Designing an AI-powered POS System for Smarter Store Management
Designed an intelligent POS dashboard that unified orders, analytics, and AI insights helping store owners turn data into effortless business clarity.
Problem
Existing used POS system relied on disconnected tools for orders, inventory, and reporting, creating inconsistent workflows and scattered insights. Admin users had no clear visibility into real-time data, dashboards which lead to slowing decisions and increasing manual work.
Outcome
I redesigned the POS experience by building a unified, insight-driven dashboard from the ground up. This included real-time analytics, clearer data flows between admin and manager sides, and AI-assisted summaries that transformed raw numbers into actionable guidance making daily operations faster, smarter, and easier to navigate.
My role
Product Designer
Timeline
20 weeks | Product Cycle
Team
Sole designer, 1 Product Lead, 1 Full stack develpoer
TL;DR
Challenge
Store owners and admins struggled to manage fragmented tools for reporting, analytics, and inventory visibility.
Approach
Conducted competitor analysis, current store manager and stakeholder interviews, and iterative dashboard prototyping with AI inclusion for insights and reports.
Soultuion
Designed a unified POS dashboard that simplified data visualization, introduced assistive AI for reporting, and improved information flow between admin and store manager sides.
Result
Reduced reporting time by 40%, improved data accuracy by 25%, and established a scalable admin-to-store data system that encouraged confident, real-time decisions.
-understanding “why” it needs fixing
WHERE USERS STRUGGLED
Uncork digital partnered with Sippy Solutions(Software development company) to design the a new POS system for the market.
I needed to design a POS system that helped store owners stay compliant while monitoring operations in real time insights and less manual work in consideration with the inventory, reports and stock management.
Objective
To design a unified, insight-driven POS ecosystem that simplifies reporting, improves workflow efficiency, and brings clarity to complex operational data. Build an admin dashboard from the ground up transforming scattered information into real-time, AI-assisted insights that help teams act faster and with confidence.
Challenge
Implemented real-time reporting, AI-driven insights, and dynamic dashboard notifications, making instant data visibility the core value of the POS experience.
-how I began
DiIGGING INTO THE SYSTEM
When I first joined the project, the POS system had no clear structure, scattered data points, and a dashboard that didn’t match how users actually worked. Instead of jumping straight into screens, I started by understanding the real workflow behind the product.
I positioned myself as a user inside the system, asking:
“Where does the data come from? Who needs it? And why does it feel so hard to use?”
Immersing in the Admin Workflow
I spent my first week mapping the admin-side tasks, checking reports, filtering sales, reviewing inventory updates, and navigating through legacy screens. What I discovered was a maze: reports hidden behind tabs, inconsistent flows, and no clear starting point.
Studying the Store Manager Side
To understand the full ecosystem, I analyzed how data moved from the store manager’s side to the admin database. There were delays, missing fields, and no real-time visibility which explained why users struggled with accuracy and decision-making.
Reviewing Existing Dashboards & Competitor Tools
I evaluated competitor POS systems to understand industry standards and pain points. Most tools offered features, but not clarity.
Most showed numbers, but not meaning.
-the good mess
SOME FLOWS I CREATED
//POS MIND MAP
//SITEMAP
PLEASE SCROLL IN BOTH DIRECTIONS
NOTES THAT HAD GREATER IMPACT TOWARDS THE FINAL OUTCOME
- identifying the problems
Complicated dashboards, slowed daily task
No real-time insights
Difficult to forecast demand
Manual restocking and price adjustments
No standardized multi-store reporting,
- noting out solutions
simplified dashboard that surfaces the important data
Real-Time Sales & Inventory Sync
AI- driven insights for restocking and reporting
AI-powered recommendation pricing strategies
Multi-store consolidated reporting
LETS LOOK AT THE PREVIOUS POS USED AT THE STORE
Overwhelming & Cluttered Layout
No Clear Information Architecture
Excessive Report Options With No Clear Structure
-dozens of items in a long, uninterrupted list, bad top navigation and prioritization, users struggle to identify the right report, often relying on trial and error to find what they need.
