Voice Fundamentals Intermec Bucharest Oct 2011

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    Vocollect 2010Training

    Vocollect Voice & other

    Technologies

    Frank RisslerRegion ManagerCentral & Eastern Europe

    Avitech -IntermecLogistic ConferenceBucharest October

    2011

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    Vocollect, a business unit of Intermec

    Founded 1987- based in Pittsburgh, PARegional offices in Miami, London, Tokyo and Hong Kong

    350 employees worldwide

    1,750 global team including partners

    Pioneered use of voice in industrial settings

    Over 250,000 users in 55 countries- 28 languages

    More than $2 billion worth of goods moved daily

    Sales exceed $100M (nearly 50% in EMEA)

    15% of annual sales invested on R&D

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    What is Vocollect Voice?

    Term that represents Vocollects 20+ years ofexperience in Voice

    Includes expertise in:

    Voice recognition technology

    Design & manufacture of durable equipment foruse in distribution environments

    Development of optimized voice applications

    Voice from different providers is DIFFERENT!

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    Many Potential Business Applications

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    How Vocollect Works

    Assignment from WMS

    transmitted to user worn

    voice terminal via 802.11b

    WLAN

    Voice terminal translates

    assignment data into audiblecommands

    User provides spoken

    responses to confirm actions

    taken

    Responses translated to data

    Host system updated

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    Vocollect VoiceWorld Suite:

    Hardware platforms

    Talkman wearable devices

    Vocollect Voice for Handhelds

    Accessories: Headsets, chargers, etc.

    Software

    VoiceClient software

    VoiceConsole management software

    Voice application software

    Development Tools

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    The Voice-Centric Warehouse An Evolution

    Evolution of the Voice-Centric Warehouse:

    Likely starts with voice-centric picking

    Adds cycle-counting, put-away, put-to-store, replenishment

    Adds outbound receiving

    Receiving Put Away Selection Replenish Outbound

    V

    VVVV

    V

    VVVV

    VVV

    VV

    V

    VVVV

    VVVVV

    VVVVV

    VVV

    SSS

    VVV

    SSS

    DDD

    V VoiceS ScanningD - Display

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    Talkman T2x

    Wearable Computers

    Talkman T5 & A500SL-4

    VMT for T5

    Talkman T1

    CK3

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    Vocollect Speech Recognition Headsets

    SR - 15

    SR - 40

    SR - 30 SR - 35

    SRX Wireless Headset

    SR - 20

    SR - 14

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    Vocollect Voice on Handhelds (VVH)

    VoiceClient

    VoiceClient

    VoiceClient

    VoiceClient

    Vocollect Talkman

    Managing the Client,Device and Task

    VoiceConsole

    VoiceLink or PartnerTask

    APPLICATION

    INFRASTRUCTURE

    VoiceLink or PartnerApplication Middleware

    WMS DevelopedProcess Logic

    Vocollect SR-series

    industrial headsets and

    device specific

    adapters

    VoiceWorld Suite Integration Options

    VoiceDirect or PartnerTask

    Voice Interface Objects

    Direct Interface

    Business Logic /Back-end Workflow

    Process Logic /Operator Dialogue

    WMS

    12 3

    Device

    Instruction

    Set

    VIO API

    Licensed VocollectSoftware

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    Key Benefits of Vocollect Voice

    AccuracyCheck digits confirm slot location

    99.99% order accuracy with voice

    achievableProductivity

    No paper, labels, or RF screens to read or handle

    15% - 20% increase in full case pick

    Up to 50% increase in piece pick

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    Key Benefits of Vocollect Voice

    TrainingAbout a 50% reduction in training timecompared to other methods

    High degree of worker acceptance

    Supports multiple languages

    Safety

    Eliminates need to read or key in informationWorkers are more focused

    Hands free, eyes free

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    Key Benefits of Vocollect Voice

    Rapid PayoffDecrease in errors higher throughput

    significant cost savings

    Typical return on investment is 9 12 months

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    Vocollect Compared to Paper/Labels

    Vocollect Advantage

    Extreme Accuracy

    Reduce errors by 85% vs. paper and labels

    Productivity

    Increased throughout- 10 - 15+% gains

    Training

    50% reduction in end-user-training

    Periodically during a shift: Travel to assignment point

    Sort / get labels or find list

    Travel to desk to

    reconcile discrepancies

    Data entry (if required)

    all are eliminated with Vocollect

    Elapsed Time

    Vocollect

    Paper &

    Labels

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    Vocollect Compared to RF Scanning

    Elapsed Time

    Vocollect

    RF

    Scanning

    Vocollect Advantage

    Accuracy

    Less errors- 24 less errors per 1,000

    Productivity

    Increased throughout- 15 - 25+% gains

    Training

    50% reduction in end-user-training

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    How does Vocollect Voice Compare?

