Blue Technologies Blog

How companies manage and maintain their documents may be the next business function facing technological disruption. While document and record management remains a vital process, companies find it to be an increasingly complex and labor-intensive practice. This is precisely why data scientists and software developers are now looking for ways that Artificial Intelligence (AI) systems and Machine Learning (ML) algorithms could help.

Since the rise of the first document management systems, companies could streamline their workflows and ensure the accurate execution of their processes. However, it still required humans to enter all the related data, initiate the workflows, and compare versions of documents manually. In an IDC whitepaper from 2012, professionals still reported that they spent, on average 4.5 hours per week searching for documents. Often, if they cannot find what they are looking for, they will recreate a document or file leading to higher productivity losses.

The hospitality industry specializes in crafting a luxurious guest experience, and many hotels go to great lengths to make every aspect of that experience perfect. Yet, if there’s one thing that can mar the entire experience, it’s paperwork.

From losing reservations to forcing guests to navigate complex forms, many document processes can disrupt the experience. To mitigate this, many establishments turn to document management strategies to streamline the guest experience.

If there’s one thing that’s associated with tremendous amounts of paperwork, it’s insurance companies. From application through claims, a form or letter or piece of paper exists for everything. However, all this paperwork needs to remain organized and accessible for an insurance company to operate effectively. That’s where document management becomes handy, and insurance companies require a solid strategy for it.

The modern supply chain stretches all over the globe, with new manufacturers and suppliers continuously emerging. Finding the best cost efficiencies in the production lifecycle of goods is forcing supply chain managers to look for new partnerships and OEM sources.