Filters Are Scattered and Hard to Follow
-how I began
DEFINING WHAT I BUILT
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Reports
Dynamic and AI-summarized, replacing manual PDF exports.
Analytics Dashboard
Visualized sales, restocks, and top sellers across stores.
Data Flow System
Created transparent visibility from store transactions to the admin database, ensuring real-time sync.
-the good mess
UNDERSTANDING THE MANAGERS AND ADMINS
//USER PERSONA FOR EACH TYPE OF SYSTEM USER
//USER JOURNEY MAPPING FOR EACH TYPE OF SYSTEM USER
-the good mess
BUILDING THE LAYOUTS
-completing the bridge
TRANSLATING INSIGHTS INTO RESULTS
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Smart Restock Predictions
AI tracked item velocity and forecasted when to reorder.
Important Narratives
Each report ended with an AI summary like “Beer sales up 12% due to weekend promotions.”
Admin Alerts
Automatic notifications about anomalies, like unexpected stock dips or licensing deadlines.
Final design outcome
Delivered a unified payment hub that removed repetitive navigation, reduced friction, and made every transaction faster, clearer, and more intuitive.
MEASURING THE IMPROVEMENT
I asked participants (admin + store manager personas) to complete the same 5 tasks
The same tests were allotted on work on the current POS systems and the new designed POS system
- Generate today’s sales report with the report section.
- Check weekly performance and revenue
- Add one item and update it in the inventory
- Identify a low-stock items with stores with AI
- Update the promotional pricing for a product
BEFORE AFTER COMPARISON TABLE
-wire framing and finalizing design decisions
BUILDING THE LAYOUTS
//POS DASHBOARD FOR EVERYDAY ANALYTICS
//THE MOST IMPORTANT THAT DRIVES THE BUSINESS- REPORTS
SET
OF
OTHER
REPORTS
//CUSTOMIZABLE SETTINGS FOR INVENTORY PRICING
- the numbers that defined success
FINAL RESULT
32% Faster Reporting
Reporting time was reduced allowing teams to access insights instantly instead of navigating multiple disconnected tools.
15% Faster Task Completion
Clearer navigation, simplified dashboards, and visual summaries reduced the steps needed to complete daily tasks — making workflows smoother and more intuitive.
22% Reduction in Cognitive Load
The redesigned dashboard minimized clutter and turned dense information into digestible insights, helping admin users process data without overwhelm.
- always a learner
KEY TAKEAWAY AND LEARNINGS
AI Should Assist, Not Replace
Transparency mattered more than complexity. Showing why an AI insight appeared built trust and usability.
Design for Flow, Not Features
Instead of adding more tools, I focused on connecting the existing ones and working on the functionality first rather than the design creating a seamless loop between admin data and the store manager’s cache.
Data Should Speak
I learned that analytics design is storytelling. Meaningful visuals transformed raw data into confident actions.
Browse more work
Trust & Security
Designed Security Flow: Smart ID at Shoptaki, boosting usability by 15% and creating engaging interfaces, creating seamless flow
Finance Multipayment hub
Revamped SmartID’s Finance Flow to streamline multi-payment actions, reducing steps by 40% and improving user control across transactions.
Live Audio Chat & Real-Time Engagement
Researched and redesigned the organizer experience for an event services and ticketing app, improving user flows, incerasing user engagement by 22%, and enhancing usability testing.
Designing an AI-powered POS System for Smarter Store Management
Designed an intelligent POS dashboard that unified orders, analytics, and AI insights helping store owners turn data into effortless business clarity.
Problem
Existing used POS system relied on disconnected tools for orders, inventory, and reporting, creating inconsistent workflows and scattered insights. Admin users had no clear visibility into real-time data, dashboards which lead to slowing decisions and increasing manual work.
Outcome
I redesigned the POS experience by building a unified, insight-driven dashboard from the ground up. This included real-time analytics, clearer data flows between admin and manager sides, and AI-assisted summaries that transformed raw numbers into actionable guidance making daily operations faster, smarter, and easier to navigate.
