Voice recognition system brings a revolutionary change in warehouse system-Know how?

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Voice recognition system brings a revolutionary change in warehouse system-Know how?

Suppliers of voice-directed systems are quick to point out how voice fits well with today’s e-commerce picking and fulfillment challenges because of the “hands-free” nature of voice directives versus using paper pick lists or wireless handhelds. By using Bluetooth headsets to hear verbal instructions and validate information back verbally to the system, voice keeps workers’ hands free for work tasks.

But voice productivity doesn’t stop there. In recent years, vendors have been bumping up the productivity of their solutions by doing things like applying analytics and optimization software to find further efficiencies, making improvements on speech recognition, and leveraging new device capabilities.

There can be an additional 10% to 15% increase in productivity over the hands-free benefits of voice by using analytics to manage your operations,” according to Keith Phillips, president and CEO of Voxware, whose suite spans voice automation and analytics. Voice-directed workflows carry an inherent hands-free advantage and see another couple of key ways voice solutions are building productivity.

One of these is with highly capable “multi-modal” devices that can support voice-directed work as well as the occasional bar code scan and then also capture radio frequency identification (RFID) tag data, or offer a screen to display or acquire information. The second path for next-level gains, is through optimization software that does things like create highly efficient pick paths.

Optimization with Voice Technology

The software does things like create optimal pick paths to reduce travel and intelligent batches that create optimal pick density. User organizations that have implemented voice-based picking to create optimized batches are seeing productivity improvements averaging about 20%, and in some cases greater.

The goal is to make the entire flow through of a fulfillment center more efficient and to address this, it needs to be ensured that pickers are touching product optimally and spending the least possible time walking. In other words, you want to maximize time spent picking and minimize time walking. In other words, you want to maximize time spent picking and minimize time walking.

While voice picking implementations may consider some basic location sequencing when devising batches, this amounts to rules logic that can’t optimize to the extent that an optimization engine employing multiple mathematical algorithms can.

Picking solutions’ algorithms are constantly assessing orders coming in from a Robots for Warehouse Automation Online management system or host system and weighing multiple factors to create optimal batches and pick paths. The software factors including slot-level location of each item, directionality of the pick path, product dimensions, the ability to cut through aisles, user permissions and start/end points. The software rapidly crunches these factors while prioritizing tasks against the shipment timeframe that must be met.

Voice recognition technology in the warehouse

Vendors are also working to make voice recognition more effective. While tech giants such as Apple (with Siri) and Amazon (with Alexa) are making voice a growing part of the consumer experience, voice-directed solution vendors for the warehouse say that these consumer-focused voice engines aren’t yet suitable for warehouse environments.

Vendors are also working to make voice recognition more effective. While tech giants such as Apple (with Siri) and Amazon (with Alexa) are making voice a growing part of the consumer experience, voice-directed solution vendors for the warehouse say that these consumer-focused voice engines aren’t yet suitable for warehouse environments.

Analytics advantages

Analytics of the data and transactions generated by voice systems also serve as a way to squeeze more productivity from warehouse workflows. Analytics can do things like determine when it makes sense to move pickers from one area or zone of the Robotic Warehouse Systems Alberta to another based on current workloads. The vendor’s Cloud-based analytics can also tap into information from warehouse or transportation management systems to help make decisions about rebalancing labor in the warehouse or about delays in shipments that would impact execution.

Analytics can spot patterns that help an organization fine tune the use of voice-directed work, for example, analytics can tell if a worker might be adequate or good on his or her pick rate, but is using more “utterances” than normal back to the voice system. This sort of pattern might indicate a problem such as incorrect headset positioning, which if adjusted, might further help the productivity of the worker.

While analytics are proving useful, voice solution providers also need to continue to enhance voice recognition. One thing Honeywell has done with its Vocollect voice solution is come up with a capability called Sound Sense that leverages multiple microphones built into the headset whereby one mic focuses on the worker’s voice and the other is oriented on filtering out background noise.

Voice also is being applied to other processes in a warehouse, including receiving and put away, cycle counting, or packing and shipping stations. With Voxware’s support for smart glasses including glasses from Vuzix, workflows such as packing can be enhanced having one device that supports voice interactions, scanning, and image and video capture. In a packing scenario, voice directives using smart glasses could be combined with image capture with the glasses to take digital images that prove a package was packed correctly and was damage free.

Voice picking is highly accurate, but some of the errors that occur are not because a worker is picking from the wrong location, but because the wrong item was put in the wrong location because replenishment was done incorrectly.

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