PROJECT THEME: SHOPPING OPTIMIZATION
PROJECT TYPE: SELF-MOTIVATED PROJECT
PROJECT OUTCOME: PROTOTYPE OF RETAILRADAR APP
PROJECT THEME: SHOPPING OPTIMIZATION
PROJECT TYPE: SELF-MOTIVATED PROJECT
PROJECT OUTCOME: PROTOTYPE OF RETAILRADAR APP
PROJECT THEME: SHOPPING OPTIMIZATION
PROJECT TYPE: SELF-MOTIVATED PROJECT
PROJECT OUTCOME: PROTOTYPE OF RETAILRADAR APP
BACKGROUND
BACKGROUND
Living near the world's largest Walmart, the Albany Supercenter, often led to lengthy shopping trips in search of items, especially unfamiliar ones. This prompted me to observe shoppers, revealing a common issue: many spent significant time searching for products. This inefficiency in the shopping process highlighted a broader problem - people wasted valuable time navigating the store when it could be better spent.
Living near the world's largest Walmart, the Albany Supercenter, often led to lengthy shopping trips in search of items, especially unfamiliar ones. This prompted me to observe shoppers, revealing a common issue: many spent significant time searching for products. This inefficiency in the shopping process highlighted a broader problem - people wasted valuable time navigating the store when it could be better spent.
Living near the world's largest Walmart, the Albany Supercenter, often led to lengthy shopping trips in search of items, especially unfamiliar ones. This prompted me to observe shoppers, revealing a common issue: many spent significant time searching for products. This inefficiency in the shopping process highlighted a broader problem - people wasted valuable time navigating the store when it could be better spent.
SHOPPERS' CHALLENGES
SHOPPERS' CHALLENGES
fed up with wasting time searching
fed up with wasting time searching
fed up with wasting time searching
wondering if items are out of stock
wondering if items are out of stock
wondering if items are out of stock
frustrated with circling for items
frustrated with circling for items
frustrated with circling for items
embarrassed to ask others for directions
embarrassed to ask others for directions
embarrassed to ask others for directions
SHOPPING EFFICIENCY RESEARCH
SHOPPING EFFICIENCY RESEARCH
25min+
25min+
25min+
On average, a shopping trip to a Walmart store could take anywhere from 25 minutes to over an hour.
On average, a shopping trip to a Walmart store could take anywhere from 25 minutes to over an hour.
On average, a shopping trip to a Walmart store could take anywhere from 25 minutes to over an hour.
15min+
15min+
15min+
On average, shoppers spend around 15 minutes or more searching for items in Walmart.
On average, shoppers spend around 15 minutes or more searching for items in Walmart.
On average, shoppers spend around 15 minutes or more searching for items in Walmart.
60%
60%
60%
Conducted at the Albany Supercenter, my study involving 50 individuals spanning diverse genders and age groups unveiled that almost 60% of shoppers' time is allocated to searching for items, rather than adopting efficient navigation and purposeful shopping strategies.
Conducted at the Albany Supercenter, my study involving 50 individuals spanning diverse genders and age groups unveiled that almost 60% of shoppers' time is allocated to searching for items, rather than adopting efficient navigation and purposeful shopping strategies.
Conducted at the Albany Supercenter, my study involving 50 individuals spanning diverse genders and age groups unveiled that almost 60% of shoppers' time is allocated to searching for items, rather than adopting efficient navigation and purposeful shopping strategies.
