Logistics 2.0: How Mobile Barcode Scanning, Google Glass and the Internet of Things impact the Logistics Industry

Transcription

1 Logistics 2.0: How Mobile Barcode Scanning, Google Glass and the Internet of Things impact the Logistics Industry Dr. Samuel Mueller CEO and Swisslog Logistik-Tag, Sulser Logistics Solutions, 5. Juni 2014

2 ABOUT

3 3 SCANDIT - OVERVIEW Scandit s software-based barcode scanning and data capture platform brings the power of enterprise-grade barcode scanning and added optical recognition features to smartphones, tablets and wearable devices, enabling organisations to differentiate through innovation, deliver dynamic new consumer/employee interactions, maximize operational performance and drive new revenue streams.

4 4 HAPPY LICENSEES

5 ENTERPRISE TRENDS

6 6 MOBILE PHONE EVOLUTION Image Source:

7 7 MOBILE COMMERCE Mobile is dramatically changing our way of doing business Brick & Mortar Retailers Grocery Stores Online Retailers Brand Owners Independent Product Portals Coupon Sites Mobile Payment Provider Price Comparison Engines with consumer-facing and employee-facing apps.

8 8 CONSUMERIZATION OF THE ENTERPRISE

9 9 BRING YOUR OWN DEVICE (BYOD)

10 MOBILE AIDC TECHNOLOGIES

11 11 AIDC TECHNOLOGIES Barcodes RFID/NFC OCR and Image Recognition Biometrics Magnetic Stripes Smartcards Voice Recognition

12 12 PAST: DEDICATED HARDWARE

13 13 BARCODE SCANNER NON-EVOLUTION Image Source:

14 MOBILE BARCODE SCANNING

15 15 SCANDIT ENABLES SW-BASED AIDC ON SMARTPHONES, TABLETS, WEARABLES Great scan performance Ruggedized ** Not limited to ID but also supporting mobile OCR, image recognition, etc. Great scan** performance Ruggedizable* Outdated HW and SW Clunky Only for heavy users High TCO * 60% of current customers do not actually require ruggedness. Rugged accessories / cases can provide certified drop, dust, water and fire protection and improved ergonomics Modern HW and SW Excellent UX Dedicated and BYOD users Low TCO Cloud Services

16 16 BARCODE SCANNER COMPARISON

17 Number of Mobile Devices per Application 17 LEVERAGE BYOD FOR MOBILE AIDC SW-based BYOD Scanner Number of Scans per Day and Application Dedicated Scanners

18 18 DEMO VIDEO

19 19 BARCODE SCANNING WITH $35 RASPBERRY PI? Every Android phone is a Linux device Our scanner works reliably On $50 Android phones With a 600 MHz ARM CPU and A 240x320 camera Raspberry PI with Camera Module and Scandit Barcode Scanner Runs on Raspberry Pi ($35) With Raspberry Pi Camera Module (Fixed Focus 5MP) Barcode Scanner with Ethernet and USB port Motorola SE4500 plus Decoder Board (Image Source: Motorola Solutions)

20 PARTS TRACKING

21 21 PARTS TRACKING USE CASE Goal: Gobal hardware manufacturer needs to track hardware parts across entire organization Enable 10,000+ technical employees to participate in QA process Two traditional approaches: 1. Dedicated handheld scanners 2. Desktop / web-based solution

22 22 MOBILE PARTS TRACKING Solution: Print tiny 4x4mm Datamatrix codes and/or Code39 stickers on HW parts Track and trace app with enterprise-grade scan performance for occasional use Benefits: Increased efficiency by extending hardware tracking to thousands of employees via personal devices Seamless evolution from occasional to heavy users Better governance of hardware parts by management Significant cost savings compared to solutions based on dedicated scanners

23 MOBILE SHOPPING

24 24 M-SHOPPING WITH SCANDIT

25 25 M-SHOPPING WITH SCANDIT+GEAR

26 26 GLASS POWERED BY SCANDIT

27 PROCUREMENT

28 28 PROCUREMENT USING SCANDIT

29 ORDER FULFILLMENT

30 30 WEARABLE AIDC DEVICES BYOG?

31 31 EXAMPLE: WAREHOUSE LOGISTICS Typical Warehouse Logistics Process: 1. Get information about an item that should be picked 2. Find location of the item in the warehouse 3. Find out best and shortest path to reach the item 4. Reach the place 5. Scan the location of the item 6. Pick the item 7. Scan the item(s) 8. Scan the trolley carried by the picker 9. Move to the next item being that must be picked 10. Continue until all items in the pick cycle are picked 11. Hand items over for packaging and further processing

32 32 ORDER FULFILLMENT THROUGH SCANDIT S «PICK BY VISION»

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34 34 WEARABLE COMPUTING USE CASES FOR INTRALOGISTICS

35 INTERNET OF THINGS

36

37 37 NEST SMART THERMOSTAT Source: abcnews.go.com

38 38 AUGUST SMART LOCK Source:

39 39 SMARTTHINGS SMART HOME Source:

40 40 SELF-DRIVING CARS Source: en.wikipedia.org/wiki/google_driverless_car

41 CONCLUSION

42 42 SUMMARY Smartphones, tablets and wearable computing devices are disrupting data capture in logistics processes by emulating AIDC technologies. Smartphones, tablets and wearable devices are more appealing, less expensive, often less complex and more readily available than devices traditionally used. Everyone, even occasional users with their own devices, can participate in a business process (BYOD). Mobile AIDC technologies form the basis for sophisticated Internet of Things applications Rapid innovation in consumer space will directly impact logistics and other industries such as healthcare or manufacturing.

43 THANK YOU

44 44 MORE INFORMATION Barcode Scanning SDKs: Barcode Scanner TCO Comparison: Mobile Device Ruggedization: Case Studies: Use cases: Blog: Videos: