Rapid deployment and training proving secure IP KVM automation across platforms.
Case Study
ePOS Automation for H&M with Fujitsu
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First Working Script Delivered
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ePOS Test Cases Automatable
H&M ePOS test automation using KVM over IP in two days
H&M is a global fashion retailer with more than 4,200 stores across 75+ markets. As part of a major ePOS upgrade, the team needed to validate tills and supporting systems quickly and at scale under strict KVM over IP access controls.
Contracted by Fujitsu the challenge was to prove reliable UI test automation across closed and legacy environments as well as modern platforms, without disrupting operations or delaying peak-season readiness.
Market
Global fashion retail with peak-season spikes and complex ePOS estates.
The Challenge
Locked-down ePOS upgrade across multiple countries under IP KVM constraints.
Solution
The Challenge:
H&M planned a multi-country ePOS upgrade with strict access via IP KVM. QA needed to prove reliable automation at speed, without disrupting store operations or slipping the pre-peak window.
- Secure access and closed systems: Native control over IP KVM in a locked-down environment, including legacy operating systems and bespoke images.
- Scale and variation: 16 countries with about 250 localisation test cases per country, covering local payments, tax rules and languages, with repeatable coverage and auditability.
- Peripherals and compliance risk: Card terminals, barcodes and gift cards alongside PCI obligations, with confidence required on critical flows before Q4.
The Solution:
T-Plan delivered a focused two-day onsite engagement in Sweden:
- Rapid setup and proof: Installed and configured T-Plan Robot on day one and produced the first working POS script in under one hour.
- Native IP KVM control: Demonstrated secure automation of the POS user interface over IP KVM, validating operation in a closed and controlled environment.
- Enablement and scale: Ran a hands-on enablement session so the Fujitsu team could continue building out coverage after the engagement. We also mapped scope across 16 countries, with ≈250 test cases per country and an estimated ≈75% suitable for automation.
- Scope clarity: Focused on critical flows such as promotions, refunds, gift cards and manual EFT entries, with clear guidance on how to handle peripherals where direct emulation was out of scope.
Conclusion
Working with Fujitsu, we proved that enterprise-scale POS automation is achievable in a locked-down retail environment.
In a two-day engagement we installed and configured T-Plan Robot, produced the first working POS script in under one hour, trained the client team, and mapped a rollout across 16 countries with about 250 localisation test cases per country and roughly 75% identified as automatable.
By validating native control over IP KVM and providing one approach that spans tills, e-commerce, mobile and back office, we gave the client a clear route to peak-season readiness.
Flexible concurrent licensing supports the peaks and troughs of retail demand, while reduced manual regression effort improves cost efficiency and frees teams to focus on higher-value testing.
Why T-Plan
- Works reliably with closed and legacy systems as well as modern platforms
- Installs quickly and enables teams to produce scripts in minutes
- Low-code UI simplifies adoption across QA and operations
- Concurrent licensing provides strong value during seasonal ramp-up
- Backed by 25+ years in visual UI test automation and RPA
Results
- Proven commercial scale with a global retail brand.
- 16 countries in scope and ≈250 localisation test cases per country, with ≈75% identified as automatable.
- First working ePOS script delivered in under 1 hour, with a live proof and team training completed in 2 days.
- Secure native automation validated over IP KVM in a closed environment.
- One approach covering tills, e-commerce, mobile and back office, enabling consistent execution and reporting.
- Flexible concurrent licensing to match retail peaks and troughs, improving cost efficiency.
- Reduced manual regression effort, allowing QA teams to focus on high-value testing ahead of peak trading.
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