My role
Product Designer
Timeline
20 weeks | Product Cycle
Team
Sole designer, 1 Product Lead, 1 Full stack develpoer
TL;DR
Challenge
Store owners and admins struggled to manage fragmented tools for reporting, analytics, and inventory visibility.
Approach
Conducted competitor analysis, current store manager and stakeholder interviews, and iterative dashboard prototyping with AI inclusion for insights and reports.
Soultuion
Designed a unified POS dashboard that simplified data visualization, introduced assistive AI for reporting, and improved information flow between admin and store manager sides.
Result
Reduced reporting time by 40%, improved data accuracy by 25%, and established a scalable admin-to-store data system that encouraged confident, real-time decisions.
-understanding “why” it needs fixing
WHERE USERS STRUGGLED
Uncork digital partnered with Sippy Solutions(Software development company) to design the a new POS system for the market.
I needed to design a POS system that helped store owners stay compliant while monitoring operations in real time insights and less manual work in consideration with the inventory, reports and stock management.
Objective
To design a unified, insight-driven POS ecosystem that simplifies reporting, improves workflow efficiency, and brings clarity to complex operational data. Build an admin dashboard from the ground up transforming scattered information into real-time, AI-assisted insights that help teams act faster and with confidence.
Challenge
Implemented real-time reporting, AI-driven insights, and dynamic dashboard notifications, making instant data visibility the core value of the POS experience.
-how I began
DiIGGING INTO THE SYSTEM
When I first joined the project, the POS system had no clear structure, scattered data points, and a dashboard that didn’t match how users actually worked. Instead of jumping straight into screens, I started by understanding the real workflow behind the product.
I positioned myself as a user inside the system, asking:
“Where does the data come from? Who needs it? And why does it feel so hard to use?”
Immersing in the Admin Workflow
I spent my first week mapping the admin-side tasks, checking reports, filtering sales, reviewing inventory updates, and navigating through legacy screens. What I discovered was a maze: reports hidden behind tabs, inconsistent flows, and no clear starting point.
Studying the Store Manager Side
To understand the full ecosystem, I analyzed how data moved from the store manager’s side to the admin database. There were delays, missing fields, and no real-time visibility which explained why users struggled with accuracy and decision-making.
Reviewing Existing Dashboards & Competitor Tools
I evaluated competitor POS systems to understand industry standards and pain points. Most tools offered features, but not clarity.
Most showed numbers, but not meaning.
-the good mess
SOME FLOWS I CREATED
//POS MIND MAP
//SITEMAP
PLEASE SCROLL IN BOTH DIRECTIONS
NOTES THAT HAD GREATER IMPACT TOWARDS THE FINAL OUTCOME
- identifying the problems
Complicated dashboards, slowed daily task
No real-time insights
Difficult to forecast demand
Manual restocking and price adjustments
No standardized multi-store reporting,
- noting out solutions
simplified dashboard that surfaces the important data
Real-Time Sales & Inventory Sync
AI- driven insights for restocking and reporting
AI-powered recommendation pricing strategies
Multi-store consolidated reporting
LETS LOOK AT THE PREVIOUS POS USED AT THE STORE
Overwhelming & Cluttered Layout
No Clear Information Architecture
Excessive Report Options With No Clear Structure
-dozens of items in a long, uninterrupted list, bad top navigation and prioritization, users struggle to identify the right report, often relying on trial and error to find what they need.
Filters Are Scattered and Hard to Follow
-how I began
DEFINING WHAT I BUILT
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Reports
Dynamic and AI-summarized, replacing manual PDF exports.
Analytics Dashboard
Visualized sales, restocks, and top sellers across stores.
Data Flow System
Created transparent visibility from store transactions to the admin database, ensuring real-time sync.
