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LYCRA? F!TFinder - A Solution to Find the Optimal Size for Hosiery - Richard Barnes, Select Research; Maciej Kopytek, Ferax; Wim Bakker, INVISTA

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LYCRAbrand

Consumer insights have shown that a high percentage of women have difficulty finding hosiery that fits and feels comfortable. This insight led INVISTA to develop a trial app called LYCRA? F!T FINDER to help customers find the right size based on their body measurements and digital body scans. Guests at last week¡¯s LYCRA? FIBER MOVES event were invited to test the app and commented on how user-friendly it is. Previous research demonstrated that more than 75% of women surveyed found it engaging and user-friendly with more than 90% saying they would recommend it to friends.

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LYCRA? F!tFinder A Solution To Find The Optimal Size For Hosiery R. Barnes - Select Research M. Kopytek - Ferax W. Bakker - INVISTA
Consumer Insight On Sizing 2 Consumer Typologies & Insights Gilds, 2013 Size and comfort are the most important of 13 statements, with 90% of the women rate these as important
Consumer Insight On Sizing 3 When buying this product, how important is sizing? Not importantImportant When wearing this product, how did it perform in terms of sizing? Did not performPerform Lifestyle Compression Typologies Gilds, 2014
The Hosiery Sizing Landscape 4 A Standard Size Chart ? Sizing charts are based on dimensions which are not very meaningful to predict the body shapes of the relevant body parts (panty, leg) 40 45 50 55 60 65 70 75 80 85 90 95 100 cm 145 150 XS 155 S 160 165 M 170 175 L XL 180 185 kg Serious obesity Moderate obesity Overweight Normal Underweight 40 45 50 55 60 65 70 75 80 85 90 95 100 cm 145 19 21 24 26 29 31 33 36 38 40 150 18 20 22 24 27 29 31 33 36 38 155 17 19 21 23 25 27 29 31 33 35 37 40 160 16 18 20 21 23 25 27 29 31 33 35 37 165 15 17 18 20 22 24 26 28 29 31 33 35 170 14 16 17 19 21 22 24 26 28 29 31 33 175 13 15 16 18 20 21 23 24 26 28 29 31 180 12 14 15 17 19 20 22 23 25 26 28 29 185 12 13 15 16 18 19 20 22 23 25 26 28 kg A BMI Chart ? Within the same hosiery size, big differences in body shapes can be found ? How representative is your test group? How is it changing with time?
On The Search For A Solution 5 ? That will appeal to the consumers ? That is applicable for elastic garments ? Using technology that is mobile, easy to use and affordable ? A solution based on individual, meaningful body shape data
? Select Research => Provider of mobile scanning technology ? Ferax => Evaluation of the retail experience ? INVISTA => Development of technology for stretch garments => Project sponsor A True Partnership 6
Creating 3D Body Volume Technology Richard Barnes CEO Select Research LYCRA? F!tFinder
8 Select Research ¨C 3D Sizing History
9 What Was Missing In Hosiery Fit?
Body Volume ¡°engine¡± BVI-predEq ¡®3D Model¡¯¡¯ How The LYCRA? F!tFinder Works
How The 3D ¡®Model¡¯ Is Created
? Focus was on ¡®stretch¡¯ to get the true fit ? Focus was on lower body measurements ? Focus was on a better fit for customers ? Focus was on a marketing tool for retailers ? The unknown was what the customer would think of the application ? INVISTA approached one of their clients for sponsorship and live tests planned ? This is a world first in measurement of the human body in hosiery ? INVISTA have practiced what they preach and funded true innovation 12 The Next Steps
