Introduction
Morplan is the UK's leading supplier of retail display, merchandising, and store equipment. Trusted by independent boutiques, department stores, and global fashion brands alike, Morplan equips retailers with everything they need — from hangers and mannequins to signage systems and shopfitting solutions.
For a business serving professional retail buyers, the online storefront must perform at the same high standard as the products it sells. Buyers expect instant access to large product catalogues, fast browsing across thousands of SKUs, and a frictionless journey from discovery to checkout.
To meet these expectations, Morplan partnered with Speed Kit to optimize the performance of its e-commerce platform. Using predictive preloading and advanced image optimization, Speed Kit accelerates page delivery and enhances the browsing experience — helping Morplan's customers find and procure the right products faster than ever before.
"Working with Speed Kit has been an outstanding experience. The integration was smooth, the impact on our site performance was immediate, and the team has been responsive, proactive and truly invested in our success. Speed Kit feels less like a vendor and more like an extension of our own ecommerce team."
Challenge
Solution
Morplan operates a feature-rich commerce platform designed for B2B and retail buyers, supporting extensive product ranges and frequent catalogue updates. Speed Kit was integrated as a high-performance optimization layer, requiring no changes to the existing tech stack.
Speed Kit's core mechanism — predictive preloading — anticipates the pages a user is most likely to visit next and silently pre-caches them in the background. Combined with automatic image compression and next-generation format conversion (AVIF/WebP), Speed Kit ensures that each page loads as close to instantly as possible.
The result: a dramatically faster shopping experience across product pages, category listings, and the homepage — without any developer effort or infrastructure changes required from the Morplan team.
Speed Kit is an official ACE eligible technology partner and independent software vendor (advanced tier) of the AWS Competency Partner Program "Accelerate" as well as the Workload Migration Program. Our technology is powered by 13 different AWS services:
- Elastic Kubernetes Service (EKS): We use EKS to schedule and orchestrate our Speed Kit applications on EC2 instances.
- Simple Storage Service (S3): Speed Kit stores cached assets in S3 buckets. Additionally, we store RUM (Real User Monitoring) and PI (Performance Insights) data in S3 buckets for analytics purposes.
- Elastic Compute Cloud (EC2): Our workloads are hosted on EC2 instances, as managed through EKS.
- Kinesis Data Streams: Kinesis Data Streams are used to ingest RUM and PI data from Speed Kit, which is then consumed by Amazon Managed Service for Apache Flink. Fastly also streams access logs to our Kinesis Data Stream, which are similarly consumed by Amazon Managed Service for Apache Flink.
- Athena: We use Amazon Athena to query data stored in AWS S3 buckets, enabling performance insights and asset preloading.
- Elastic Container Registry (ECR): Docker images are stored in ECR and deployed in our Kubernetes cluster, which is managed by EKS. For third-party application images, we use the pull-through-cache feature of ECR.
- Elastic Container Service (ECS): We build Docker images using a service hosted on Amazon ECS.
- Route 53: Route53 is used to manage DNS records.
- Simple Email Service (SES): We use SES is used for sending transactional emails.
- Managed Streaming for Apache Kafka (MSK): We use MSK to facilitate consuming and producing custom event records for different applications.
- DynamoDB: Speed Kit uses DynamoDB to store information related to our predictive preload feature.
- Lambda: We use Lambda to pre-render client side renderd pages to make that actual server side rendered.
- ElastiCache (Redis OSS): We use ElastiCache to store our Bloom filter, which checks whether an asset is present in our cache.
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Click the image to open the architectual diagram of Speed Kit with AWS
Results
Predictive Preloading Coverage
Performance Improvements — Largest Contentful Paint (LCP)
Speed Kit delivered substantial LCP improvements across all key page types during the Proof of Concept (March 24 – April 20, 2026):
Image Optimization
In addition to page speed, Speed Kit automatically optimizes every image served through the Morplan platform — converting JPEGs to the modern AVIF format and resizing assets for the requesting device. The results across 2.2 million monthly images:
JPEG images converted to AVIF achieved up to 50% compression. The largest individual product images — originally 2.9 MB PNGs — were reduced to as little as 144 KB AVIF, a saving of 95% with no visible quality loss.
Business Impact - A/B Test: Conversion Rate Analysis
Speed Kit was deployed in a controlled 50/50 A/B test over four weeks comparing Speed Kit-accelerated sessions against an unaccelerated control group. The test was drawn from Morplan's own analytics export.
Statistical Significance: The +5.72% user CVR uplift is statistically significant with a p-value of ~6.98% (95% confidence level), based on a 4-week, 50/50 A/B test. The improvement is not attributable to random variation.
Conclusion
For Morplan, performance is not just a technical concern — it is a commercial imperative. Retail buyers browsing thousands of SKUs need a fast, responsive experience that keeps pace with their professional decision-making. Speed Kit delivers exactly that.
By accelerating page loads by up to 800ms on product pages and pre-rendering 40% of next pages before users even click, Speed Kit transforms the Morplan browsing experience into something genuinely instant. The commercial outcome speaks for itself: a statistically significant +5.72% uplift in user conversion rate, translating to a 14x return on investment.
Speed Kit is now a permanent part of Morplan's performance stack, ensuring that every visitor benefits from a fast, seamless, and highly optimized shopping experience.