-the good mess
UNDERSTANDING THE MANAGERS AND ADMINS
//USER PERSONA FOR EACH TYPE OF SYSTEM USER
//USER JOURNEY MAPPING FOR EACH TYPE OF SYSTEM USER
-the good mess
BUILDING THE LAYOUTS
Left Navigation for Predictability
Predictive Trend Blocks
Modular Card Layout
Central Analytics Hub
Parameter Controls Placed Above Insights
Detailed SKU Table for Granular Review
Smart Filter Bar With Dynamic Tags
Manage Tabs for Customization
Centralized Pricing Controls
Dedicated Price Reduction Scheduler
Algorithm Options for Pricing
Integration of AI
-completeing the bridge
TRANSLATING INSIGHTS INTO RESULTS
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Smart Restock Predictions
AI tracked item velocity and forecasted when to reorder.
Important Narratives
Each report ended with an AI summary like “Beer sales up 12% due to weekend promotions.”
Admin Alerts
Automatic notifications about anomalies, like unexpected stock dips or licensing deadlines.
Final design outcome
Delivered a unified payment hub that removed repetitive navigation, reduced friction, and made every transaction faster, clearer, and more intuitive.
MEASURING THE IMPROVEMENT
I asked participants (admin + store manager personas) to complete the same 5 tasks
The same tets were alloted on work on the current POS systems and the new designed POS system
- Generate today’s sales report with the report section.
- Check weekly performance and revenue
- Add one item and update it in the inventory
- Identify a low-stock items with stores with AI
- Update the promotional pricing for a product
BEFORE AFTER COMPARISON TABLE
Category
Reporting Time
Task Steps
Cognitive Load
Insights
Structure
Before
50–80s, hard to find
6–9 steps
Dense + overwhelming
No summaries
Scattered menus
After
32% faster with single hub
15% fewer steps
22% easier to interpret
AI-generated insights
Unified dashboard
-wire framing and finalizing design decisions
BUILDING THE LAYOUTS
//POS DASHBOARD FOR EVERYDAY ANALYTICS
//THE MOST IMPORTANT THAT DRIVES THE BUSINESS- REPORTS
SET
OF
OTHER
REPORTS
//CUSTOMIZABLE SETTINGS FOR INVENTORY PRICING
- the numbers that defined success
FINAL RESULT
32% Faster Reporting
Reporting time was reduced allowing teams to access insights instantly instead of navigating multiple disconnected tools.
15% Faster Task Completion
Clearer navigation, simplified dashboards, and visual summaries reduced the steps needed to complete daily tasks — making workflows smoother and more intuitive.
22% Reduction in Cognitive Load
The redesigned dashboard minimized clutter and turned dense information into digestible insights, helping admin users process data without overwhelm.
- always a learner
KEY TAKEAWAY AND LEARNINGS
AI Should Assist, Not Replace
Transparency mattered more than complexity. Showing why an AI insight appeared built trust and usability.
Design for Flow, Not Features
Instead of adding more tools, I focused on connecting the existing ones and working on the functionality first rather than the design creating a seamless loop between admin data and the store manager’s cache.
Data Should Speak
I learned that analytics design is storytelling. Meaningful visuals transformed raw data into confident actions.
•
m
y
w
o
r
k
•
m
y
w
o
r
k
Browse more work
Built Trust
Product Designer
User Research
B2B
SaaS
Most impactful
Trust & Security
Designed Security Flow: Smart ID at Shoptaki, boosting usability by 15% and creating engaging interfaces, creating seamless flow
Finance Multipayment hub
Revamped SmartID’s Finance Flow to streamline multi-payment actions, reducing steps by 40% and improving user control across transactions.
Built Emotion
UX/UI Design
User Research
B2C
SaaS
Entertainment service
Most impactful
Live Audio Chat & Real-Time Engagement
Researched and redesigned the organizer experience for an event services and ticketing app, improving user flows, incerasing user engagement by 22%, and enhancing usability testing.
Designing an AI-powered POS System for Smarter Store Management
Designed an intelligent POS dashboard that unified orders, analytics, and AI insights helping store owners turn data into effortless business clarity.
Problem
Existing used POS system relied on disconnected tools for orders, inventory, and reporting, creating inconsistent workflows and scattered insights. Admin users had no clear visibility into real-time data, dashboards which lead to slowing decisions and increasing manual work.
