platform that includes the following feature set –

  • proactive planning and tracking workforce hours to a project.
  • providing supply-demand signals while procuring raw material and shipping samples.
  • process automation and approval workflows.
  • embedded training portals.
  • increased process visibility and data management.
  • real-time collaboration across various suppliers.

A robust application helps in better inventory management, communication and an overall optimized supply chain that can respond well to changes. The primary emphasis should be on moving towards newer systems and gradually letting go of legacy software. This will help the biotech industry leverage the full benefit of Industry 4.0 and make the most of its potential.

Key Takeaways:

  • Biotech companies need to rethink operations as a technology-powered ecosystem to expedite their process and ensure products are ready for quicker commercialization.
  • Modern-day AI-based ERP, SCM and CRM systems are crucial in enabling the biotech sector to become agile and more responsive.

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XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

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Data Science applications in biotechnology

Key Applications of Data Science in the Biotechnology Industry

Key Applications of Data Science in the Biotechnology Industry 1600 900 Xcelpros Team

At a Glance

  • Genomics is an intricate facet of biotechnology that requires storing and analyzing humongous amounts of data. Cutting-edge data science trends have brought a transformation in the way genomics is studied worldwide.
  • Biotechnology deals with the extraction, reaction and manipulation of molecules in living beings. These processes will expedite safely and systematically with the help of the advancements in data science.
  • Every day, there is a humongous amount of data generated by various private and government-funded biotech firms. Data science is crucial in establishing interconnectivity amongst these biotechnology entities to share the knowledge database.
  • Companies are faced with newer variants of diseases every few years and this requires gene sequencing of microorganisms at a much faster rate to help in drug and vaccine development. Newer technologies developed in the field of data science can be pivotal to help with the endeavor.

Industries have advanced with the knowledge and application of biotechnology. From facilitating clinical trials of drugs and vaccines to genetic alterations in crops for better yield, biotechnology has been crucial in transforming the way we live our lives. Now, how does biotechnology cross paths with data science? The answer to this question is multi-layered. The last decade has seen unprecedented advancements in the way data has been leveraged, stored, analyzed, shared and applied to derive statistics, build forecast models and solve the mysteries of science. Data science is emerging in biotechnology with the tools and techniques that help scientists systematize their findings and expedite their experiments for better and safer results. Data science is the crucial bridge between knowledge and information. The application of data science is rapidly moving from simply analyzing the existing information to deriving solutions for the future.

By 2021, 66% of analytics processes will no longer simply discover what happened and why; they will also prescribe what should be done.– Ventana Research Assertions

With data science becoming an integral part of how businesses operate, biotechnologists and related industries need to understand its emergence and crucial role. By understanding the applications of data-related tools and techniques, biotechnology can experience positive growth at a much faster rate. Let us look at some of the emerging pivotal data science applications in biotechnology.

1.Field of Advanced Medicinal Development: The field of modern medicine has gained momentum in terms of R&D with data science in biomedical research. Computerized medical records, big data to arrive at plausible diagnoses, automated medicinal kits, genetic coding, computerized molecular studies for drug and vaccine development, etc., are the technological boons of data science that have made it possible for companies to make unprecedented advancements in the field of medicine.

2.Developments in the Field of Agriculture:Scientists across the globe tout the systematic use of algorithms, computerized statistics and data analysis capabilities to advance the genetic studies of various crops. This has made it possible for them to experiment on the plants at a molecular level in the lab to shortlist the best yield. This saves time, effort and money while giving the best results with the combination of botanists, biotechnologists and data scientists. Apart from scientists, data science is also useful for farmers. Many mobile applications are being developed for the farmers to study best practices to grow crops, compare the prices and availability of seeds, fertilizers, and other farming essentials in their locality and get expert advice online. The data generated and leveraged in these apps can join together to create a library of references for the large farming community.

3.Mitigating the Damage to the Environment:Biotechnology is genuinely a way of giving back to nature by modifying existing systems and deriving new ones to minimize environmental damages. Now, one might ask what role data science can play in establishing ecological sustainability. Well, data is at the core of knowing the problem areas- factories with concerning amounts of emissions, agricultural sites that are in dire need of water conservation, landfills with immense amounts of non-degradable waste, etc. With the help of computerized tools, this data can be collected, stored and categorized to implement solutions. The solutions and best practices can also be shared via data science tools with other such areas, thus creating a chain of positive environmental practices.

Figure 1:Leveraging the power of Data Science in Biotech

The areas discussed above are prime examples of how data science applications are emerging in the biotechnology industry. Experts worldwide are working hard towards coming up with newer tools, techniques and solutions with which data can change the way biotechnology research is performed and results are derived. The coming decade will be vital in changing the way we apply data-driven analysis and solutions to bring about positive transformation in biotechnology and its related fields.

