New Product Launch!

You’re invited to download our newest product, VoiceSupervisor, free of charge.

Please visit the Google Play Store for Android or the Apple App Store for iOS and search for VoiceSupervisor (with no spaces).

Feel free to share this message with your colleagues to download as well. 

New Product Launch!
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WERC Survey on Technology Adoption

REPOST: Shefali Kapadia, Supply Chain Dive

Statistics from the Warehousing Education and Research Council (WERC) provide the picture of technology investment in warehousing.  One-third of warehouses still do not have a WMS system.  And conveyor implementations are in decline.  But growth for voice-directed picking solutions is strong – and growing.

The lack of warehouse management systems is troubling.  And the continued reliance on manual systems and dissimilar modules for various warehouse components complicates the seamless communication required for emerging technologies such as the IoT.

The WERC survey results indicate that digital technology implementation progress has been slow among their 549 respondents.  “Technology continues to advance at a rapid rate and implementation lags in warehousing.  Today, in the warehouse of 2018… technologies have had only a marginal implementation for many of our respondents.  We wonder how prepared warehousing and distribution are to step into their part in the digital supply chain for many organizations.”

The Voice-Directed Picking Solution

Today’s rapidly changing market has had a dynamic impact on traditional warehouse operations.  Operations have been forced to be more responsive and nimble than at any time in the past.  ‘Data’ continues to improve, and with that comes a better evaluation of how a company’s warehouse and distribution segment can best serve the evolving supply chain strategies.

Voice workflows have earned a “workhorse” reputation and saw the greatest implementation growth among new technologies, according to the survey.  The chart above shows that about a quarter of facilities are using voice today, compared to 5.7% in 2008.  There are a lot of new technologies on the horizon but none that have a greater overall value when compared to voice picking technology.

 

WERC Survey on Technology Adoption
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E-Commerce as a Jobs Engine? One Economist’s Unorthodox View

REPOST: Andrew Ross Sorkin, The New York Times

So many people say eComm is killing jobs… and at the retail level, this is true.  But this NYTimes article contends that the eComm industry is hiring considerably more people – and at higher wages – when compared to those who are losing jobs at the mall or on Main St. USA.

Continue reading at The New York Times

 

E-Commerce as a Jobs Engine? One Economist’s Unorthodox View
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Pick to Voice Warehouse Systems

Repost: Martin Murray, The Balance

Technology is constantly improving, and we can all agree that it is crucial for businesses to continue to upgrade systems in order to maintain a competitive advantage. Pick to voice is a warehouse system that has eliminated many of the problems associated with the older picking solutions. With a voice directed picking solution, the operator uses a bluetooth headset that communicates and confirms picks with the warehouse operator. Pick by voice not only drastically increases accuracy and productivity, but also allows warehouse workers to pick in a seamless manner that does not require them to pause following every pick. Martin Murray, a senior supply chain management consultant and expert in logistics, has succinctly outlined the basic components and benefits of a pick by voice picking system.

Read on to learn more.

Pick to Voice Warehouse Systems
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The Cost of 15 Minutes

Have you ever thought about the value of 15 minutes in your crazy busy day?   This infographic quantifies the real magnitude of losing 15 minutes per day around common non-value added daily tasks in most DCs. Sound interesting? Contact voice@mountainleverage.com and let’s chat about about how we can save some time in your DC operations this year.

Click to Download Infographic

 

The Cost of 15 Minutes
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What Causes Picking Errors?

by DOUG HOPPER, Fulfillment Process Expert

 

Recent increases in E-comm and B2C ordering patterns have put a spotlight on the impact that picking errors now present to operations managers.  At a minimum, the B2C shipper incurs a customer return with all the associated costs.  But all too frequently the single item mis-ship results in the loss of the next  sale.  Consumers typically do not return to shop at the seller who delivers the wrong item- or the right item in the wrong size, color or quantity.  In fact, they tell their friends and the damage is accurately measured with a multiplier nearly every time.  Even in the B2B environment, these errors typically carry a deduction against future invoices along with a correlating reduction in customer satisfaction, opening the door for competitive offerings – even in long-time established accounts.

The picking error that occurs in the distribution center is most often the result of using a sub-optimized process for order fulfillment.  The interaction between a picker and paper pick tickets, paper labels, RF handhelds or wearable devices, all have inherent distractions that take the picker’s attention away from the task at hand.  Errors occur when a picker is at the pick face with similar or like items stored side by side and must look away from the item/location in order to enter or read information from an RF device or paper ticket.

Voice picking technology removes this inherent distraction faced by all selectors in DCs by utilizing a conversation with the system of record (WMS, ERP, Inventory System) to keep the picker focused on picking the correct item and quantity every time.

