As supply chains, warehouse management and other business concerns become increasingly complex, digital systems need to advance accordingly and the ideal solution may be speech recognition software.
The reason, according to what linguist and communications professional Ron Kaplan wrote in a recent op-ed article for Wired, is that current graphic user interface (GUI) systems may not be equipped to handle complex computing tasks. GUIs became the standard bearer for bringing digital solutions to the masses because they were far more efficient than legacy systems which relied on coding and in-depth knowledge. Graphical interfaces turned computers from the domain of scientists to making them accessible to just about everyone. However, as digital solutions become increasingly vital for everyday business decision making, the GUI may no longer be ideal.
"We're now grappling with an unintended side effect of ubiquitous computing: a surge in complexity that overwhelms the graphical-only interface," Kaplan wrote. "It can take as many as 18 clicks on 10 different screens to make one simple airline reservation while we're faced with an unwieldy array of buttons, ads, drop-downs, text boxes, hierarchical menus and more. What makes the problem worse is that we're forcing the GUI into a mobile-interface world even as the information and tasks available to us continue to increase. Whether it's because of available real estate or the desire for invisible design, interface screens are increasingly smaller, narrower or simply nonexistent."
The key benefit to speech recognition software is its ability to connect two seemingly disparate end points. The main issue Kaplan highlighted with GUIs is their inability to accurately connect two conclusions, working off legacy "if then" logic that has long defined software coding. Instead of dealing with lots of incremental steps, business decision makers can use speech recognition software to more efficiently manage supply chains, warehouses and other variables that can affect a company's bottom line.
While speech recognition software is primarily associated with consumer applications like the Siri feature on Apple iOS mobile devices, its potential is business and supply chain settings is equally vast.