From SCDigest's On-Target E-Magazine
- March. 11, 2014 -
Supply Chain News: Understanding the Software Components of a Voice System in Distribution
Many Pieces May Be Deployed, Depending on Needs and the Capabilities of Existing Systems
SCDigest Editorial Staff
The following article is an excerpt from Supply Chain Digest's new White Paper entitled A 360-Degree View of Voice Technology in Logistics 2014. That report can be downloaded here.
There are actually quite a number of different pieces of software that are or can be needed to make Voice work. Exactly what pieces a given company needs for its Voice deployment varies of course with application requirements, existing software, the supplier a company decides to go with, and more.
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A new type of software involves converting existing RF data fields from the WMS into Voice commands, with the reverse being true for users' Voice responses. |
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What Do You Say?
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Below, we summarize the different Voice-related software that are common in distribution center applications.
"Host" System: In almost all cases, there is one or more "systems of record" to which the Voice system is connected. This is most frequently a Warehouse Management System (WMS), but can be an ERP/Order Management system or something else, like independent vendor compliance/audit software or Lab Information Systems.
Increasingly today, the WMS solutions of leading best of breed and ERP providers have "out of the box" support for some but not all Voice solutions. However, few have complete Voice support across all of their existing radio frequency applications. Most picking applications (full case, split case, etc.), for example, would be supported, but receiving or truck loading processes may not. That means companies wanting to Voice-enable those other areas either need to have the WMS provider do some additional work or use the application management software from a Voice software provider (see below).
Voice Recognition Software: The heart of a Voice system is naturally enough the software that actually recognizes the words spoken by a user and translates that into data for processing by the application programs, as well as translating host software data back into audio responses.
This is an area where the software has made significant progress over the past decade, greatly improving recognition accuracy and speed. That in turn reduces implementation times and later operational problems, helping to further decrease the time-to-value and increase the ROI from Voice investments. This is especially true in dealing with "noisy" DC environments.
In addition to the environmental noise factors, consider the challenges of accurately recognizing in real time what words perhaps hundreds of workers in a distribution center are saying, each using different tones, accents, and more – and the variability usually seen even in how a given worker may pronounce each word at a given moment.
While today all Voice software vendors have solid recognition capabilities, there are differences among them, especially in how they might perform in the specific environmental conditions of a given distribution center.
Here the debate is also joined over "speaker-dependent" versus "speaker-independent" Voice systems. In the latter approach, each Voice system user "trains" the system on the way he or she pronounces the 100-200 words typically used in a given Voice implementation. Speaker-independent systems use phonetic recognition to identify words regardless of speaker, such as is required in call center applications where tens of thousands of different customers may be dialing in.
There are pros and cons of both approaches, though nearly everyone agrees in recent years tremendous progress has been made in speaker-independent technology. The major downside of the speaker-dependent systems is the time required (20-30 minutes) for each user to train the system on their individual pronunciations, though some argue that comes at the benefit of greater accuracy/fewer failed recognitions.
Potential Voice users simply need to be aware that there are different approaches and weigh the pros and cons along with all the other factors involved in selecting a Voice hardware and software provider.
(Distribution/Materials Handling Story Continues Below
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