These photos are clear on my side I've taken the photos twice and posted them.

33 COMPREHENSIVE CAM PARTS Comprehensive Case Predicting Retail Trends struction gewe the The of RFID (Rape ly d er than ever the Trying to put what's w hat our others r de Doncs and printing stopice du jour is were expected to continue to paren ay to the desire for speed and et t the e Here you Predictions of 2016 Retailing Trends to Be Wiertaling who lesa. Ne h e chang behin w t d whether t he tip of the web pertapa platnu can the bene Personalities Mission Cha We he is the prethe portaily bo n New d quality of ter Twinehanced its per with experie, si d h e w e will to be preur popularny waren in hey blocally they wed to have shes w w w.for rent L a Diretta hay uly 20th plebem is the will NCAA Partneri W e ww Thule the U Core is A stil S l , This will win www What happen te with ally d c whe omade p e n c e pper ided to be well the Milles to see Walgreens, The Walmart Cice, and even the been working with wach delivery startups as can Door dusk, and Deliv, w e ll as the widget the phones and colors, cred hay Ni MS bobo i n year 2015 Comence Expedience the Font back to Shopper C g werede er vi La miwili weary of prailing is met le 2015, a lyp s , but Adam Lippes All are e neratione peche by designes bests the o shoppers who can stay and the option from pl, San Anton fried covet. The key of wh o Year of the Mobile Asociate moves and out of the coup Nie May 15 proof why of 10 below big 314 PARTS MANAGING A RETAIL BUUNESS critical mass Tech empowered associates of considerable of January 2016. Along the planned mustry will endere shrinking store con the econdales and Walgreens Boots All Experts point out the leaner their devices in hand associates have the potential to better understaustomer preferences based on actual past purchases or wish liste With great power co r responsibility. The retail her the entire and the technology tools, and realize that afferent people shop differently. Not every customer is tech savvy, many visit shores for the experience lot Coming en PDO The Internet of Things (IoT) became thing in 2014 and it's going to be much bigger as time goes on. The McKinsey Global Institute recently forecast that lot ould have a total comic impact of Si trilion y 2025 the Even though much of the talk today is about the use of in home appliances and smartphones, the techo y really sets the stage for major big data development specifically in the form of the improved nels of supply chain efficiency and inventory management with lot, products can commun cate how they are actually being used, providing considerable insight into customer behavior and preferences Although this game-changing technology offers both potential cost savings and productivity enhancement, unes remain Standards are imperative; the industry must work with technology vendors to provide connected, interoperable com- ponents and systems. Another significant obstacle involves security and privacy concerns protecting both company and customer data to deat, Walmart's Neighborhood Markets sem part supercenters, and Target is expanding its rebranding City Target and Target get Kohl's plans to open between 10 as well One-size rarely fits all in apparel retailing. More se realizing the same can be said of their real estate Soon We'll Have Al Make the Predictions Retailers envision using the software algorithms the artificial intelligence (AI) including pattern reco deep Iraming neural networks, and computer vision rate the decisions that help shapecon experience. It can be used for product recommend dynais pricing and promotions, and it gets smarter over learning from the data. W e Al will become more rooted in the retail ind virtual reality (VR) is also knocking on the door. The pala use VR to create more immersive contextual experience tomized to highlight every brand's awes and strengthen the customer relationships. Regardless 's time to stand explore. Even though over 40 set may look asance at virtual reality, you pers who have been immersed in videogaming since they were knee high will be more inclined to embrace this new shopping experience, being dubbed V- ne Seeking the Mobile Toothbrush Forrester Research reported that mobile technology would fence shouts till in US spending in the year 2016 as mobile search shopping and social action becomes the centerpiece of customers always a way of life. Meanwhile, eMarketer reported that 25 percent of all U.S. E-commerce sales would take place via mobile devices by the end of 2016 According to Forest 4 people globally woodc be using smartphones by the end of 2016. The biggest challenge with this occurrence for retailers will he finding a way to effec tively carve out a bit of real estate on those devices Experts mobile api y aling the importance of desktop optimistice In 2016, "deep links to apps were projected to become much more prevalent Still the success of mobile apps comes down to their ease of use and the speed of purchase. If an app is to have real valo, it will need to pass the hot t es It has to prompt the consumer to use it every day. New Cybersecurity Threats Looming The cat-and-mouse game between retailers and cybercrimina shows no signs of whating Hackers will continue to find new wat e rworks, and retailers will contact do everything in their power to thwart these temps Faropay MasterCard and Visa chip-based credit cards wil provide an additional line of defense against counter and fraud, but expect a chorus of voices including the NRF, a to the ring a PIN to complete tion makes this a half-step forward best M eanwhile, retailer and consume concerns are shiting to other potentially unprotected opportunities for hack to other potentially un Merchant data warehous e nted data transmi and card not present transactions will be under scrutiny As the Internet of Things becomes more established in u tors need to keep an eye protecting the growing her on the part of criminals looking to steal perccal data by these devices M That Shrinking Feeling d to shut as many as 40 of its stores in early 2016. The Rise of the Data Scientis In mid-2016, Macy's announced plans to close an addi 100 stes Forty stores were on the chopping block d at data-driven decision making Intuition-based decision always play a role in retail but true los ht comes 335 PART 5 COMPREHENSIVE