Key Takeaways:

  • Data science has moved on from merely becoming an analytical field to becoming a supportive pillar for reasoning and research in the biotechnology industry.
  • Leveraging data with the latest tools and techniques is helping bio technicians in expediting research and development processes while mitigating manual errors.
  • Biotechnology applications in medicine, agriculture, environment and more such fields have transformed with the help of advancements in data science.
  • While data science is emerging in biotechnology, there are still many milestones to be achieved to unleash its unlimited potential.

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About XcelPros

XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

Call us toll-free – 1.855.411.0585 (or) visit www.xcelpros.com

Artificial Intelligence in the Biotechnology - 5 Key Trends

Artificial Intelligence in the Biotechnology – 5 Key Trends

Artificial Intelligence in the Biotechnology – 5 Key Trends 1440 810 Xcelpros Team

At a Glance

  • The biotech industry is witnessing unprecedented demand on many fronts. Companies are looking to invest in fast-paced innovation, systematic storage of massive research data, analysis of humongous databases, and meticulous management of the business processes. AI-enabled applications play a crucial role in meeting these demands.
  • Machine learning, robotics, informatics, and AI branches can help in expanding the horizons of the biotechnology industry and move towards newer possibilities.

AI-led Transformation of the Biotech Industry and Its Positive Effects

The Biotechnology industry is currently relying heavily on storage, filtration, analysis, and the exchange of data. Massive databases are maintained by biotechnology companies and various health organizations worldwide. Drug manufacturing, chemical analysis of different compounds, sequencing of RNA and DNA, enzyme studies, and other similar biological processes require the strong support of computerized tools and applications to gain pace and reduce manual errors.

Today, the world is witnessing an unprecedented health emergency in terms of the Coronavirus pandemic. Economies are collapsing, countries are under lockdown, and all hopes are pinned on the biotechnology industry to come up with a safe, effective vaccine in the shortest possible time frame. The use of Artificial Intelligence in biotechnology and related applications play a crucial role in managing biological processes, boosting drug production, handling supply chains, and taking care of the pool of data for this industry.

Increased and better predictability for both structured and unstructured data helps companies in planning their operations accordingly for enhanced productivity and a faster pace of work.

Figure 1Applications of Artificial Intelligence in Different Fields of Biotechnology

Leading biotech companies are investing in advanced AI tools to:

  • Analyze research data
  • Accelerate vaccine development
  • Classify the target market and demographic
  • Identify the right ingredient to produce the vaccine

86%of current or planned AI spending is in customer-oriented areas, with marketing and sales leading the pack

 

$1.2 TNestimated additional revenue/ shifting revenue driven by AI in three years

 

While there are still many unknowns when it comes to a successful coronavirus vaccine, this US biotech firm has applied artificial intelligence to accelerate the process of vaccine development.

The biotechnology sector will leverage artificial intelligence and its related applications with vigor in the coming years. According to an article for Medium by Melanie Matheu, Ph.D., the next generation of therapeutics entering drug pipelines will contain targets selected by AI screening, likely improving the 86% clinical trial failure rates for small molecules.

The biotechnology industry has various sub-sectors ranging from human life sciences, food industry, agricultural biotechnology, animal biotechnology, and industrial applications. These branches can all leverage the advancements seen in artificial intelligence and machine learning related applications developed in the past decade, including five key AI trends that will transform the biotechnology industry, listed below.

The Application of AI is Shifting More Towards Knowledge Workers

79%agree AI and related technologies are having a transformational impact on workflows and tools for knowledge workers

 

80% say that placing powerful AI-fueled application in the hands of knowledge workers is critical to productivity and performance

 

84% agree AI streamlines processes, freeing knowledge workers for move creative, intuitive and laterally thinking activities

 

Source: Microsoft

01Boosting Innovations: From Lab to the Market

The past decade has witnessed the need for fast-tracked innovation, production and deployment of drugs, industrial chemicals, food-grade chemicals, and other biochemistry-related raw material. AI in Biotech plays a crucial role in boosting innovation not only in the laboratories but also throughout the lifecycle of a drug or chemical compound (right to the point where it reaches the market). Based on the target market, AI-based tools and applications help in developing the structure of molecules. Machine learning, a subset of artificial intelligence, helps in calculating permutations and combinations of various chemicals to know the right combination, without having to perform the experiments in the lab through manual processes. The use of artificial intelligence in biotechnology is bringing innovations that can help in predictive analysis to forecast the demand for a particular drug or a chemical in the market. AI in Biotech can also help in managing the smart distribution of the raw material required by the biotechnology industry through the use of cloud computing.