SHOPPING EFFICIENCY RESEARCH
SHOPPING EFFICIENCY RESEARCH
1962
Old Walmart Store
1962
Old Walmart Store
1962
Old Walmart Store
Limited product selection (few thousand items)
Limited product selection (few thousand items)
Limited product selection (few thousand items)
Shorter shopping trips (15-30 minutes)
Shorter shopping trips (15-30 minutes)
Shorter shopping trips (15-30 minutes)
An efficient yet somewhat inconvenient shopping process due to limit products
An efficient yet somewhat inconvenient shopping process due to limit products
An efficient yet somewhat inconvenient shopping process due to limit products
2023
Modern Walmart Supercenter
2023
Modern Walmart Supercenter
2023
Modern Walmart Supercenter
Vast inventory (100,000 to 150,000+ items)
Vast inventory (100,000 to 150,000+ items)
Vast inventory (100,000 to 150,000+ items)
Longer shopping trips (25 minutes to an hour)
Longer shopping trips (25 minutes to an hour)
Longer shopping trips (25 minutes to an hour)
'Paradox of choice' effect (complex decision-making, time-consuming)
'Paradox of choice' effect (complex decision-making, time-consuming)
'Paradox of choice' effect (complex decision-making, time-consuming)
Potential customer dissatisfaction
Potential customer dissatisfaction
Potential customer dissatisfaction
My Takeaways
My Takeaways
Comparing old Walmart stores to modern Walmart Supercenters, we see significant differences. In 1962, the inaugural Walmart store offered a more limited product selection, resulting in shorter but efficient shopping trips. Today, Walmart Supercenters feature a significantly larger inventory, reflecting the evolution of retail. However, this abundance of choice comes with the 'paradox of choice' effect, complicating decision-making, consuming time, and often leaving customers less satisfied. In modern Walmart stores, customers also spend extra time searching for items, leading to longer shopping durations that can diminish the efficiency of the modern shopping experience.
Comparing old Walmart stores to modern Walmart Supercenters, we see significant differences. In 1962, the inaugural Walmart store offered a more limited product selection, resulting in shorter but efficient shopping trips. Today, Walmart Supercenters feature a significantly larger inventory, reflecting the evolution of retail. However, this abundance of choice comes with the 'paradox of choice' effect, complicating decision-making, consuming time, and often leaving customers less satisfied. In modern Walmart stores, customers also spend extra time searching for items, leading to longer shopping durations that can diminish the efficiency of the modern shopping experience.
Comparing old Walmart stores to modern Walmart Supercenters, we see significant differences. In 1962, the inaugural Walmart store offered a more limited product selection, resulting in shorter but efficient shopping trips. Today, Walmart Supercenters feature a significantly larger inventory, reflecting the evolution of retail. However, this abundance of choice comes with the 'paradox of choice' effect, complicating decision-making, consuming time, and often leaving customers less satisfied. In modern Walmart stores, customers also spend extra time searching for items, leading to longer shopping durations that can diminish the efficiency of the modern shopping experience.
OVERSTOCK PROBLEM
OVERSTOCK PROBLEM
The shift in shopping dynamics within modern Walmart is further exacerbated by the overstock problem, as exemplified by retailers like Walmart during the pandemic. Entailing several challenges:
The shift in shopping dynamics within modern Walmart is further exacerbated by the overstock problem, as exemplified by retailers like Walmart during the pandemic. Entailing several challenges:
The shift in shopping dynamics within modern Walmart is further exacerbated by the overstock problem, as exemplified by retailers like Walmart during the pandemic. Entailing several challenges:
Choice Overload: Too much inventory overwhelms shoppers, causing decision fatigue.
Choice Overload: Too much inventory overwhelms shoppers, causing decision fatigue.
Choice Overload: Too much inventory overwhelms shoppers, causing decision fatigue.
Food Waste: Overstocked perishables lead to resource waste and ethical concerns.
Food Waste: Overstocked perishables lead to resource waste and ethical concerns.
Food Waste: Overstocked perishables lead to resource waste and ethical concerns.
Resource Strain: Surplus items strain storage, labor, and supply chains.
Resource Strain: Surplus items strain storage, labor, and supply chains.
Resource Strain: Surplus items strain storage, labor, and supply chains.
Environmental Impact: Excess stock increases emissions, harming the environment.
Environmental Impact: Excess stock increases emissions, harming the environment.
Environmental Impact: Excess stock increases emissions, harming the environment.
Financial Losses: Retailers cut prices to clear overstock, impacting profits.
Financial Losses: Retailers cut prices to clear overstock, impacting profits.
Financial Losses: Retailers cut prices to clear overstock, impacting profits.
TARGET USER
TARGET USER
David Chen
store manager
David Chen
store manager
“In my role as a manager, RetailRadar gives me valuable insights into inventory and sales, enhancing overall store management and ensuring a smooth supply chain. The real-time analytics, with sold-out warnings and low-stock alerts, empower me to make data-driven decisions, optimize stock levels, and allocate resources efficiently.”
