NEXT GENERATION IN-STORE TECHNOLOGY: containing 11 chapters.
Chapter 4 of 11.
NEXT GENERATION IN-STORE TECHNOLOGY: containing 11 chapters.
Chapter 4 of 11.
Executive Summary
The results clearly showed that a line exists at a point where consumers perceive that in-store technology actually makes them feel uncomfortable rather than at ease.
But what was reassuring is that many of the younger respondents clearly felt comfortable with in-store technologies and could see the benefits they offered when shopping. Age demographics did play a part in where the line was drawn, and the 55+ age group were decidedly uncomfortable.
NEXT GENERATION IN-STORE TECHNOLOGY: containing 11 chapters.
Chapter 4 of 11.
Executive Summary
The results clearly showed that a line exists at a point where consumers perceive that in-store technology actually makes them feel uncomfortable rather than at ease.
But what was reassuring is that many of the younger respondents clearly felt comfortable with in-store technologies and could see the benefits they offered when shopping. Age demographics did play a part in where the line was drawn, and the 55+ age group were decidedly uncomfortable.
NEXT GENERATION IN-STORE TECHNOLOGY: containing 11 chapters.
Chapter 4 of 11.
Executive Summary
The results clearly showed that a line exists at a point where consumers perceive that in-store technology actually makes them feel uncomfortable rather than at ease.
But what was reassuring is that many of the younger respondents clearly felt comfortable with in-store technologies and could see the benefits they offered when shopping. Age demographics did play a part in where the line was drawn, and the 55+ age group were decidedly uncomfortable.
EXECUTIVE SUMMARY
Overall the results from all consumers surveyed showed that shoppers were quite comfortable with in-store technology, such as technology that helps consumers decide what to buy, technology that identifies and recommends products in-store, and self-service kiosks. Shoppers were also very familiar with loyalty cards, self-service checkouts, and touchscreen and interactive devices.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
Use of real-time customer data is seen by both consumers and retailers as key to service improvement but there were dissenting voices in the survey about the collection of data. Clearly more needs to be understood around data ownership and its governance, for example what the opt-in and opt-out rules are.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
All too often big data projects can be too complex, take too long to deploy and often yield less than expected. Therefore retailers need to adopt technologies that allow them to quickly develop, test and deploy applications that can accommodate ad hoc, batch and real-time analytics. Adopting solutions designed to capitalise on big data allows retailers to navigate the shifting retail landscape and ultimately deliver a smarter shopping experience.
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EXECUTIVE SUMMARY
Overall the results from all consumers surveyed showed that shoppers were quite comfortable with in-store technology, such as technology that helps consumers decide what to buy, technology that identifies and recommends products in-store, and self-service kiosks. Shoppers were also very familiar with loyalty cards, self-service checkouts, and touchscreen and interactive devices.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
Use of real-time customer data is seen by both consumers and retailers as key to service improvement but there were dissenting voices in the survey about the collection of data. Clearly more needs to be understood around data ownership and its governance, for example what the opt-in and opt-out rules are.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
All too often big data projects can be too complex, take too long to deploy and often yield less than expected. Therefore retailers need to adopt technologies that allow them to quickly develop, test and deploy applications that can accommodate ad hoc, batch and real-time analytics. Adopting solutions designed to capitalise on big data allows retailers to navigate the shifting retail landscape and ultimately deliver a smarter shopping experience.
Next ›
Next section »
‹ Previous
1 / 2
EXECUTIVE SUMMARY
Overall the results from all consumers surveyed showed that shoppers were quite comfortable with in-store technology, such as technology that helps consumers decide what to buy, technology that identifies and recommends products in-store, and self-service kiosks. Shoppers were also very familiar with loyalty cards, self-service checkouts, and touchscreen and interactive devices.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
Use of real-time customer data is seen by both consumers and retailers as key to service improvement but there were dissenting voices in the survey about the collection of data. Clearly more needs to be understood around data ownership and its governance, for example what the opt-in and opt-out rules are.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
All too often big data projects can be too complex, take too long to deploy and often yield less than expected. Therefore retailers need to adopt technologies that allow them to quickly develop, test and deploy applications that can accommodate ad hoc, batch and real-time analytics. Adopting solutions designed to capitalise on big data allows retailers to navigate the shifting retail landscape and ultimately deliver a smarter shopping experience.
Next ›
Next section »
‹ Previous
1 / 2
EXECUTIVE SUMMARY
Overall the results from all consumers surveyed showed that shoppers were quite comfortable with in-store technology, such as technology that helps consumers decide what to buy, technology that identifies and recommends products in-store, and self-service kiosks. Shoppers were also very familiar with loyalty cards, self-service checkouts, and touchscreen and interactive devices.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
What the survey also showed was that technology adoption speeds up every time new technology is introduced. So, where consumers felt comfortable with technology such as touchscreen and interactive devices and so on, had this survey been undertaken five years ago this might not have been the case. Therefore these types of in-store behavioural technologies will be embraced as consumers become more comfortable with them. For example, facial recognition technology is actually far less intrusive than technologies like CCTV.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
However the survey clearly shows that there is a need to educate consumers around how the customer data is being used. Retailers therefore should be talking about the benefits that customer analytics using facial recognition offers to customers.
Use of real-time customer data is seen by both consumers and retailers as key to service improvement but there were dissenting voices in the survey about the collection of data. Clearly more needs to be understood around data ownership and its governance, for example what the opt-in and opt-out rules are.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Finally, the survey demonstrates that although retailers think they know their customers’ buying preferences, clearly this is not the case. All too often retailers gather a myriad of data which is not specific or personalised to the real needs of the customer.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
Retailers clearly need to gain better insight around what happens in-store versus what happens online so that they can intensify their focus on the customer. Today retailing is a multi-channel experience underpinned by all manner of data driven technologies. Therefore, in order to anticipate buying patterns and offer a ‘connected in-store’ experience, retailers need to bring the online experience into the store and rethink their omni-channel strategies to drive up sales both in the physical stores and online.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
The key question is how retailers will continue to grow their in-store sales and deliver a seamless online to physical shopping experience. Clearly having the right technology and infrastructure in place such as big data and customer analytics will help retailers to better understand their customers, but it needs to be laser focused as they look to adapt to changing consumer buying habits in this rapidly evolving environment.
All too often big data projects can be too complex, take too long to deploy and often yield less than expected. Therefore retailers need to adopt technologies that allow them to quickly develop, test and deploy applications that can accommodate ad hoc, batch and real-time analytics. Adopting solutions designed to capitalise on big data allows retailers to navigate the shifting retail landscape and ultimately deliver a smarter shopping experience.
Next ›
Next section »
‹ Previous
1 / 2
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