ABBYY Blog

To drive growth and profitability, shippers need to transform back-office functions in a manner that reduces manual processes and integrates processing through the entire supply chain with both carriers and trading partners, notes Bruce Orcutt, SVP of Product Marketing at ABBYY in a recent feature in Inbound Logistics.

Artificial intelligence (AI) is certainly the most revolutionizing technology of the digital age, as enterprises explore ways to utilize machine learning (ML) and other AI tools to harness customer insights, spot talent, and secure corporate networks.

Just 6 months ago, no one would have imagined that social distancing would be the normal way of interacting in public settings or doing business. But now, just halfway through the year, we can hardly imagine what it was like going to the store, getting a meal, or going to the bank without a mask, hand sanitizer, avoiding cash, and being vigilant about safe distance.

It’s no secret that Robotic Process Automation (RPA) is driving technological advancement. With benefits such as improved throughput rates, process adherence, and time-saving opportunities, more and more companies are adopting RPA. It is expected that by 2025 that businesses will gain a potential savings of $5 trillion to $7 trillion due to RPA. This is because of its large time and cost-saving ability when paired with the right processes.

Today’s global workforce has experienced fundamental and disruptive changes over the past few months as a result of the pandemic. Organizations across diverse sectors and geographic markets are experiencing shifts in their day-to-day work environment that have revealed the need for greater operating efficiency, connected systems, and seamless workflows across every facet of the enterprise.

Are you looking to increase your investments in intelligent automation tools and technologies like robotic process automation (RPA) and machine learning for understanding content and achieving hyperautomation?  If so, you’re not alone. Hyperautomation was deemed one of the top strategic technology trends for 2020 and quickly enthused organizations to achieve a higher level of automation.

Recent events – both health and economic – have awakened us to a new urgency for getting automation right.

Customer acquisition and retention are the essential drivers of insurance revenue and profit.  Today’s insurers face a new breed of competitor who targets customer experience with smart technologies, such as AI, focused on removing friction from their interactions.

Digital workers need training and onboarding – just like their human colleagues – in order to realize their potential and maximize the return of an RPA investment. There are currently millions of digital workers employed at businesses worldwide.

As supply chains become more global and complex, processes are becoming increasingly challenging to monitor and optimize. Identifying the root cause of inefficiencies can prove difficult without having a comprehensive view of operational workflows.