“In my role as a manager, RetailRadar gives me valuable insights into inventory and sales, enhancing overall store management and ensuring a smooth supply chain. The real-time analytics, with sold-out warnings and low-stock alerts, empower me to make data-driven decisions, optimize stock levels, and allocate resources efficiently.”
Chris Mitchell
store employee
Chris Mitchell
store employee
“Working at the store, RetailRadar becomes a game-changer, boosting my customer service skills. It helps me find items, check stock, offer personalized recommendations, and the 'Help' function ensures I promptly assist customers. In the end, RetailRadar takes our customer experience to the next level.”
“Working at the store, RetailRadar becomes a game-changer, boosting my customer service skills. It helps me find items, check stock, offer personalized recommendations, and the 'Help' function ensures I promptly assist customers. In the end, RetailRadar takes our customer experience to the next level.”
Ryan Turner
regular customer
Ryan Turner
regular customer
“As someone who shops regularly, RetailRadar really steps up my game. It links smoothly with major stores like Walmart, Target, Best Buy, and more. It helps me find items faster, makes the whole process smoother, throws in personalized recommendations, and even suggests alternatives when something's out of stock. It just makes my shopping trips way more convenient and enjoyable.”
“As someone who shops regularly, RetailRadar really steps up my game. It links smoothly with major stores like Walmart, Target, Best Buy, and more. It helps me find items faster, makes the whole process smoother, throws in personalized recommendations, and even suggests alternatives when something's out of stock. It just makes my shopping trips way more convenient and enjoyable.”
Elena Wong
frequent traveler
Elena Wong
frequent traveler
“As a young woman on the go, RetailRadar is my secret weapon. It takes away the stress of navigating unfamiliar stores, saving me precious time for a hassle-free 'grab-and-go' experience. Not only does it help me stay on budget with quick price comparisons and sweet deals on must-haves, but it also gives me the confidence to shop independently. RetailRadar makes my travel shopping a breeze!”
“As a young woman on the go, RetailRadar is my secret weapon. It takes away the stress of navigating unfamiliar stores, saving me precious time for a hassle-free 'grab-and-go' experience. Not only does it help me stay on budget with quick price comparisons and sweet deals on must-haves, but it also gives me the confidence to shop independently. RetailRadar makes my travel shopping a breeze!”
Eleanor Thompson
individual with differing abilities
Eleanor Thompson
individual with differing abilities
“Being someone with disabilities, RetailRadar is a real blessing for me. It takes care of the little things, like picking the shortest routes and suggesting items on lower shelves. It makes my shopping experience more comfortable and inclusive by highlighting accessible facilities if they're available. RetailRadar isn't just a tool; it's a personal helper that understands my needs and makes shopping a breeze.”
“Being someone with disabilities, RetailRadar is a real blessing for me. It takes care of the little things, like picking the shortest routes and suggesting items on lower shelves. It makes my shopping experience more comfortable and inclusive by highlighting accessible facilities if they're available. RetailRadar isn't just a tool; it's a personal helper that understands my needs and makes shopping a breeze.”
EVALUATION OF CURRENT SOLUTIONS
EVALUATION OF CURRENT SOLUTIONS
Store Layout Optimization
Store Layout Optimization
Costco, IKEA, Target and other stores were investing in optimizing store layouts to make it easier for customers to find what they're looking for. This includes rearranging shelves, grouping related items together, and providing clear signage.
Costco, IKEA, Target and other stores were investing in optimizing store layouts to make it easier for customers to find what they're looking for. This includes rearranging shelves, grouping related items together, and providing clear signage.
Costco, IKEA, Target and other stores were investing in optimizing store layouts to make it easier for customers to find what they're looking for. This includes rearranging shelves, grouping related items together, and providing clear signage.
