Cutting checkout time by 25.7% — designing a phygital experience for a global retail giant
I designed a retail experience that helped shoppers decide faster across mobile screens, aisles, and a physical cart.
Jan 2025 - Jan 2026
Service
UX Research, UX Design, Innovation Strategy
Service
UX Research, UX Design, Innovation Strategy
Role
Lead Designer/ Innovation Strategist
Role
Lead Designer/ Innovation Strategist
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
Overview
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
The Problem
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
"How might we reduce the checkout time and increase footfall in store?"
-The core question to solve
Research Themes
We synthesized research across user groups, behavioral patterns, and stakeholder input to identify the following key patterns shaping the user experience
Key Findings
Key Findings
Checkout process in store is lengthy
Customers have to wait in long queue for checkout
Significant Challenges in locating products
It takes a lot of effort and time for customers to find a product in store
Weak Omnichannel experience
No continuity between mobile app and in store experience
Solution
Solution
A unified omnichannel environment built around a Smart Cart, an in-store companion that navigates products contextually, enables self-checkout directly from the cart, and surfaces real-time stock availability.
Every touchpoint, from entry to post-purchase designed to maintain continuity reducing customer effort while compressing checkout time for the business.
Smart Cart
Smart Cart
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
Features
What it Offers
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Work Details
Redesign - Mobile App
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Updated Features:
Tutorials embedded in the PDP product pages double as a learning moment, not just a spec sheet
Dynamic, offer-driven visuals backgrounds adapt in real time to active promotions, making offers feel native rather than bolted on
Nudge notifications timely prompts bring customers back into the app when it matters most
Streamlined in-app checkoutfewer steps between decision and purchase
New Features:
1.
Conversational AI
Remembers preferences
Reads context, not just keywords
Dynamic, expressive icon
Suggests relevant products
Impact: A smoother experience for customers, and a new, low-friction revenue channel for the business.
2.
Product Detection
Instant product recognition
Rich product info on demand
Marketing assets
Bundle offers
On-tap add to cart
Impact: Turns passive browsing into an informed, shareable, purchase-ready moment.
Working Prototype
Work Details
Highlights
I redesigned the mobile app to reduce friction across the core shopping flow and introduced a conversational assistant to guide customers through decisions in the moment from finding products to resolving questions without needing staff.
The bigger shift was architectural: rather than treating mobile and in-store as separate experiences, I designed a seamless handoff between the app and a smart cart, so customers could carry their session with them and check out directly from the cart itself. No separate counter, no re-scanning.
Impact
Business Impact
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Key Findings
Key Learnings
🤝 Collaborated across cross-functional teams, working closely with product, engineering, and business stakeholders throughout
🚀 Grew into Lead Designer mid-project, took on greater ownership as the project evolved
👤 Became sole designer by the end, held full accountability for the work with no team to distribute it across
🔄 Owned the project end-to-end, from discovery and research through design and deployment
🧭 Sharpened how I lead and collaborate, learned when to drive decisions, when to align with partners, and when to step back and let other functions move fast
Feedbacks
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
Let's
Collaborate
with
clarity.
Share your goals, and I’ll help shape the direction and guide your project forward with clarity and care.
©Raina Raval 2026, All rights reserved.
Cutting checkout time by 25.7% — designing a phygital experience for a global retail giant
I designed a retail experience that helped shoppers decide faster across mobile screens, aisles, and a physical cart.
Jan 2025 - Jan 2026
Service
UX Research, UX Design, Innovation Strategy
Service
UX Research, UX Design, Innovation Strategy
Role
Lead Designer/ Innovation Strategist
Role
Lead Designer/ Innovation Strategist
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
Overview
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
The Problem
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
"How might we reduce the checkout time and increase footfall in store?"
-The core question to solve
Research Themes
We synthesized research across user groups, behavioral patterns, and stakeholder input to identify the following key patterns shaping the user experience
Key Findings
Key Findings
Checkout process in store is lengthy
Customers have to wait in long queue for checkout
Significant Challenges in locating products
It takes a lot of effort and time for customers to find a product in store
Weak Omnichannel experience
No continuity between mobile app and in store experience
Solution
Solution
A unified omnichannel environment built around a Smart Cart, an in-store companion that navigates products contextually, enables self-checkout directly from the cart, and surfaces real-time stock availability.