CASE bining different data sets points of sale, weather reports, shtraffic, competitors' pricing data, and even sensors. Every merchant and marketer needs to be in sync with he ever-connected customer, and they're challenged to go bove and beyond brand promises. That requires a continued hasis on breaking down organizational silos and connect data across and within the retail organization. Consider that the entire Uber experience is predicated on data science and recithms a high bar, indeed. It's been said that understanding data science helps mer. chants speak a language that contributes to the bottom line day 1. Although it's a huge opportunity, a considerable conundrum remains: There is a dearth of data scientists today and those retailers looking to tap into this expertise are finding that moving from aspiration to action is a longer process than anticipated Questions 1. What are the three most important trends cited in this case? Explain your answer. to date what are the three most accurate prediction in the case? Explain your answer. To date what are the three least accurate predictions chico in the case? Explain your answer. How can retail employees be motivated in today as changing marketplace? 5. Present a ich description for one new retail job that will be created as a result of the trends cited in this case. 6 How will the trends cited in this case enable retailers to do better job in profit planning? 7. On the basis of the trends discussed in this case, should retailers do more or less outsourcing of employee tasks? Why? DABIS Comprehensive Case Printed PART 5. COMPREHENSIVE CASE 335 combining different data sets-points of sale, weather reports, web traffic, competitors pricing data, and even sensors. Every merchant and marketer needs to be in sync with the ever-connected customer, and they're challenged to go above and beyond brand promises. That requires a continued emphasis on breaking down organizational silos and connect ing data across and within the retail organization. Consider that the entire Uber experience is predicated on data science and algorithms a high bar, indeed. It's been said that understanding data science helps mer chants speak a language that contributes to the bottom line from day 1. Although it's a huge opportunity, a considerable conundrum remains: There is a dearth of data scientists today and those retailers looking to tap into this expertise are finding that moving from aspiration to action is a longer process than anticipated Questions 1. What are the three most important trends cited in this case? Explain your answer. 2. To date, what are the three most accurate predictions cited in the case? Explain your answer. 3. To date, what are the three least accurate predictions cited in the case? Explain your answer. 4. How can retail employees be motivated in today's fast- changing marketplace? 5. Present a job description for one new retail job that will be created as a result of the trends cited in this case, 6. How will the trends cited in this case enable retailers to do a better job in profit planning? 7. On the basis of the trends discussed in this case, should retailers do more or less outsourcing of employee tasks? Why? 33 COMPREHENSIVE CAM PARTS Comprehensive Case Predicting Retail Trends struction gewe the The of RFID (Rape ly d er than ever the Trying to put what's w hat our others r de Doncs and printing stopice du jour is were expected to continue to paren ay to the desire for speed and et t the e Here you Predictions of 2016 Retailing Trends to Be Wiertaling who lesa. Ne h e chang behin w t d whether t he tip of the web pertapa platnu can the bene Personalities Mission Cha We he is the prethe portaily bo n New d quality of ter Twinehanced its per with experie, si d h e w e will to be preur popularny waren in hey blocally they wed to have shes w w w.for rent L a Diretta hay uly 20th plebem is the will NCAA Partneri W e ww Thule the U Core is A stil S l , This will win www What happen te with ally d c whe omade p e n c e pper ided to be well the Milles to see Walgreens, The Walmart Cice, and even the been working with wach delivery startups as can Door dusk, and Deliv, w e ll as the widget the phones and colors, cred hay Ni MS bobo i n year 2015 Comence Expedience the Font back to Shopper C g werede er vi La miwili weary of prailing is met le 2015, a lyp s , but Adam Lippes All are e neratione peche by designes bests the o shoppers who can stay and the option from pl, San Anton fried covet. The key of wh o Year of the Mobile Asociate moves and out of the coup Nie May 15 proof why of 10 below big 314 PARTS MANAGING A RETAIL BUUNESS critical mass Tech empowered associates of considerable of January 2016. Along the planned mustry will endere shrinking store con the econdales and Walgreens Boots All Experts point out the leaner their devices in hand associates have the potential to better understaustomer preferences based on actual past purchases or wish liste With great power co r responsibility. The retail her the entire and the technology tools, and realize that afferent people shop differently. Not every customer is tech savvy, many visit shores for the experience lot Coming en PDO The Internet of Things (IoT) became thing in 2014 and it's going to be much bigger as time goes on. The McKinsey Global Institute recently forecast that lot ould have a total comic impact of Si trilion y 2025 the Even though much of the talk today is about the use of in home appliances and smartphones, the techo y really sets the stage for major big data development specifically in the form of the improved nels of supply chain efficiency and inventory management with lot, products can commun cate how they are actually being used, providing considerable insight into customer behavior and preferences Although this game-changing technology offers both potential cost savings and productivity enhancement, unes remain Standards are imperative; the industry must work with technology vendors to provide connected, interoperable com- ponents and systems. Another significant obstacle involves security and privacy concerns protecting both company and customer data to deat, Walmart's Neighborhood Markets sem part supercenters, and Target is expanding its rebranding City Target and Target get Kohl's plans to open between 10 as well One-size