Pros
Pros
Improved customer experience
Improved customer experience
Improved customer experience
More efficient space utilization
More efficient space utilization
Cons
Cons
High implementation costs
High implementation costs
Staff training required
Staff training required
Space constraints in place
Space constraints in place
Resistance to change present
Resistance to change present
Interactive Kiosks Placement
Interactive Kiosks Placement
Kroger, Publix and other stores have explored the use of interactive kiosks strategically placed throughout the store. Customers can input their shopping list or desired products, and the kiosk provides directions to each item.
Kroger, Publix and other stores have explored the use of interactive kiosks strategically placed throughout the store. Customers can input their shopping list or desired products, and the kiosk provides directions to each item.
Kroger, Publix and other stores have explored the use of interactive kiosks strategically placed throughout the store. Customers can input their shopping list or desired products, and the kiosk provides directions to each item.
Pros
Pros
Efficient information retrieval
Efficient information retrieval
Cross-selling and upselling opportunities
Cross-selling and upselling opportunities
Reduced staff workload
Reduced staff workload
Cons
Cons
High implementation costs
High implementation costs
Potential for technical issues
Potential for technical issues
Frequent maintenance required
Frequent maintenance required
Space constraints in place
Space constraints in place
User adoption can be challenging
User adoption can be challenging
Increase in Staffing
Increase in Staffing
Walmart, Target and other stores invested in staffing to improve customer service and the shopping experience. This ensures customers can easily find products, get assistance, and enjoy a positive shopping experience.
Walmart, Target and other stores invested in staffing to improve customer service and the shopping experience. This ensures customers can easily find products, get assistance, and enjoy a positive shopping experience.
Walmart, Target and other stores invested in staffing to improve customer service and the shopping experience. This ensures customers can easily find products, get assistance, and enjoy a positive shopping experience.
Pros
Pros
Improved customer service
Improved customer service
Quicker and more accurate assistance
Quicker and more accurate assistance
Potential for increased sales
Potential for increased sales
Cons
Cons
High labor costs
High labor costs
Training is necessary
Training is necessary
Risk of overstaffing
Risk of overstaffing
Increased management complexity
Increased management complexity
In-Store Navigation Tech
In-Store Navigation Tech
Walmart, Target, Home Depot, Best Buy and other stores have experimented with technologies like indoor GPS and Bluetooth beacons to aid customers in navigating their stores more easily using smartphones.
Walmart, Target, Home Depot, Best Buy and other stores have experimented with technologies like indoor GPS and Bluetooth beacons to aid customers in navigating their stores more easily using smartphones.
Walmart, Target, Home Depot, Best Buy and other stores have experimented with technologies like indoor GPS and Bluetooth beacons to aid customers in navigating their stores more easily using smartphones.
Pros
Pros
Enhanced shopping experience
Enhanced shopping experience
Improved time efficiency
Improved time efficiency
Reduced customer frustration
Reduced customer frustration
Cons
Cons
High implementation costs
High implementation costs
Costs passed on to customers
Costs passed on to customers
Potential for technical issues
Potential for technical issues
Frequent maintenance required
Frequent maintenance required
Lack of personalization
Lack of personalization
The solutions exist, yet opportunities for enhancement remain
The solutions exist, yet opportunities for enhancement remain
Current solutions for enhancing shopping efficiency face challenges such as high labor and equipment costs, placement constraints, frequent maintenance requirements, and user adaptation problems. These challenges have driven my exploration of new, innovative approaches focused on improving shopping efficiency and addressing these issues to enhance the overall shopping experience.
Current solutions for enhancing shopping efficiency face challenges such as high labor and equipment costs, placement constraints, frequent maintenance requirements, and user adaptation problems. These challenges have driven my exploration of new, innovative approaches focused on improving shopping efficiency and addressing these issues to enhance the overall shopping experience.
Current solutions for enhancing shopping efficiency face challenges such as high labor and equipment costs, placement constraints, frequent maintenance requirements, and user adaptation problems. These challenges have driven my exploration of new, innovative approaches focused on improving shopping efficiency and addressing these issues to enhance the overall shopping experience.
Implementation Methods PT1
Implementation Methods PT1
I create RetailRadar to be a user-friendly cross-platform app. Its hybrid design combines a lightweight web-based frontend, using CSS and JavaScript, with a high-performance C++ backend. My aim is simple: deliver a seamless and enjoyable shopping experience for users.