Every touchpoint, from entry to post-purchase designed to maintain continuity reducing customer effort while compressing checkout time for the business.
Smart Cart
Smart Cart
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
Features
What it Offers
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Work Details
Redesign - Mobile App
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Updated Features:
Tutorials embedded in the PDP product pages double as a learning moment, not just a spec sheet
Dynamic, offer-driven visuals backgrounds adapt in real time to active promotions, making offers feel native rather than bolted on
Nudge notifications timely prompts bring customers back into the app when it matters most
Streamlined in-app checkoutfewer steps between decision and purchase
New Features:
1.
Conversational AI
Remembers preferences
Reads context, not just keywords
Dynamic, expressive icon
Suggests relevant products
Impact: A smoother experience for customers, and a new, low-friction revenue channel for the business.
2.
Product Detection
Instant product recognition
Rich product info on demand
Marketing assets
Bundle offers
On-tap add to cart
Impact: Turns passive browsing into an informed, shareable, purchase-ready moment.
Working Prototype
Work Details
Highlights
I redesigned the mobile app to reduce friction across the core shopping flow and introduced a conversational assistant to guide customers through decisions in the moment from finding products to resolving questions without needing staff.
The bigger shift was architectural: rather than treating mobile and in-store as separate experiences, I designed a seamless handoff between the app and a smart cart, so customers could carry their session with them and check out directly from the cart itself. No separate counter, no re-scanning.
Impact
Business Impact
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Key Findings
Key Learnings
🤝 Collaborated across cross-functional teams, working closely with product, engineering, and business stakeholders throughout
🚀 Grew into Lead Designer mid-project, took on greater ownership as the project evolved
👤 Became sole designer by the end, held full accountability for the work with no team to distribute it across
🔄 Owned the project end-to-end, from discovery and research through design and deployment
🧭 Sharpened how I lead and collaborate, learned when to drive decisions, when to align with partners, and when to step back and let other functions move fast
Feedbacks
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
Let's
Collaborate
with
clarity.
Share your goals, and I’ll help shape the direction and guide your project forward with clarity and care.
©Raina Raval 2026, All rights reserved.
Cutting checkout time by 25.7% — designing a phygital experience for a global retail giant
I designed a retail experience that helped shoppers decide faster across mobile screens, aisles, and a physical cart.
Jan 2025 - Jan 2026
Service
UX Research, UX Design, Innovation Strategy
Service
UX Research, UX Design, Innovation Strategy
Role
Lead Designer/ Innovation Strategist
Role
Lead Designer/ Innovation Strategist
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
TEAM
Project Manager, Product Designer, Team of Developers, Senior Director
Overview
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
Checkout is the last impression a store makes, and often its worst. On a typical peak-hour shift, 15-minute queues were the single largest driver of cart abandonment and in-store complaints.
I led the end-to-end design of a self-checkout experience for a startup that let customers scan, pay, and exit without a staffed line, rethinking not just the interface, but how trust, speed, and error-recovery had to work when no employee was standing there to catch a mistake.
The result: checkout time dropped by 25.7%, with 19.2% of customers opting into self-checkout within 1 month of launch.
The Problem
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
The existing in-store checkout process had become a critical bottleneck in the retail customer journey. Long billing queues and slow transaction times increased customer wait times, leading to checkout abandonment, lower customer satisfaction, and missed revenue opportunities. Additionally, inefficient checkout operations reduced store throughput, limiting the retailer's ability to serve more customers during peak hours. As customer expectations shifted toward the speed and convenience of digital commerce, the traditional checkout experience no longer met evolving consumer needs.
"How might we reduce the checkout time and increase footfall in store?"
-The core question to solve
Research Themes
We synthesized research across user groups, behavioral patterns, and stakeholder input to identify the following key patterns shaping the user experience
Key Findings
Key Findings
Checkout process in store is lengthy
Customers have to wait in long queue for checkout
Significant Challenges in locating products
It takes a lot of effort and time for customers to find a product in store
Weak Omnichannel experience
No continuity between mobile app and in store experience
Solution
Solution
A unified omnichannel environment built around a Smart Cart, an in-store companion that navigates products contextually, enables self-checkout directly from the cart, and surfaces real-time stock availability.
