LOADING

Security Suite

Toshiba ELERA® introduced Security Suite, a software solution that uses data from POSPoint of sale hardware to address retail shrinkLoss of inventory due to theft or error and improve self-checkout experiences through AI insights.

Problem
Insufficient data makes it difficult to detect or monitor store losses in self-checkout without affecting transaction speed.
Tools
Figma, Miro, User Interviews
Team
1 Design Manager, 3 PO, 1 Engineer
Security Suite overview
IMPACT

243 locations

Stores Adopted
Chains like Olímpica S.A, Weis Markets & Grupo El Rosado

Media Coverage

Got Recognized
Featered in articles for retail security

50%-70%

Self-Checkout Growth
Increase in self-checkout transactions
DISCOVERY

Understanding Hardware and Data Flow

It was important to start by understanding self-checkout kiosk hardware and how its sensor data can be used to design a Security Suite dashboard to monitor events over time and enable action to prevent store losses.

Data flow
Security Suite data flow diagram

Understanding Stakeholders

I worked with cross-functional stakeholders and users to map critical loss prevention tasks, identify bottlenecks in event triage, and define which data charts mattered most for fast, high-confidence decisions.

Security Suite research insights

20 User + 4 stakeholder interview

Security Suite research board

Understanding Road Map with stake holders

Current Problem

  • Not Enough Data: Only high-level loss data is available; no drill-down for action.
  • Hardware Limitations: Produce switch loss isn’t captured due to hardware limits.

Current Security Suite app view used by Loss Prevention Manager

What Stakeholders Told Us
"We are facing trouble with produce switching, it is not captured in the current app."
- LP Manager
"Not enough data is available to track produce switching loss."
- PO
"The SS don't help me take action to prevent losses."
- LP Manager
DEFINE

Objective

A Security Suite data visualisation dashboard that leverages detailed hardware data to monitor and detect loss in self-checkout without affecting transaction speed.

Persona

Security Suite persona

This persona was synthesized from user interviews conducted with 20 users.

What are we prioritizing for 1st Version Release?

After creating 49 data charts and tables, I conducted a research session to understand what stakeholders prioritized and which data mattered most for decision-making. In this section, I used a Miro board to organize and rearrange charts based on stakeholder priorities.

Security Suite Miro research board

Resrach tool: Miro

Research Finding

Out of 49 charts+tables only 15 charts+tables made it to the final dashboard.

Interactive prototype

Explore the Security Suite loss-prevention prototype in Figma (desktop width).

RESULTS

Outcome after launch

243 New Locations

Companies across the globe adopted Security Suite workflows.

Olimpica logo
Weis Markets logo
El Rosado logo
50%-70%

Increase in self-checkout transactions reported by stores using Security Suite.

Media Coverage

Hover to view all, drag to browse.

Learning outcome

01. Early feedback = clearer, more impactful design.

02. Enabled quick recognition of trends to support timely decision-making.

Let's Create Something

Together Get In Touch!