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Solution story · Retail

Scaling unattended fresh food and drink across a distributed network

How a food and beverage operator runs unattended points of sale on live inventory data, from replenishment routes to per-site assortments.

Smart Coolers
Instant Cockpit
Integrated payment
Anonymised story drawn from comparable deployments
Typical outcomes
From comparable deployments. Actual results vary by operation.
Significant ↓
Shrinkage within the first quarters
Live data
Replenishment planning, not estimates
Eliminated
Site visits for stock checks
Improved
Product availability across the network
Smart Coolers across the network
Every removal tracked in real time with Weight Cell Technology

01The challenge

A food and beverage operator running points of sale across a distributed network manages inventory it cannot see.

Stock levels at each site are known only when someone visits. Replenishment runs are planned on estimates, so vans arrive with too much of one product and none of another.

Shrinkage is measurable only after the fact, and expired product is discovered on the shelf rather than predicted in the data.

02Why Instant Systems

An operator in this position needs one connected platform that can run unattended points of sale and, at the same time, feed live inventory data back into the operation: real-time stock per site, integrated payment, analytics, and remote management of every unit from one place. This is exactly what the Instant Systems platform is built for, and it scales site by site without new infrastructure.

5,900+
Points of sale on the platform
2M+
Transactions every month
20+
Years of engineering, since 2004

03The solution

Smart Coolers
At each site, tracking every removal with Weight Cell Technology.
Instant Cockpit
The single view of stock, sales, and device health across the network.
Integrated payment
Self-service checkout at every unattended point of sale.
Consumption data
Feeding directly into route and replenishment planning.
Vans stop arriving with too much of one product and none of another: routes and loads follow live data.

04The implementation

Site by site, without new infrastructure, and with optimisation that never stops:

Assessment
Assessment of site profiles, consumption patterns, and the measured baseline.
Pilot
A pilot at the first locations validates shrinkage and availability improvements.
Roll-out
Site by site, with each new location commissioned and configured remotely.
Optimisation
Assortments per site adjusted continuously from actual consumption data.

05Typical business impact

Area
Typical outcome
Inventory shrinkage
Falls significantly within the first quarters
Replenishment planning
From estimates to live data
Site visits for stock checks
Eliminated; stock is visible remotely
Product availability
Improves across the network

Typical outcomes from comparable deployments. Actual results vary by operation.

Expired product stops being a shelf discovery: consumption data predicts it before it happens.

06The Physical Supply Challenge

Before
Stock known only on site visits
Replenishment by estimate
Shrinkage seen at month-end
Each machine an island
Expiry found on the shelf
After
Real-time visibility from anywhere
Data-driven replenishment
Continuous tracking per unit
One connected platform
Expiry predicted in the data

07How the platform keeps improving

Every cooler stays connected through Instant Cockpit and is supported by ISSA. Sales analytics keep sharpening per-site assortments, software updates arrive remotely, and device diagnostics flag issues before they cost a day of sales.

Related solutions

Ready to automate your physical supply?

Let's discuss your operational challenges. Our specialists can baseline your shrinkage and replenishment costs and design the path to a network that runs on live data.