RetailStack ● 2026

Designing a grocery POS that reduces loses and grows revenue

RetailStack is an integrated grocery operating system that helps stores operate faster, increase sales, and manage their inventory confidently - from anywhere.

Role

Product Design Lead

Product Designer

Deliverables

User Research

Component Library

High Fidelity Designs

Team

2x Product Designers

2x Product Manager

4x Software Engineers

Platform

Web Responsive

Mobile Application

The Problem

Independent grocery stores lose revenue daily due to fragmented, manual retail systems that slow checkout, obscure inventory, and delay pricing decisions.

Stores run fragile, manual workflows that rely on paper, spreadsheets, and disconnected tools with complex UX, which make day-to-day operations slow and error-prone.

Complex POS interfaces causes high cognitive load at checkout that slow cashiers, cause long queues and frustrate shoppers

Manual ordering, receiving, and stock-taking are prone to duplication and omissions, leading to inaccurate counts, avoidable expirations, and inventory shrinkage

Existing POS setups operate in silos, offering little intelligence for inventory planning to help stores optimize inventory, forecast demand, or maximize revenue

Creating purchase requests is largely guesswork, and receiving orders lacks proper reconciliation, causing over-ordering, under-ordering, and supplier disputes.

The small mistakes in ordering, pricing, and reconciliation compound over time, directly impacting already thin profit margins.

Product in use before RetailStack

Opportunity I

Designing an intuitive checkout experience, that makes cashiers instantly proficient, and keeps lines moving, especially during peak hours.

Opportunity II

Integrating operations with proactive intelligence and recommendations so stores can confidently manage their inventory to maximize their revenue.

The Problem

Independent grocery stores lose revenue daily due to fragmented, manual retail systems that slow checkout, obscure inventory, and delay pricing decisions.

Stores run fragile, manual workflows that rely on paper, spreadsheets, and disconnected tools with complex UX, which make day-to-day operations slow and error-prone.

Complex POS interfaces causes high cognitive load at checkout that slow cashiers, cause long queues and frustrate shoppers

Manual ordering, receiving, and stock-taking are prone to duplication and omissions, leading to inaccurate counts, avoidable expirations, and inventory shrinkage

Existing POS setups operate in silos, offering little intelligence for inventory planning to help stores optimize inventory, forecast demand, or maximize revenue

Creating purchase requests is largely guesswork, and receiving orders lacks proper reconciliation, causing over-ordering, under-ordering, and supplier disputes.

The small mistakes in ordering, pricing, and reconciliation compound over time, directly impacting already thin profit margins.

Product in use before RetailStack

Opportunity I

Designing an intuitive checkout experience, that makes cashiers instantly proficient, and keeps lines moving, especially during peak hours.

Opportunity II

Integrating operations with proactive intelligence and recommendations so stores can confidently manage their inventory to maximize their revenue.

Design goals

How might we

Design a "zero-learning-curve" checkout interface that empowers seasonal staff to perform like veterans during peak traffic?

Eliminate manual (paper-based) stocktaking and guesswork with intuitive, intelligent inventory workflows that keep stores optimally stocked and profitable?

Connect operations and transform static inventory data into actionable "intelligent recommendations," allowing owners to make confident decisions in real-time?

Design goals

How might we

Design a "zero-learning-curve" checkout interface that empowers seasonal staff to perform like veterans during peak traffic?

Eliminate manual (paper-based) stocktaking and guesswork with intuitive, intelligent inventory workflows that keep stores optimally stocked and profitable?

Connect operations and transform static inventory data into actionable "intelligent recommendations," allowing owners to make confident decisions in real-time?

Design decision I

Designing a Modern POS experience that empowers cashiers

We replaced bulky legacy UX and hardware with a sleek experience and display that felt familiar and ensured even new cashiers could become proficient in minutes not days.

Design decision I

Designing a Modern POS experience that empowers cashiers

We replaced bulky legacy UX and hardware with a sleek experience and display that felt familiar and ensured even new cashiers could become proficient in minutes not days.

Design decision II

Designing an intelligent scan-to-shelf experience

We replaced the error-prone "clipboard and carbon paper" method with a mobile-first, scan-based inventory application. By leveraging the device’s camera or integrated hardware scanners, store associates can now perform rolling inventory counts with zero friction.

Design decision II

Designing an intelligent scan-to-shelf experience

Design decision III

Designing a demand-aware engine for procurement & seamless receiving

We moved the store from "reactive ordering" to "Predictive Replenishment." By aggregating historical sales velocity, upcoming seasonal trends, and real-time expiration data, the system generates "Smart Purchase Drafts" that a manager can review and approve in seconds rather than hours.

Design decision III

Designing a demand-aware engine for procurement & seamless receiving

Design decision IV

Designing an intelligent decision support system

We moved beyond static reporting to create a Proactive Recommendation Layer. Instead of forcing owners to hunt through spreadsheets for margin leaks or slow-movers, we designed a system that "surfaces the work," presenting data as clear, high-stakes business decisions and recommendations.