Every touchpoint, from entry to post-purchase designed to maintain continuity reducing customer effort while compressing checkout time for the business.
Smart Cart
Smart Cart
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
I conceptualized & designed a Smart Cart experience to optimize the in-store customer journey through real-time price tracking, integrated store navigation, and seamless self-checkout.
Leveraged UX principles to simplify product discovery, reduce cognitive load, and minimize checkout friction, creating a more efficient, intuitive, and customer-centric retail experience.
Features
What it Offers
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Wayfinding: guides you through the store when you're lost, so finding a product never means asking staff or backtracking aisles
Effortless product discovery: surfaces what you're looking for with minimal searching
Live running total: your cart amount updates in real time as you shop, so checkout never comes as a surprise
Built-in conversational assistance: the same AI support from the app, now available hands-free while you shop
Checkout anywhere, anytime: complete your purchase at any point in your store journey, no line required
Work Details
Redesign - Mobile App
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Simplified onboarding cut steps and friction to get customers shopping faster
CTAs redesigned for immediate recognition, removing hesitation at key decision points
Reimagined PDP, added tutorials and recipe content to help customers decide with confidence, not just view specs
Introduced Gen AI shopping assistant providing real-time, conversational support in place of a staffed associate
Updated Features:
Tutorials embedded in the PDP product pages double as a learning moment, not just a spec sheet
Dynamic, offer-driven visuals backgrounds adapt in real time to active promotions, making offers feel native rather than bolted on
Nudge notifications timely prompts bring customers back into the app when it matters most
Streamlined in-app checkoutfewer steps between decision and purchase
New Features:
1.
Conversational AI
Remembers preferences
Reads context, not just keywords
Dynamic, expressive icon
Suggests relevant products
Impact: A smoother experience for customers, and a new, low-friction revenue channel for the business.
2.
Product Detection
Instant product recognition
Rich product info on demand
Marketing assets
Bundle offers
On-tap add to cart
Impact: Turns passive browsing into an informed, shareable, purchase-ready moment.
Working Prototype
Work Details
Highlights
I redesigned the mobile app to reduce friction across the core shopping flow and introduced a conversational assistant to guide customers through decisions in the moment from finding products to resolving questions without needing staff.
The bigger shift was architectural: rather than treating mobile and in-store as separate experiences, I designed a seamless handoff between the app and a smart cart, so customers could carry their session with them and check out directly from the cart itself. No separate counter, no re-scanning.
Impact
Business Impact
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Checkout wait time reduced by 25.7%, directly improving store throughput during peak hours.
The project positioned the company to enter the retail market profitably, drawing attention from major retail players and new client interest particularly in the object detection feature's potential for social media and influencer marketing use cases.
Internally, the work was recognized by leadership as a strong proof point for the company's retail capabilities, opening the door to further opportunities in the space.
Key Findings
Key Learnings
🤝 Collaborated across cross-functional teams, working closely with product, engineering, and business stakeholders throughout
🚀 Grew into Lead Designer mid-project, took on greater ownership as the project evolved
👤 Became sole designer by the end, held full accountability for the work with no team to distribute it across
🔄 Owned the project end-to-end, from discovery and research through design and deployment
🧭 Sharpened how I lead and collaborate, learned when to drive decisions, when to align with partners, and when to step back and let other functions move fast
Feedbacks
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to appreciate Raina's extended efforts, especially during client visits. I want to convey my best regards to all her efforts in enhancing "Omnichannel store" branding and working closely on the Smart Cart Use Case.
Sriram Vijayakumar
Project Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
I would like to recognize Raina's excellent contributions during her project and client visits. She played a key role in presenting "Omnichannel" use cases to stakeholders, showcasing innovative concepts. Thank you for your dedication and impactful contributions. Keep up the great work!
Shreya Dutt
Manager
Let's
Collaborate
with
clarity.
Share your goals, and I’ll help shape the direction and guide your project forward with clarity and care.
©Raina Raval 2026, All rights reserved.