Figure 2Functionalities of AI in Biotech Industry

02Open Source AI Platforms: Faster Data Analysis

Scientists across the globe are looking at AI programs that can take over the tedious nature of data maintenance and data analysis. Tasks like gene editing, enzyme compositions, chemical studies, and such crucial informatics are analyzed systematically for faster and more accurate results. Open-source AI programs such as CRISPR libraries and H2O.ai are playing an essential role on this front by relieving lab assistants of repetitive tasks like data entries and analysis. By eliminating manual functions for healthcare providers and scientists, they can better focus their efforts on innovation-driven processes and it will be possible with the use of artificial intelligence in biotechnology.

03Pushing the Boundaries of Agricultural Biotechnology: Increasing Quality and Quantity

Biotechnology plays a crucial role in genetically modifying plants to develop more and better crops. AI-based tools become essential to this process of genetic modification to study the features of the crop, to note down and compare qualities, and to forecast plausible yield. Apart from these tools, robotics, an arm of artificial intelligence, is being used by the agricultural biotechnology industry for packaging, harvesting, and other essential tasks. AI in biotech also helps in planning the upcoming patterns in the movement of material by combining weather forecasts, data on the nature of farmlands, and the availability of seeds, manure, and pesticides.

04Discovery of New Drugs and Vaccines: Shrinking the Timeline

In a globalized world, newer diseases have a fast way to spread across continents. Thus, the biotechnology industry is at a race against time to develop newer drugs and vaccines to be able to contain such diseases. Artificial intelligence and machine learning are vital in speeding up the process of recognizing the right molecules, helping in synthesizing them in the labs, data analysis for efficacy, and it supplies to the market. Operations, which would usually take 5-10 years, have now been shrunk to 2-3 years with the use of artificial intelligence in biotechnology.

Figure 3Subsets of Artificial Intelligence in Biotechnology

05Facilitating Global Connect: Sharing Biotechnology Developments Worldwide

AI platforms are resourceful in letting scientists across the globe have access to imperial data regarding newer drugs and other industrial developments. Many machine learning tools are assisting scientists in decoding data and understanding patterns of a particular disease in a far-away country and utilizing it to build analytical models for their geography. The accuracy of scientific models has increased by several folds, after the introduction of AI in Biotech.

While these are the key trends, AI and related tools are helping in transforming the biotechnology industry in many ways. Coming times will see the use of artificial intelligence in biotechnology for the betterment of humankind by the progress it facilitates in the fields of biosciences and technologies.

The power of integration of Microsoft’s AI with Microsoft Dynamics 365 helps biotech companies get over the industry’s pressing challenges. Hindrances such as resource management, stringent regulations, quality management, etc., and establishes seamless workflow by ensuring unified data sharing, visibility, and connectivity across diverse channels and operations so that teams better communicate.

This collaboration with the use of artificial intelligence in biotechnology helps your company to

  • Achieve regulatory compliance
  • Gain visibility into your supply chain management
  • Track and control your inventory with accuracy, and
  • Integrate industry best practices for corrective and preventive action

Finally, the digital transformation achieved with the Full Microsoft Suite gives you data in real-time to make smart and actionable business decisions to spur company growth.

Key Takeaways

  • The biotechnology industry has progressed significantly with the application of AI and related computerized tools.
  • Be it medical, industrial or agricultural biotechnology, AI, machine learning, and robotics play critical roles in pushing the boundaries of possibilities in these fields.

Using our years of industry experience in the biotech, life sciences, and pharmaceutical industries, we suggest and help our customers with the best ways to reduce costs and mitigate implementation risks. We work with you throughout the implementation, so that you can quickly identify, address, and record any production, shipping or quality control risks, events, and complaints. A personalized, flexible D365 dashboard equips your teams to trigger a hold on products throughout the supply chain autonomously, launch nonconformance reports, send notifications to managers when test results hit a certain threshold or when a specific research milestone deadline is compromised.

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About XcelPros

XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

Call us toll-free – 1.855.411.0585 (or) visit www.xcelpros.com

Current biotechnology issues

Top Concerns of Biotechnology Industry Current Issues

Top Concerns of Biotechnology Industry Current Issues 1920 1080 Xcelpros Team

At a Glance

  • The world has turned its hopes towards biotech companies to reduce the spread and impact of the Covid-19 pandemic.
  • The biotech industry is working continuously towards fortifying healthcare systems, enabling serosurveillance to gauge the spread of disease in a community and to aid in the development of a vaccine.
  • With governments across the globe funding research and production costs to enable biotech companies to win this battle against time, there are various operational, technological, and workforce concerns that these companies face that need to be addressed with strategic maneuvering from the apex.