Maciej Kopytek Ferax Consumer Experience LYCRA? F!tFinder
Technology ? Size measurements were last taken in 1984 ? The body shapes are changing ? Two years ago we found out at LFM that Perfect Fit is one of the main factors when choosing a hosiery ? Fit Finder brought us the data 14 Motivation To Participation Marketing ? Building Brand Loyalty and a trust towards a product ? Increasing Trust towards a Gatta product ? Educational aspect of building awareness of one size
15 Flowchart of the project Collecting The Data ? 280 people ? 2 weeks ? First impression ? Checking technology Data Analysis ? New segmentation of body shapes ? Comparison to product dimensions Application Development ? Process creation ? User Experience ? Layouts with LYCRA? logos Testing ? Data transfers ? Legal issues ? Scanning accuracy ? Store Layouts Go Live! ? Store Set-up ? Team Training ? Surveys JUNE 2015 JULY 2015 SEPTEMBER 2015 NOVEMBER 2015 JANUARY 2016
16 Collecting Data
17 Collecting Data
18 1. Do you think the LYCRA? F!T FINDER app is engaging/ user friendly ? 2. Would you recommend to your friends? Questionnaire Analysis 90% 10% Yes No 95% 5% Yes No
19 3. Would you use this application again for a different style/ garment? 4. Would you use this application in a shop for example : Store Gatta? Questionnaire Analysis 86% 14% Yes No 93% 7% Yes No
20 6. Did the recommended size FIT you better ?5. Did the LYCRA? F!T FINDER app give you a different size that you would normally have picked Questionnaire Analysis 20%80% Yes No 84% 16% Yes No
21 Go Live!
22 Go Live!
23 Go Live!
24 TUESDAY
25 Users Opinions ? It¡¯s great that I can scan my body without getting undressed¡± Magda, ?¨®d? ? I was surprised with the results in the beginning but the new size fits me better.¡± Marta, Katowice ? I would like to have this application on my smartphone.¡±Alina, Warszawa?It works fast and is easy to use.¡± Kamila, Zdu¨½ska Wola ?Great idea for an application.¡± Anna, ?¨®d?
? Mobile scanning technology is expected to become reality and an important trend ? Fits in the selfie and body control mega trend ? Fits in the need for personalization ? The camera¡¯s become better and better The Key Learnings 26 ? Use of this technology for elastic garments is novel and requires a different approach than non-elastic garments ? Stretch-To-fit versus Size-To-Fit ? Consumers want and like such technology ? The technology has proven to work in a small retail test
? Technology useable at home The Desired End State 27 ? Multi platform ? Smart phones and tablets ? iOs, Android and Windows ? Easy to use, robust and consumer friendly ? A tool for market research
? Consumer ? More comfortable garments ? Special retail experience ? Easy on-line shopping Possible Benefits 28 ? Brand / retailers ? Create loyalty of existing customer base ? More satisfied customers ? Get new (younger?) customers ? Acquire up-to-date and an expanding body shape data base ? Analyse body shape for better garment design ? Potential for consumer research through app ? Key element for e-commerce strategy
? Development ? Optimizing of app ? Expansion from iPad to other platform ? Body Shape Data ? Acquire data for other countries ? Financials ? Understand the financial impact How To Get There 29 ? Partners for next tests are welcomed
Feel Free To Watch The Live Demonstration 30 Thank You For Your Attention An Enjoyable Evening