I create RetailRadar to be a user-friendly cross-platform app. Its hybrid design combines a lightweight web-based frontend, using CSS and JavaScript, with a high-performance C++ backend. My aim is simple: deliver a seamless and enjoyable shopping experience for users.
I create RetailRadar to be a user-friendly cross-platform app. Its hybrid design combines a lightweight web-based frontend, using CSS and JavaScript, with a high-performance C++ backend. My aim is simple: deliver a seamless and enjoyable shopping experience for users.
Frontend Overview
Frontend Overview
I used Figma to design the app's interface, implementing it with HTML and CSS for style and JavaScript for functionality. The web-based frontend ensures cross-platform compatibility, adapts to various screens, and stays lightweight, offering high responsiveness with minimal network bandwidth.
I used Figma to design the app's interface, implementing it with HTML and CSS for style and JavaScript for functionality. The web-based frontend ensures cross-platform compatibility, adapts to various screens, and stays lightweight, offering high responsiveness with minimal network bandwidth.
I used Figma to design the app's interface, implementing it with HTML and CSS for style and JavaScript for functionality. The web-based frontend ensures cross-platform compatibility, adapts to various screens, and stays lightweight, offering high responsiveness with minimal network bandwidth.
Backend Overview
Backend Overview
In creating the app's backend, I implement logic in C++ to manage critical tasks such as user data, database operations, route calculations, and arrival time predictions. The code is also responsible for rendering the 3D map, which I create using Siemens NX and then optimize for real-time rendering with the OpenGL (Open Graphics Library) API.
In creating the app's backend, I implement logic in C++ to manage critical tasks such as user data, database operations, route calculations, and arrival time predictions. The code is also responsible for rendering the 3D map, which I create using Siemens NX and then optimize for real-time rendering with the OpenGL (Open Graphics Library) API.
In creating the app's backend, I implement logic in C++ to manage critical tasks such as user data, database operations, route calculations, and arrival time predictions. The code is also responsible for rendering the 3D map, which I create using Siemens NX and then optimize for real-time rendering with the OpenGL (Open Graphics Library) API.
Implementation Methods PT2
Implementation Methods PT2
Item Lookup API
Item Lookup API
In today's digital era, major retail giants like Walmart, Target, and Best Buy have embraced the power of Item Lookup APIs, streamlining access to crucial product information. This has made the implementation of real-time item lookup functionality relatively straightforward, eliminating the need to develop such systems from the ground up. Notably, Walmart's Item Lookup API stands out with its versatile range of dynamic functions, making it a game-changer for individuals like me, significantly saving time and effort. Among its standout functions are:
In today's digital era, major retail giants like Walmart, Target, and Best Buy have embraced the power of Item Lookup APIs, streamlining access to crucial product information. This has made the implementation of real-time item lookup functionality relatively straightforward, eliminating the need to develop such systems from the ground up. Notably, Walmart's Item Lookup API stands out with its versatile range of dynamic functions, making it a game-changer for individuals like me, significantly saving time and effort. Among its standout functions are:
In today's digital era, major retail giants like Walmart, Target, and Best Buy have embraced the power of Item Lookup APIs, streamlining access to crucial product information. This has made the implementation of real-time item lookup functionality relatively straightforward, eliminating the need to develop such systems from the ground up. Notably, Walmart's Item Lookup API stands out with its versatile range of dynamic functions, making it a game-changer for individuals like me, significantly saving time and effort. Among its standout functions are:
Access product details, including pricing, inventory, and descriptions.
Access product details, including pricing, inventory, and descriptions.
Access product details, including pricing, inventory, and descriptions.
Lookup items using IDs, UPCs(Universal Product Code), or GTINs(Global Trade Item Number).
Lookup items using IDs, UPCs(Universal Product Code), or GTINs(Global Trade Item Number).
Lookup items using IDs, UPCs(Universal Product Code), or GTINs(Global Trade Item Number).
Find approximate item locations within specific stores.
Find approximate item locations within specific stores.
Find approximate item locations within specific stores.
Retrieve multiple items or similar products.
Retrieve multiple items or similar products.
Retrieve multiple items or similar products.