Outcome
I redesigned the POS experience by building a unified, insight-driven dashboard from the ground up. This included real-time analytics, clearer data flows between admin and manager sides, and AI-assisted summaries that transformed raw numbers into actionable guidance making daily operations faster, smarter, and easier to navigate.
My role
Product Designer
Timeline
20 weeks | Product Cycle
Team
Sole designer, 1 Product Lead, 1 Full stack develpoer
TL;DR
Challenge
Store owners and admins struggled to manage fragmented tools for reporting, analytics, and inventory visibility.
Approach
Conducted competitor analysis, current store manager and stakeholder interviews, and iterative dashboard prototyping with AI inclusion for insights and reports.
Soultuion
Designed a unified POS dashboard that simplified data visualization, introduced assistive AI for reporting, and improved information flow between admin and store manager sides.
Result
Reduced reporting time by 40%, improved data accuracy by 25%, and established a scalable admin-to-store data system that encouraged confident, real-time decisions.
-understanding “why” it needs fixing
UNDERSTANDING THE PROBLEM
Uncork digital partnered with Sippy Solutions(Software development company) to design the a new POS system for the market.
I needed to design a POS system that helped store owners stay compliant while monitoring operations in real time insights and less manual work in consideration with the inventory, reports and stock management.
Objective
To design a unified, insight-driven POS ecosystem that simplifies reporting, improves workflow efficiency, and brings clarity to complex operational data. Build an admin dashboard from the ground up transforming scattered information into real-time, AI-assisted insights that help teams act faster and with confidence.
Challenge
Implemented real-time reporting, AI-driven insights, and dynamic dashboard notifications, making instant data visibility the core value of the POS experience.
-how I began
DiIGGING INTO THE SYSTEM
When I first joined the project, the POS system had no clear structure, scattered data points, and a dashboard that didn’t match how users actually worked. Instead of jumping straight into screens, I started by understanding the real workflow behind the product.
I positioned myself as a user inside the system, asking:
“Where does the data come from? Who needs it? And why does it feel so hard to use?”
Immersing in the Admin Workflow
I spent my first week mapping the admin-side tasks, checking reports, filtering sales, reviewing inventory updates, and navigating through legacy screens. What I discovered was a maze: reports hidden behind tabs, inconsistent flows, and no clear starting point.
Studying the Store Manager Side
To understand the full ecosystem, I analyzed how data moved from the store manager’s side to the admin database. There were delays, missing fields, and no real-time visibility which explained why users struggled with accuracy and decision-making.
Reviewing Existing Dashboards & Competitor Tools
I evaluated competitor POS systems to understand industry standards and pain points. Most tools offered features, but not clarity.
Most showed numbers, but not meaning.
-the good mess
SOME FLOWS I CREATED
//POS MIND MAP
//SITEMAP
PLEASE SCROLL IN BOTH DIRECTIONS
NOTES THAT HAD GREATER IMPACT TOWARDS THE FINAL OUTCOME
- identifying the problems
Complicated dashboards, slowed daily task
No real-time insights
Difficult to forecast demand
Manual restocking and price adjustments
No standardized multi-store reporting,
- noting out solutions
simplified dashboard that surfaces the important data
Real-Time Sales & Inventory Sync
AI- driven insights for restocking and reporting
AI-powered recommendation pricing strategies
Multi-store consolidated reporting
LETS LOOK AT THE PREVIOUS POS USED AT THE STORE
Overwhelming & Cluttered Layout
No Clear Information Architecture
Excessive Report Options With No Clear Structure
-dozens of items in a long, uninterrupted list, bad top navigation and prioritization, users struggle to identify the right report, often relying on trial and error to find what they need.
Filters Are Scattered and Hard to Follow
-how I began
DEFINING WHAT I BUILT
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Reports
Dynamic and AI-summarized, replacing manual PDF exports.
Analytics Dashboard
Visualized sales, restocks, and top sellers across stores.
Data Flow System
Created transparent visibility from store transactions to the admin database, ensuring real-time sync.
