How to move to continuous delivery in retail without increasing risk

In our recent article around the “good enough” debate, we explored the tension between speed and quality in retail digital delivery. If you’re responsible for getting new features live, you’ll know that tension becomes very real when shifting from periodic releases to continuous delivery. 

In this month’s article Steve Dennis, Spike’s Executive Director, shares what that transition actually requires for any retail tech business and why testing sits at its centre. 

We're living in a world that moves fast and, like in all other areas of life, blink and you're left behind. 

New checkout features, improved search, loyalty integrations, fulfilment updates, personalisation enhancements... we could go on. And your competitors always seem to be one step ahead. 

Most retail organisations are partway through the shift from traditional ‘big drop’ releases towards more agile, continuous models. The technology stack may already support frequent deployment but the real constraint is confidence. 

Why does a continuous release cadence matter in retail tech? 

For retail tech leaders, there are clear benefits: 

1. Faster commercial impact
   
   A continuous release model allows merchandising, marketing and digital teams to test, learn and adapt in near real time. Features go live when ready and that agility positively impacts trading performance. 
2. Better alignment with peak cycles
   
    Retail operates in rhythm: Black Friday, seasonal sales, new product launches. Large, high-risk ‘big bang’ releases just before peak trading create enormous stress across technology and trading teams. 
3. Stronger engineering capability in a competitive talent market
   
   Smaller, incremental releases reduce this risk as fewer changes go live at once, it’s easier to isolate issues and confidence increases ahead of peak. 

Engineering talent and developers now expect modern CI/CD pipelines, automation and incremental deployment. If retail technology teams don’t modernise delivery, retention becomes harder, especially in e-commerce environments built on platforms like Shopify, Salesforce Commerce Cloud, Adobe Commerce or composable architectures. 

How do you move to a continuous release cycle in retail tech? 

Here’s how we’d increase release frequency safely: 

1. Start with commercial risk
   
   Not every change carries the same weight. Before increasing cadence, segment your platform by risk:
   
   
   • Revenue-critical journeys (browse, basket, checkout)
   • Promotion and pricing logic
   • Payments and fulfilment integrations
   • Loyalty and CRM connections
2. Increase cadence gradually
   
   The most common mistake is attempting to jump from quarterly releases to weekly deployment overnight. Instead, take incremental steps: Quarterly → Monthly → Fortnightly → Weekly.
   
   At each stage, review:
   
   
   • Defect escape rates 
   • Regression effort 
   • Stakeholder confidence 
   • Stress around release days
   If confidence drops, stabilise before accelerating again. Continuous release is about predictability, not speed. Continuous release works best when you understand where risk concentrates. Then you can design the release cadence and testing effort accordingly (and it's ok for each to be different!).  
3. Clarify ownership 
   
   In many retail organisations, testing becomes the bottleneck because responsibilities are blurred.
   
   To scale safely:
   
   
   • Developers own technical validation and automated checks.
   • Specialist testers own structured functional regression and cross-system end-to-end flows.
   • Commercial stakeholders focus on acceptance i.e. validating real-world trading scenarios.

   Internal teams should confirm that a promotion calculates correctly or a fulfilment rule behaves as expected. They should not be repeatedly executing regression scripts across every release cycle.

4. Embed testing into the delivery flow -
   
   

   Retail platforms are integration-heavy and automation alone is rarely enough. A mature continuous model includes:

   • Automated unit and integration tests
   • Structured end-to-end functional testing (with automation supporting manual exploration)
   • Targeted performance testing to prove live volumes
   • Controlled user acceptance focused on commercial outcomes
   • Operational Acceptance Testing to prove live readiness and rehearse critical early life support processes

   Testing must shift from being a gate at the end of a project to an ongoing discipline that scales with release frequency. Without this shift, increasing deployment speed simply increases anxiety.

5. Strengthen monitoring and feedback loops
   
   Continuous release only works when issues can be detected and resolved quickly. To do this, you’ll need: 

• • Clear KPIs for each release 
  • Real-time monitoring of conversion and checkout performance 
  • Defined rollback or mitigation processes. 

This is the point where many retail organisations encounter friction as developers are expected to move faster, trading teams want confidence, and internal testing teams are stretched. 

Oh hello Spike… 

We work with retail technology leaders to overcome these issues by owning the structured functional testing layer between development and commercial acceptance. 

This alignment allows retailers to modernise delivery without overloading internal teams or increasing commercial risk. It’s controlled, repeatable delivery that protects the customer experience while enabling constant optimisation. 

With clear ownership and structured testing, continuous release becomes a commercial advantage, instead of a risk to manage. 

Helping Currys deliver a reliable cadence of fixes and changes 

One of the challenges facing Currys was a need to move from one-off programme delivery mode to a fortnightly change cycle.

Find out how we've supported them to do this.