rarely fits all in apparel retailing. More se realizing the same can be said of their real estate Soon We'll Have Al Make the Predictions Retailers envision using the software algorithms the artificial intelligence (AI) including pattern reco deep Iraming neural networks, and computer vision rate the decisions that help shapecon experience. It can be used for product recommend dynais pricing and promotions, and it gets smarter over learning from the data. W e Al will become more rooted in the retail ind virtual reality (VR) is also knocking on the door. The pala use VR to create more immersive contextual experience tomized to highlight every brand's awes and strengthen the customer relationships. Regardless 's time to stand explore. Even though over 40 set may look asance at virtual reality, you pers who have been immersed in videogaming since they were knee high will be more inclined to embrace this new shopping experience, being dubbed V- ne Seeking the Mobile Toothbrush Forrester Research reported that mobile technology would fence shouts till in US spending in the year 2016 as mobile search shopping and social action becomes the centerpiece of customers always a way of life. Meanwhile, eMarketer reported that 25 percent of all U.S. E-commerce sales would take place via mobile devices by the end of 2016 According to Forest 4 people globally woodc be using smartphones by the end of 2016. The biggest challenge with this occurrence for retailers will he finding a way to effec tively carve out a bit of real estate on those devices Experts mobile api y aling the importance of desktop optimistice In 2016, "deep links to apps were projected to become much more prevalent Still the success of mobile apps comes down to their ease of use and the speed of purchase. If an app is to have real valo, it will need to pass the hot t es It has to prompt the consumer to use it every day. New Cybersecurity Threats Looming The cat-and-mouse game between retailers and cybercrimina shows no signs of whating Hackers will continue to find new wat e rworks, and retailers will contact do everything in their power to thwart these temps Faropay MasterCard and Visa chip-based credit cards wil provide an additional line of defense against counter and fraud, but expect a chorus of voices including the NRF, a to the ring a PIN to complete tion makes this a half-step forward best M eanwhile, retailer and consume concerns are shiting to other potentially unprotected opportunities for hack to other potentially un Merchant data warehous e nted data transmi and card not present transactions will be under scrutiny As the Internet of Things becomes more established in u tors need to keep an eye protecting the growing her on the part of criminals looking to steal perccal data by these devices M That Shrinking Feeling d to shut as many as 40 of its stores in early 2016. The Rise of the Data Scientis In mid-2016, Macy's announced plans to close an addi 100 stes Forty stores were on the chopping block d at data-driven decision making Intuition-based decision always play a role in retail but true los ht comes 335 PART 5 COMPREHENSIVE CASE bining different data sets points of sale, weather reports, shtraffic, competitors' pricing data, and even sensors. Every merchant and marketer needs to be in sync with he ever-connected customer, and they're challenged to go bove and beyond brand promises. That requires a continued hasis on breaking down organizational silos and connect data across and within the retail organization. Consider that the entire Uber experience is predicated on data science and recithms a high bar, indeed. It's been said that understanding data science helps mer. chants speak a language that contributes to the bottom line day 1. Although it's a huge opportunity, a considerable conundrum remains: There is a dearth of data scientists today and those retailers looking to tap into this expertise are finding that moving from aspiration to action is a longer process than anticipated Questions 1. What are the three most important trends cited in this case? Explain your answer. to date what are the three most accurate prediction in the case? Explain your answer. To date what are the three least accurate predictions chico in the case? Explain your answer. How can retail employees be motivated in today as changing marketplace? 5. Present a ich description for one new retail job that will be created as a result of the trends cited in this case. 6 How will the trends cited in this case enable retailers to do better job in profit planning? 7. On the basis of the trends discussed in this case, should retailers do more or less outsourcing of employee tasks? Why? DABIS Comprehensive Case Printed PART 5. COMPREHENSIVE CASE 335 combining different data sets-points of sale, weather reports, web traffic, competitors pricing data, and even sensors. Every merchant and marketer needs to be in sync with the ever-connected customer, and they're challenged to go above and beyond brand promises. That requires a continued emphasis on breaking down organizational silos and connect ing data across and within the retail organization. Consider that the entire Uber experience is predicated on data science and algorithms a high bar, indeed. It's been said that understanding data science helps mer chants speak a language that contributes to the bottom line from day 1. Although it's a huge opportunity, a considerable conundrum remains: There is a dearth of data scientists today and those retailers looking to tap into this expertise are finding that moving from aspiration to action is a longer process than anticipated Questions 1. What are the three most important trends cited in this case? Explain your answer. 2. To date, what are the three most accurate predictions cited in the case? Explain your answer. 3. To date, what are the three least accurate predictions cited in the case? Explain your answer. 4. How can retail employees be motivated in today's fast- changing marketplace? 5. Present a job description for one new retail job that will be created as a result of the trends cited in this case, 6. How will the trends cited in this case enable retailers to do a better job in profit planning? 7. On the basis of the trends discussed in this case, should retailers do more or less outsourcing of employee tasks? Why