Reducing Operational Toil in the Modern Retail Industry

600+ engineering hours/year saved with self-service CI/CD and retail automation

Setting the Scene

Nike’s retail engineering teams ship software that must work across a large, distributed store footprint. When releases depend on hand-offs, manual checks, and one-off scripts, delivery slows down and incidents become more likely.

We converted repeatable release and upgrade work into safe self-service flows. The result was fewer manual steps, faster delivery, and more time back for senior engineers to focus on features instead of release operations.

The Challenge

Nike’s delivery workflows had several bottlenecks:

Release processes with manual steps that created delays and avoidable incidents

Provisioning flows that took 45 minutes of hands-on work

Deployment and upgrade workflows that routinely took 10 to 15 minutes, and far longer at infrastructure scale

Retail infrastructure upgrades across 900+ stores that required multi-team coordination and long per-server runtimes

Our Solution

We designed and implemented guardrailed self-service tools that made the fastest path the safest path:

Built a self-service Continuous Delivery pipeline to remove manual release steps

Added Jamf integration plus file-agnostic macOS signing and notarization for reliable mobile delivery

Consolidated retail infrastructure work into one self-service upgrade pipeline to scale upgrades safely

Game Plan Implementation

We delivered these improvements as reusable building blocks that can be operated confidently:

Cloud automation across AWS and Azure

Jenkins pipelines for delivery and infrastructure workflows

Automation scripts in Python, Groovy, Ansible, Bash, and Ruby

Workflow integrations to reduce handoffs and make delivery status visible where engineers work.

Clear success metrics focused on time saved, fewer manual steps, faster throughput, and reduced risk

Game Results

Measured outcomes from the work:

600+ hours/year reclaimed

Removed 600+ engineering hours per year of operational toil via self-service tooling.

900+ store upgrades automated

Automated release and infra workflows for 900+ retail stores by consolidating multi-team Windows server upgrades into one self-service pipeline, cutting per-server runtime to ~3 hours (from 6-8) and raising safe concurrency to 8 (from 2).

Staging deployments cut to 3 minutes

Reduced staging deployment flows from ~10-15 minutes down to ~3 minutes.

Bot provisioning, 15× faster

Automated mobile app and bot provisioning with self-service delivery, cutting a 45 minute manual bot provisioning flow to about 3 minutes.

Lower risk, major cost unlocked

Reduced Azure and AWS security risk by mitigating multiple high-priority vulnerabilities and enabling the Slack-to-Teams migration, saving around $3M per year on licenses.

The Benefits

More engineering capacity, 600+ hours/year returned from operational toil.

Faster execution, provisioning and deployments reduced to ~3 minutes.

Lower risk at scale, retail upgrades automated across 900+ stores, security issues mitigated, Slack-to-Teams migration enabled.

Talk to the founder

“As an engineer, I’ve seen how manual delivery work quietly drains time and reliability. I built Expeditious Software to remove bottlenecks, reduce operational toil, and deliver measurable improvements in speed and stability.”

Mateusz Ulas

Founder of ES.nl

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