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LYCRA? F!TFinder - A Solution to Find the Optimal Size for Hosiery - Richard Barnes, Select Research; Maciej Kopytek, Ferax; Wim Bakker, INVISTA

  • 1. LYCRA? F!tFinder A Solution To Find The Optimal Size For Hosiery R. Barnes - Select Research M. Kopytek - Ferax W. Bakker - INVISTA
  • 2. Consumer Insight On Sizing 2 Consumer Typologies & Insights Gilds, 2013 Size and comfort are the most important of 13 statements, with 90% of the women rate these as important
  • 3. Consumer Insight On Sizing 3 When buying this product, how important is sizing? Not importantImportant When wearing this product, how did it perform in terms of sizing? Did not performPerform Lifestyle Compression Typologies Gilds, 2014
  • 4. The Hosiery Sizing Landscape 4 A Standard Size Chart ? Sizing charts are based on dimensions which are not very meaningful to predict the body shapes of the relevant body parts (panty, leg) 40 45 50 55 60 65 70 75 80 85 90 95 100 cm 145 150 XS 155 S 160 165 M 170 175 L XL 180 185 kg Serious obesity Moderate obesity Overweight Normal Underweight 40 45 50 55 60 65 70 75 80 85 90 95 100 cm 145 19 21 24 26 29 31 33 36 38 40 150 18 20 22 24 27 29 31 33 36 38 155 17 19 21 23 25 27 29 31 33 35 37 40 160 16 18 20 21 23 25 27 29 31 33 35 37 165 15 17 18 20 22 24 26 28 29 31 33 35 170 14 16 17 19 21 22 24 26 28 29 31 33 175 13 15 16 18 20 21 23 24 26 28 29 31 180 12 14 15 17 19 20 22 23 25 26 28 29 185 12 13 15 16 18 19 20 22 23 25 26 28 kg A BMI Chart ? Within the same hosiery size, big differences in body shapes can be found ? How representative is your test group? How is it changing with time?
  • 5. On The Search For A Solution 5 ? That will appeal to the consumers ? That is applicable for elastic garments ? Using technology that is mobile, easy to use and affordable ? A solution based on individual, meaningful body shape data
  • 6. ? Select Research => Provider of mobile scanning technology ? Ferax => Evaluation of the retail experience ? INVISTA => Development of technology for stretch garments => Project sponsor A True Partnership 6
  • 7. Creating 3D Body Volume Technology Richard Barnes CEO Select Research LYCRA? F!tFinder
  • 8. 8 Select Research ¨C 3D Sizing History
  • 9. 9 What Was Missing In Hosiery Fit?
  • 10. Body Volume ¡°engine¡± BVI-predEq ¡®3D Model¡¯¡¯ How The LYCRA? F!tFinder Works
  • 11. How The 3D ¡®Model¡¯ Is Created
  • 12. ? Focus was on ¡®stretch¡¯ to get the true fit ? Focus was on lower body measurements ? Focus was on a better fit for customers ? Focus was on a marketing tool for retailers ? The unknown was what the customer would think of the application ? INVISTA approached one of their clients for sponsorship and live tests planned ? This is a world first in measurement of the human body in hosiery ? INVISTA have practiced what they preach and funded true innovation 12 The Next Steps
  • 14. Technology ? Size measurements were last taken in 1984 ? The body shapes are changing ? Two years ago we found out at LFM that Perfect Fit is one of the main factors when choosing a hosiery ? Fit Finder brought us the data 14 Motivation To Participation Marketing ? Building Brand Loyalty and a trust towards a product ? Increasing Trust towards a Gatta product ? Educational aspect of building awareness of one size
  • 15. 15 Flowchart of the project Collecting The Data ? 280 people ? 2 weeks ? First impression ? Checking technology Data Analysis ? New segmentation of body shapes ? Comparison to product dimensions Application Development ? Process creation ? User Experience ? Layouts with LYCRA? logos Testing ? Data transfers ? Legal issues ? Scanning accuracy ? Store Layouts Go Live! ? Store Set-up ? Team Training ? Surveys JUNE 2015 JULY 2015 SEPTEMBER 2015 NOVEMBER 2015 JANUARY 2016
  • 18. 18 1. Do you think the LYCRA? F!T FINDER app is engaging/ user friendly ? 2. Would you recommend to your friends? Questionnaire Analysis 90% 10% Yes No 95% 5% Yes No
  • 19. 19 3. Would you use this application again for a different style/ garment? 4. Would you use this application in a shop for example : Store Gatta? Questionnaire Analysis 86% 14% Yes No 93% 7% Yes No
  • 20. 20 6. Did the recommended size FIT you better ?5. Did the LYCRA? F!T FINDER app give you a different size that you would normally have picked Questionnaire Analysis 20%80% Yes No 84% 16% Yes No
  • 25. 25 Users Opinions ? It¡¯s great that I can scan my body without getting undressed¡± Magda, ?¨®d? ? I was surprised with the results in the beginning but the new size fits me better.¡± Marta, Katowice ? I would like to have this application on my smartphone.¡±Alina, Warszawa?It works fast and is easy to use.¡± Kamila, Zdu¨½ska Wola ?Great idea for an application.¡± Anna, ?¨®d?
  • 26. ? Mobile scanning technology is expected to become reality and an important trend ? Fits in the selfie and body control mega trend ? Fits in the need for personalization ? The camera¡¯s become better and better The Key Learnings 26 ? Use of this technology for elastic garments is novel and requires a different approach than non-elastic garments ? Stretch-To-fit versus Size-To-Fit ? Consumers want and like such technology ? The technology has proven to work in a small retail test
  • 27. ? Technology useable at home The Desired End State 27 ? Multi platform ? Smart phones and tablets ? iOs, Android and Windows ? Easy to use, robust and consumer friendly ? A tool for market research
  • 28. ? Consumer ? More comfortable garments ? Special retail experience ? Easy on-line shopping Possible Benefits 28 ? Brand / retailers ? Create loyalty of existing customer base ? More satisfied customers ? Get new (younger?) customers ? Acquire up-to-date and an expanding body shape data base ? Analyse body shape for better garment design ? Potential for consumer research through app ? Key element for e-commerce strategy
  • 29. ? Development ? Optimizing of app ? Expansion from iPad to other platform ? Body Shape Data ? Acquire data for other countries ? Financials ? Understand the financial impact How To Get There 29 ? Partners for next tests are welcomed
  • 30. Feel Free To Watch The Live Demonstration 30 Thank You For Your Attention An Enjoyable Evening