Introduction

The Biotech and Life Sciences industry is one of the most sought after sectors this year in conjunction with the pharmaceutical industry as a solution to the current Covid-19 pandemic. Health experts across the globe have agreed that highly effective treatments, including the development of a vaccine, would be needed to reduce and eventually stop the spread of novel coronavirus, allowing cultures around the world to get back to normal activity. While some countries have fared better than others in handling the Covid-19 health crisis, there are still looming fears of new waves. Current Biotechnology issues are expected to normalize with an effective antidote or vaccine.

While the biotech industry sprung into action to begin developing a solution almost immediately, there’s still a long way to go. Challenges faced by biotechnology have been as real as the crisis itself. While the biotech and life sciences industry has a primary role in addressing pandemics like that of COVID-19, it’s not immune to economic downturns, supply chain disruptions, workforce shortage, or any other challenges.

Below are some of the pain points that the Biotech and Life Sciences industry are facing:

01.Roadblocks and Hurdles

All over the world, various biopharma companies, both privately and through government-funded efforts, are performing clinical trials for different potential vaccines and drugs. In 63 days after the genome sequence of the novel coronavirus was shared with the world, USA’s Moderna Biotech Inc. had developed its mRNA candidate to battle the pandemic. Being able to move at a pace never seen before requires immense talent, robust AI-enabled software setup to perform bioinformatics processes, and exceptional R&D infrastructure.

The journey from vaccine development to approval and administration on a global scale is wrought with numerous additional steps and hurdles, requiring mobilization of assets and task forces, recruitment of volunteers, conducting clinical trials, collation, and analysis of humongous amounts of data, smoothly operating supply chains, enormous monetary investments, and a well-equipped production and distribution infrastructure.

02.Collateral Delays

The spread of the coronavirus pandemic brought most of the world to a screeching halt, with many businesses having been forced to close. A result of this is disruptions to major clinical trials and research work on drugs and vaccines for other life-threatening diseases like cancer, HIV, autoimmune diseases, etc. These are collateral delays, and the biotech industry is now challenged with not ignoring existing health issues while still focusing on developing a solution for the ongoing pandemic.

03.Global Distribution

Health experts and top executives at significant biotech companies agree that even if we succeed in making an effective vaccine for Covid-19, there would be a need for immense strategic and operational changes in the current global and local supply chains to ensure that it’s produced and distributed to everyone around the world. With disruptions to most supply chains, only adding to challenges faced by the Biotechnology industry, it will be interesting to see how these organizations address these issues.

Figure 1Covid-19 Vaccine Development in Phases: The Role of Biotech and Pharma

04.ROI

A global health crisis of this scale requires a humanitarian approach to ensuring treatment is available to all. This is why most pharmaceutical and biotech companies have agreed that the first or even second batches of any drugs or vaccines they produce(should they prove to be valid) will be distributed at non-profitable rates. We shouldn’t, however, neglect the current biotechnology issues who are investing millions of dollars in rising to the occasion. These organizations will need a blueprint for steady business growth and monetary returns in the post-COVID era.

05.Remote Solutions

Now more than ever, biotech companies need highly skilled and experienced scientists, health experts, and paramedical personnel who can make this journey towards vaccine development smooth. With most businesses still not fully operational to support new workplace requirements, more remote access solutions will have to be developed and embraced to keep operations moving forward.

Role of Microsoft Dynamics 365 Supply Chain Tools in Biotech Companies

We have spoken about some ongoing challenges faced by the biotechnology industry in the war against Covid-19. It is important to note that current biotechnology issues are handled with strategic realignment and robust Enterprise Resource Planning tools. An ERP tool such as Microsoft Dynamics 365 Supply Chain enables biotech companies of all sizes to optimize their supply chains, mitigate costs on manual labor, avoid redundant efforts, automate billing cycles, and other enterprise-level processes.

Key Takeaways

These are challenging times for organizations in the Biotech and Life Sciences industry. They now, more than any other sector, continue to work at unprecedented speeds to help the world end this global crisis. Billions of lives are at stake, waiting anxiously for a solution to the ongoing pandemic. There are many challenges that the biotech sector needs to address from disrupted supply chains to the need for multi-layered coordination for clinical trials. With strategic intervention by strong leadership and the use of modern robust tools, these challenges and more, can all be overcome.

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About XcelPros

XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

Call us toll-free – 1.855.411.0585 (or) visit www.xcelpros.com