Store

Raising labour productivity and profit margins

EYECAN-STAFF: Expanding what staff can do, through three core functions

EYECAN-STAFF core function 1: EYE-Navi (AR guidance)

*An interface-splitting option shows experienced staff only the destination, without the arrow route.

Centimetre-accurate indoor positioning

Using VPS and LiDAR to locate the smartphone — and so the staff member — inside the store to within centimetres.

AR routes drawn into real space

Shows the "best route to patrol right now" calculated by ROBO-HI OS as AR arrows on the smartphone screen, laid over real space (the shop floor).

"Human control" navigation

Guides a person's movement as precisely as you would steer a robot — for example "turn right at the next corner and check the shelf 3m along."

EYECAN-STAFF core function 2: EYE-Scan (continuous and fixed monitoring)

Turns the smartphone into a "mobile X-ray security camera" that continuously digitises the store environment.

*If the store already has cameras, they can be linked to EYE-Scan.

Passive: picking up dirt and anomalies on the floor, in the background

While the app is open, the camera of a moving staff member's phone always keeps the floor in view. Simply walking the aisles during normal work automatically detects and logs dirt, suspicious objects and crowding on the floor.

Active: hold the phone up and photograph the shelf (OCR for out-of-stocks and expiry dates)

Hold the phone at a pre-set position in front of a shelf and the AI compares what it sees against the planogram. It identifies out-of-stock gaps and adds them to the order list, reads packaging expiry dates by OCR, and immediately flags anything due for disposal.

EYECAN Staff core function 3: EYE-Action (AR work guidance + emotional expression)

For every issue it spots, it answers "what should I do right now (CAN)?" visually, through AR and emotional cues.

Game-like UX (dirt heatmap)

A "dirt heatmap" stays on screen until the area is completely clean. Wiping it away clears the map, turning the job into something as satisfying to finish as a game level.

Virtual box display

For out-of-stock gaps, AR shows a "virtual box to place the product in", so nothing is merchandised into the wrong place.

Emotional interface (teary-eyed stickers)

For priority items nearing their expiry date, the AI picks an emotion — teary-eyed, crying and so on — according to how close disposal is. Issuing and placing the AR "teary-eyed sticker" naturally draws on customer empathy to cut food waste (ethical consumption).

Cutting food waste through an emotional UI

The result: digital data that speaks to customers' feelings, and a real reduction in food waste

A use case in daily work: AI automatic markdowns that factor in the weather

① System instruction: An expiry-date check for one specific shelf appears on the phone. Until it is scanned, the next task stays locked so nothing is skipped.

② AI analysis: External conditions — weather, temperature, time of day — are analysed together with current stock levels.

③ Optimal rate calculation: Allowing for the drop in footfall caused by rain, it automatically sets a markdown 20% deeper than usual.

④ Printing without the effort: The job goes straight to a Bluetooth printer. Staff simply apply the printed label — nothing to type in.

⑤ Incentive awarded: Completion of the whole sequence is detected and points (+3) are credited to the staff member immediately.

Task bundling and gamification: turning complicated work into a "game"

HR evaluation built straight in: less supervisor patrolling, a real "quality assurance loop"

Interrupt instructions (dynamic routing)

An AI camera detects a queue building at the checkout → Staff A, who is restocking shelves, is instantly rerouted on their phone: "pause the patrol, help at the checkout". Peak-hour responses earn a bonus reward.

Quality assured by double-checking

Staff A reports "dirt" and marks the cleaning as done.
Staff B's phone automatically routes them past the same spot.
The AI asks for "a photo to confirm it is now clean".

Management that takes person-to-person variation out of the equation. Points earned by people who consistently do good work accumulate into skill badges and pay rises — and training and supervision costs fall sharply.

ROBO-HI OS: managing people and robots together — a "multi-agent command centre"

In time, ROBO-HI OS will judge the difficulty and nature of each task on its own and assign it automatically to whichever worker — person or robot — is best suited.

What hybrid operation will look like

Rather than jumping straight to full automation, evolve step by step while staying profitable.

The road ahead: evolving step by step

This is not about buying expensive robots and automating overnight. It is a business strategy that secures the gains one step at a time.

Three benefits

1. Outstanding ROI, felt immediately

No major hardware investment required. With the smartphones and apps you already have, you expand capability across every site at once — effectively building a sensor network.

2. Uniform work quality, and stronger motivation

AI-optimised instructions and AR guidance take individual variation out of the work. A quality-assurance loop and a points system tied to pay lift staff retention and cut training costs at the same time.

3. Laying the foundation for the store of the future (AOS)

Start building, today, the solid base for a next-generation Store Operating System in which people and robots of every kind work seamlessly side by side.

Solution

The ROBO-HI solution

It drops into your store without major changes to the layout or the way you operate. That frees staff to concentrate on higher-value work — looking after customers, merchandising — which feeds straight through to the profitability of the whole store.