Provide support for tracking and promotions.
Provide support for tracking and promotions.
Provide support for tracking and promotions.
Choose from various response formats, such as JSON and XML.
Choose from various response formats, such as JSON and XML.
Choose from various response formats, such as JSON and XML.
This C++ code manages a user request to the Walmart API, instructing it to filter "milk" products based on in-store availability and then sort these products by the highest rating.
This C++ code manages a user request to the Walmart API, instructing it to filter "milk" products based on in-store availability and then sort these products by the highest rating.
This C++ code manages a user request to the Walmart API, instructing it to filter "milk" products based on in-store availability and then sort these products by the highest rating.
The Walmart API request was accepted by the server, and the response showcases a total of 39 "milk" products, all available in-store and sorted by customer ratings, facilitating further development.
The Walmart API request was accepted by the server, and the response showcases a total of 39 "milk" products, all available in-store and sorted by customer ratings, facilitating further development.
The Walmart API request was accepted by the server, and the response showcases a total of 39 "milk" products, all available in-store and sorted by customer ratings, facilitating further development.
For each product in the search results, the server provides a comprehensive overview, including product title, description, price, availability, as well as additional details such as ratings and images.
For each product in the search results, the server provides a comprehensive overview, including product title, description, price, availability, as well as additional details such as ratings and images.
For each product in the search results, the server provides a comprehensive overview, including product title, description, price, availability, as well as additional details such as ratings and images.
USER EXPERIENCE AND INTERFACE DESIGN
USER EXPERIENCE AND INTERFACE DESIGN
Login Page
Login Page
Login Page
Dashboard/Home Page
Dashboard/Home Page
Dashboard/Home Page
Shopping Page
Shopping Page
Shopping Page
List Management Page
List Management Page
List Management Page
Route Preview Page
Route Preview Page
Route Preview Page
Navigation Page
Navigation Page
Navigation Page
Detail View Page
Detail View Page
Detail View Page
Item Discovery Page
Item Discovery Page
Item Discovery Page
USER JOURNEY
USER JOURNEY
Emily Anderson
Emily Anderson
Age: 42
Age: 42
Gender: Female
Gender: Female
Occupation: Administrative Assistant at the local law firm
Occupation: Administrative Assistant at the local law firm
Family: Husband, 10-year-old daughter, 7-year-old son
Family: Husband, 10-year-old daughter, 7-year-old son
Walmart Shopper: Biweekly visits for groceries, essentials, and school supplies
Walmart Shopper: Biweekly visits for groceries, essentials, and school supplies
Values: Convenience and affordability
Values: Convenience and affordability
Johnathan Carter
Johnathan Carter
Age: 23
Age: 23
Gender: Male
Gender: Male
Occupation: Design student in college
Occupation: Design student in college
Family: Single, living in a shared apartment with roommates
Family: Single, living in a shared apartment with roommates
Walmart Shopper: Visits almost every other day for groceries, art supplies, personal care items, and frequent trips for materials to build prototypes
Walmart Shopper: Visits almost every other day for groceries, art supplies, personal care items, and frequent trips for materials to build prototypes
Values: Affordability, convenience, quality, and variety
Values: Affordability, convenience, quality, and variety
Activity
Activity
Activity
Emily and Johnathan are both seeking a more efficient way to shop in major retail stores.
Emily and Johnathan are both seeking a more efficient way to shop in major retail stores.
Emily downloads RetailRadar from the App Store.
Johnathan installs RetailRadar from the Google Play Store.
Emily downloads RetailRadar from the App Store.
Johnathan installs RetailRadar from the Google Play Store.
Emily opens RetailRadar once again before she leaves work to go to Walmart.
Jonathan opens RetailRadar when he is in Best Buy this time.
Emily opens RetailRadar once again before she leaves work to go to Walmart.
Jonathan opens RetailRadar when he is in Best Buy this time.
Emily begins to add items to her list and checks out the deals on RetailRadar every time before she goes shopping.
Jonathan relies on RetailRadar consistently to guide him to the supplies he needs.
Emily begins to add items to her list and checks out the deals on RetailRadar every time before she goes shopping.
Jonathan relies on RetailRadar consistently to guide him to the supplies he needs.