    3

    rd

    party research: REFA Federal AssociationCompared Voice, Paper, and Scanning

    4 types of picking

    Item pickingCase Picking

    Item & Case Picking

    Multiple Order Picking120 pick jobs, 1800 picks, 3840 articles

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    Detailed results, unadjustedPaper Scanning Voice Improvement

    %

    Improvement

    %

    Pick

    Method Average minutes per trip

    Voice vs.

    Paper

    Voice vs.

    Scanning

    Piece Pick 6.404 5.082 4.189 35% 18%

    Unit Pick 7.744 7.549 5.816 25% 23%

    Mixed

    Pick

    6.562 5.916 4.847 26% 18%

    Batch

    PickN/A 8.465 5.398 N/A 36%

    How does Vocollect Voice Compare?

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    Detailed results, adjusted*

    How does Vocollect Voice Compare?

    Paper Scanning Voice Improvement%

    Improvement

    %

    Pick

    Method Average minutes per trip

    Voice vs.

    Paper

    Voice vs.

    Scanning

    Piece Pick 3.711 2.893 1.779 52% 39%

    Unit Pick 4.381 4.143 3.084 30% 26%

    Mixed

    Pick

    3.538 3.104 1.990 44% 36%

    Batch

    PickN/A 4.206 2.981 N/A 29%

    *Transport and travel time removed

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    -

    1.000

    2.000

    3.000

    4.0005.000

    6.000

    7.000

    8.000

    9.000

    Piece Picking Case Picking Mixed

    Picking

    (piece &

    units)

    Batch

    Picking

    The Result (including transport & travel time)

    Paper

    Scanning

    Voice

    How does Vocollect Voice Compare?

    Minutes

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    Vocollect Compared to Pick-to-Light

    PTL investment based on numberof SKUs- very expensive*

    PTL inflexible and not portable*

    PTL difficult to reconfigure*

    PTL zone and batch limitations*

    PTL offers limited hands and eyesfree activities*

    * Source- Gartner

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    Value of Vocollect Compared to

    Paper and Labels RF Scanning Pick-to-Light

    Productivity 10 - 15% slower 10 - 25% slower Same

    Accuracy10 - 20 more errors per 1000items

    2 - 4 more errors per 1000 items 2 - 4 errors per 1000 items

    Training 2x longer 2x - 3x longer Same

    Issues Lack of real-time visibilityand accountability:inventory, people, systemupdate

    Difficult to batch-pick

    Data entry errors

    Labor and materials cost tohandle paper

    Not hands-/eyes-free

    Average 2 weeks of training

    Operator is distracted: dataentry, read, scan

    Safety issues (Heads-down)

    Not ergonomic

    Not hands-/eyes-free

    Battery issues

    Many points of failure (requiresback-up inventory of equipment)

    Inflexible

    Expensive to add SKUs

    Cant efficiently manage twoorder selectors in one zone

    Difficult to batch-pick

    Sized based on SKUs vs.people

    Thousands of points of failure(we are talking about lights)

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    Speaker Dependent Recognizer

    Why?

    Dialect

    Semi clean

    Dialect

    Cleanlanguage

    Semi clean

    In a language where you have good experience

    Where you collected a lot of voice templates

    Where you learned to tweak and optimize the system

    Where the environment and external noise is not too bad

    ..speaker independent works to an acceptable level

    Its still more wordy though, as usually it uses catch phrases!

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    Speaker Dependent Recognizer

    Why?

    Dialect

    Semi clean

    Dialect

    Cleanlanguage

    Semi clean

    The less experience you have with a language

    The less voice templates you collected

    The less opportunities you had to learn how to optimize the system

    Where the environment and external noise is challenging

    ..speaker independent will cause more repeats and drop ins!

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    Speaker Dependent Recognizer

    Why? Speaker dependent is working with any language or dialect!

    Dialect

    Semi clean

    Dialect

    Cleanlanguage

    Semi clean

    But if you use Speaker dependent, you cover ALL! languages and dialects withthe same and best possible quality!!!

    Means less than 30 min training of voice profiles = 1800 sec

    If you have 3 drop ins or repeats per day @ 10 sec = 30 sec

    If you have 260 working days = 7800 sec

    So per year the less performing recognition costs 130 min

    Compared to 30 min training, ROI for this will be after 2.8 months!!!

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    Questions ???

    www.vocollect.com