-Learning From the People Behind the Operations
MAPPING THE NEEDS OF MANAGERS AND ADMINS
//USER PERSONA FOR EACH TYPE OF SYSTEM USER
//USER JOURNEY MAPPING FOR EACH TYPE OF SYSTEM USER
-wire framing and finalizing design decisions
BUILDING THE LAYOUTS
Left Navigation for Predictability
Predictive Trend Blocks
Modular Card Layout
Central Analytics Hub
Parameter Controls Placed Above Insights
Detailed SKU Table for Granular Review
Smart Filter Bar With Dynamic Tags
Manage Tabs for Customization
Centralized Pricing Controls
Dedicated Price Reduction Scheduler
Algorithm Options for Pricing
Integration of AI
-completing the bridge
TRANSLATING INSIGHTS INTO RESULTS
The redesign was more than a UI upgrade, it was a product built from scratch.
I built the foundation around three pillars that connected both sides (Admin +Cashier)
Key areas which I an showing the study on
Smart Restock Predictions
AI tracked item velocity and forecasted when to reorder.
Important Narratives
Each report ended with an AI summary like “Chips sales up 12% due to weekend promotions.”
Admin Alerts
Automatic notifications about anomalies, like unexpected stock dips or licensing deadlines.
Final design outcome
Delivered a unified payment hub that removed repetitive navigation, reduced friction, and made every transaction faster, clearer, and more intuitive.
MEASURING THE IMPROVEMENT
I asked participants (admin + store manager personas) to complete the same 5 tasks
The same tets were alloted on work on the current POS systems and the new designed POS system
- Generate today’s sales report with the report section.
- Check weekly performance and revenue
- Add one item and update it in the inventory
- Identify a low-stock items with stores with AI
- Update the promotional pricing for a product
BEFORE AFTER COMPARISON TABLE
Category
Reporting Time
Task Steps
Cognitive Load
Insights
Structure
Before
50–80s, hard to find
6–9 steps
Dense + overwhelming
No summaries
Scattered menus
After
32% faster with single hub
15% fewer steps
22% easier to interpret
AI-generated insights
Unified dashboard
-wire framing and finalizing design decisions
BUILDING THE LAYOUTS
//POS DASHBOARD FOR EVERYDAY ANALYTICS
//THE MOST IMPORTANT THAT DRIVES THE BUSINESS- REPORTS
SET
OF
OTHER
REPORTS
//CUSTOMIZABLE SETTINGS FOR INVENTORY PRICING
- the numbers that defined success
FINAL RESULT
32% Faster Reporting
Reporting time was reduced allowing teams to access insights instantly instead of navigating multiple disconnected tools.
15% Faster Task Completion
Clearer navigation, simplified dashboards, and visual summaries reduced the steps needed to complete daily tasks — making workflows smoother and more intuitive.
22% Reduction in Cognitive Load
The redesigned dashboard minimized clutter and turned dense information into digestible insights, helping admin users process data without overwhelm.
- always a learner
KEY TAKEAWAY AND LEARNINGS
AI Should Assist, Not Replace
Transparency mattered more than complexity. Showing why an AI insight appeared built trust and usability.
Design for Flow, Not Features
Instead of adding more tools, I focused on connecting the existing ones and working on the functionality first rather than the design creating a seamless loop between admin data and the store manager’s cache.
Data Should Speak
I learned that analytics design is storytelling. Meaningful visuals transformed raw data into confident actions.
•
m
y
w
o
r
k
•
m
y
w
o
r
k
Browse more work
Built Trust
Product Design
Finance
Security
Mobile
User Research
B2B
SaaS
Most impactful
Trust & Security
Designed Security Flow: Smart ID at Shoptaki, boosting usability by 15% and creating engaging interfaces, creating seamless flow
Finance Multipayment hub
Revamped SmartID’s Finance Flow to streamline multi-payment actions, reducing steps by 40% and improving user control across transactions.
Built Emotion
UX/UI Design
User Research
B2C
SaaS
Entertainment service
Most impactful
Live Audio Chat & Real-Time Engagement
Researched and redesigned the organizer experience for an event services and ticketing app, improving user flows, increasing user engagement by 22%, and enhancing usability testing.