User Goal
User Goal
User Goal
Emily wants to shop quickly at Walmart after her busy work to spend more family time with her husband and children.
Johnathan wants to find all of his design supplies at Walmart swiftly so he won't have to keep going back and forth in store.
Emily wants to shop quickly at Walmart after her busy work to spend more family time with her husband and children.
Johnathan wants to find all of his design supplies at Walmart swiftly so he won't have to keep going back and forth in store.
Emily inputs her shopping list into the app to experience the route planning feature and assess how the app enhances shopping efficiency.
Johnathan wants to test the navigation feature specifically because he is looking for a few materials he has never bought at Walmart before.
Emily inputs her shopping list into the app to experience the route planning feature and assess how the app enhances shopping efficiency.
Johnathan wants to test the navigation feature specifically because he is looking for a few materials he has never bought at Walmart before.
Emily likes the shopping experience she had last time and wants to give the app another try.
Jonathan is curious about whether the app will work at another retail store other than Walmart, so he gives it a go.
Emily likes the shopping experience she had last time and wants to give the app another try.
Jonathan is curious about whether the app will work at another retail store other than Walmart, so he gives it a go.
Both Emily and Jonathan rely on RetailRadar to seek an optimized shopping experience by finding the products they want, discovering the best deals, efficiently planning their shopping routes, comparing prices, and ensuring a time-saving shopping trip.
Both Emily and Jonathan rely on RetailRadar to seek an optimized shopping experience by finding the products they want, discovering the best deals, efficiently planning their shopping routes, comparing prices, and ensuring a time-saving shopping trip.
Touchpoints
Touchpoints
Touch-points
Emily first sees ads for RetailRadar on Facebook and later discovers that her coworker also uses it.
Johnathan comes across RetailRadar ads on both YouTube and Instagram.
Emily first sees ads for RetailRadar on Facebook and later discovers that her coworker also uses it.
Johnathan comes across RetailRadar ads on both YouTube and Instagram.
Emily is amazed by how effective the app's route planning is. She follows the suggested route and leaves Walmart 15 minutes earlier than usual.
Jonathan successfully finds everything he needs in Walmart. He doesn't waste any time looking for items or asking people for help.
Emily is amazed by how effective the app's route planning is. She follows the suggested route and leaves Walmart 15 minutes earlier than usual.
Jonathan successfully finds everything he needs in Walmart. He doesn't waste any time looking for items or asking people for help.
Emily enjoys the shopping experience this time as well. The app guides her to all her desired items and also provides some recommendations that she likes.
Jonathan is impressed that RetailRadar can work with Best Buy as well, and just as effectively. He finds what he needs in no time.
Emily enjoys the shopping experience this time as well. The app guides her to all her desired items and also provides some recommendations that she likes.
Jonathan is impressed that RetailRadar can work with Best Buy as well, and just as effectively. He finds what he needs in no time.
Emily quickly adapts to the navigation interface, finding it easy to understand as it consistently directs her to the right item locations.
Jonathan finds the app easy to use; finding items he needs, even across different retailers, is a breeze. He also enjoys trying out the additional features.
Emily quickly adapts to the navigation interface, finding it easy to understand as it consistently directs her to the right item locations.
Jonathan finds the app easy to use; finding items he needs, even across different retailers, is a breeze. He also enjoys trying out the additional features.
LIVE COMPARISON: RETAILRADAR VS. SHOPPING NOTES
LIVE COMPARISON: RETAILRADAR VS. SHOPPING NOTES
Johnathan Carter
Johnathan Carter
Introducing Keo's hand, RetailRadar's inaugural user (besides myself)! He bravely volunteered, set to conquer the wild world of shopping chaos.
Introducing Keo's hand, RetailRadar's inaugural user (besides myself)! He bravely volunteered, set to conquer the wild world of shopping chaos.
Introducing Keo's hand, RetailRadar's inaugural user (besides myself)! He bravely volunteered, set to conquer the wild world of shopping chaos.
Emily Anderson
Emily Anderson
Meet my hand, bravely armed with grocery list. I admit I'm gearing up for a shopping battle I might not win, but hey, how bad could it be?