Here are a few examples of improvements achieved with our voice-directed picking application:

  • One company achieved a reduction of 50% in returns after implementing voice, resulting in nearly $1.3 million of savings in the first year.  
  • At one manufacturer, their shipping errors dropped in the first month from an average of 500 per week to only 3.
  • One company achieved 99.99% order accuracy, noting only 1 error per 7,000 cases  and reduced overall QA staff by 75%.

Want to know more? Reach out and we can discuss if voice can help solve some of your challenges at voice@mountainleverage.com.

Doug Hopper

Doug is an in-house Fulfilment Process Expert at Mountain Leverage with over 20 years of experience running supply chain operations throughout the USA for Nestle Company.  He brings valuable insight and experience to today’s distribution challenges.

 

What Causes Picking Errors?
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Why Industrial Voice Crushes Siri, Google, and Alexa

By DAN PAUL, VP of Customer Success

 

Love it or hate it, speech recognition technology is now a part of our daily life.  With U.S. revenue growth projections of 16% year over year, expect to find yourself talking to more and more machines over the course of your day.  Most people have had experience with automated phone systems and/or the myriad of personal electronic devices which have speech as the main user input (Alexa, Siri, Google, etc.).  Unfortunately, the user experience with these consumer-grade options leaves much to be desired.  I didn’t quite get that” messages and confounding translations (“10 percent” = “temper sent”??) can leave users ready to throw their devices out the window.

Anyone using the latest industrial grade voice recognition technologies will tell you that there exists a marked difference between consumer-grade speech recognition software and today’s industrial grade offerings.  We have identified the top four reasons for this improved performance.

  1. Accuracy
    1. As you might imagine, speech recognition is hard.  While great strides are being made in natural language processing (NLP), consumer systems still rely on something known as ‘Speaker Independent” recognition.  This means that the users of the system never train the system on how they talk and moreover, most of  these systems do not improve over time as they speak more and more into it.  With the wide array of accents, grammar, and speech patterns it takes massive computing power and a massive data set of examples to determine what someone is saying – and the mistakes are many with this variability.
    2. High-end Industrial Voice Systems use ‘Speaker Dependent’ recognition, which means that each individual user trains the system with their own voice.  This may sound like a large time investment, but most voice systems need only 50-70 phrases to handle typical operational workflows and training takes less than half an hour.  User-specific training means that person’s unique vocal patterns, accents, and language are used when determining what command or response the user is attempting to give.
  2. Hardware/Microphone
    1. Consumer grade speech recognition typically relies on picking up sound from a distance or from over a phone.  In both cases capturing good quality audio is challenging because of the varying volume levels, likelihood and presence of background noise, and varying quality levels of the device itself.
    2. The best industrial speech systems rely on rugged headsets which bring the microphone close to the source of the desired sound: the mouth.  In addition, microphone arrays cancel out background noise before it even reaches the speech processor.  By normalizing these components of sound (volume/gain, quality) you begin the race with a huge headstart.
  3. Performance
    1. Most consumer grade speech systems require connectivity to the internet to function.  Assuming that you have a strong and continuous connection, the response time for these systems can be pretty good due to the super computers crunching this sound data in the background.  But any break in connectivity brings your efforts to a halt.
    2. In contrast, many industrial systems perform speech recognition right on the device worn by the user.  This means that you are able to use the system even on a deserted island.  Also,the system is designed to allow only a limited array of phrases at any given time, ensuring that the recognition of these phrases is instantaneous – every time.
  4. Adaptive Recognition
    1. As previously stated, the data that is being collected and compiled for consumer grade recognition is enormous and growing.  This helps raise overall recognition scores, but does little for the individual experience.
    2. In contrast, industrial systems can adapt to your changing speech patterns.  As the day wears on, your voice changes somewhat. Hay fever or a common cold can drastically change your speech.  By taking constant samples of recognition scores and adjusting the underlying speech template for users, the system improves over time – even with changes in the user’s speech.

Speaker dependant voice-directed workflows in industrial settings,  now in use for over two decades, have become the de-facto standard in distribution center technology.  Mountain Leverage has been delivering voice solutions for over a decade to a fiercely loyal customer base who enjoy improvements in accuracy, productivity, training time, safety, employee satisfaction, and more.  We understand how speech recognition works and use it as a tool to deliver amazing results across many industries.  

Want to know more? Reach out and we can discuss if voice can help solve some of your challenges at voice@mountainleverage.com.

Dan Paul
Dan is the VP of Customer Success at Mountain Leverage. With over a dozen years of experience delivering voice solutions, Dan has a passion for helping companies discover and unlock their operational excellence.

Why Industrial Voice Crushes Siri, Google, and Alexa
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BlueStar, Inc.

Located in Hebron, KY, BlueStar Inc. is a distributor of point of sale and barcoding hardware/software. When their old picking system presented efficiency challenges, BlueStar upgraded to voice for their pick to tote operation. Watch as the management team discusses the implementation, working with the Mountain Leverage team, and overall results.

 

BlueStar, Inc.
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