Meet my hand, bravely armed with grocery list. I admit I'm gearing up for a shopping battle I might not win, but hey, how bad could it be?
Meet my hand, bravely armed with grocery list. I admit I'm gearing up for a shopping battle I might not win, but hey, how bad could it be?
Store Layout Optimization
Store Layout Optimization
In this competition for four items from the same list, Keo uses RetailRadar, and I stick to the traditional shopping list. We record times at each item's location and compare both individual and overall times upon completion. Here are the results:
In this competition for four items from the same list, Keo uses RetailRadar, and I stick to the traditional shopping list. We record times at each item's location and compare both individual and overall times upon completion. Here are the results:
In this competition for four items from the same list, Keo uses RetailRadar, and I stick to the traditional shopping list. We record times at each item's location and compare both individual and overall times upon completion. Here are the results:
Keo, utilizing RetailRadar, completes the shopping 216.1% faster than my traditional method (2min 35s vs. 5min 35s). Remarkably, RetailRadar guided Keo along a distinct route, avoiding unnecessary backtracking. While I expected to lose, the margin exceeded my anticipation, highlighting the effectiveness of RetailRadar. Additionally, my prolonged search for mayo adds a realistic touch to this representation of real-life circumstances. This experiment emphasizes the practical advantages of RetailRadar, showcasing its potential to streamline shopping experiences and optimize routes.
Keo, utilizing RetailRadar, completes the shopping 216.1% faster than my traditional method (2min 35s vs. 5min 35s). Remarkably, RetailRadar guided Keo along a distinct route, avoiding unnecessary backtracking. While I expected to lose, the margin exceeded my anticipation, highlighting the effectiveness of RetailRadar. Additionally, my prolonged search for mayo adds a realistic touch to this representation of real-life circumstances. This experiment emphasizes the practical advantages of RetailRadar, showcasing its potential to streamline shopping experiences and optimize routes.
Keo, utilizing RetailRadar, completes the shopping 216.1% faster than my traditional method (2min 35s vs. 5min 35s). Remarkably, RetailRadar guided Keo along a distinct route, avoiding unnecessary backtracking. While I expected to lose, the margin exceeded my anticipation, highlighting the effectiveness of RetailRadar. Additionally, my prolonged search for mayo adds a realistic touch to this representation of real-life circumstances. This experiment emphasizes the practical advantages of RetailRadar, showcasing its potential to streamline shopping experiences and optimize routes.
MOVING FORWARD
MOVING FORWARD
So far, the app operates offline, optimized for use at the Albany Walmart Supercenter only with a database supporting fewer than 20 items due to API access constraints. The route optimization feature is mostly effective, particularly with a limited item set. Looking ahead, the app holds promising potential for universal application across all retail stores and as a plug-in for major shopping apps like Walmart and Target. This expansion could significantly save users time by streamlining their shopping experience, offering personalized recommendations, real-time inventory updates, and exclusive discounts. Its integration into major shopping platforms could greatly enhance convenience and efficiency, benefiting both shoppers and store managers alike.
So far, the app operates offline, optimized for use at the Albany Walmart Supercenter only with a database supporting fewer than 20 items due to API access constraints. The route optimization feature is mostly effective, particularly with a limited item set. Looking ahead, the app holds promising potential for universal application across all retail stores and as a plug-in for major shopping apps like Walmart and Target. This expansion could significantly save users time by streamlining their shopping experience, offering personalized recommendations, real-time inventory updates, and exclusive discounts. Its integration into major shopping platforms could greatly enhance convenience and efficiency, benefiting both shoppers and store managers alike.
So far, the app operates offline, optimized for use at the Albany Walmart Supercenter only with a database supporting fewer than 20 items due to API access constraints. The route optimization feature is mostly effective, particularly with a limited item set. Looking ahead, the app holds promising potential for universal application across all retail stores and as a plug-in for major shopping apps like Walmart and Target. This expansion could significantly save users time by streamlining their shopping experience, offering personalized recommendations, real-time inventory updates, and exclusive discounts. Its integration into major shopping platforms could greatly enhance convenience and efficiency, benefiting both shoppers and store managers alike.