Customer Company Size
Large Corporate
Region
- Europe
Country
- United Kingdom
- Germany
- Netherlands
Product
- Cloudflare
- Cloudflare Workers
- Cloudflare Argo Smart Routing
- Cloudflare Tiered Caching
- Cloudflare Load Balancing
Tech Stack
- AWS S3
- AWS ALB
- New Relic
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Cost Savings
- Productivity Improvements
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Supply Chain Visibility
- Fleet Management
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
AO is the largest online-only electricals retailer in the UK. Their company’s purpose is to relentlessly strive for better ways to ensure their customers are happy. AO started in 2000 with a bet between their founder John Roberts and his friend, JR was insistent that there was a better way for people to buy white goods online that was rooted in the best possible outcome for the consumer. The result of this wager has evolved to the present day as AO, which supports over 3,000 employees in three countries, selling a wide range of electrical items and boasting the world’s best recycling plant in Europe.
The Challenge
In 2015, AO began their expansion into Germany and the Netherlands. While the logistical effort of delivering products in these new markets was a challenge, they also faced increased pressure to ensure that their website would perform optimally for customers in these regions. AO implemented a well known content delivery network (CDN) to improve site performance across all of their web domains, and to reduce their overall infrastructure costs. While the onboarding process and support was straightforward, it wasn’t until they began routing more traffic to the provider’s edge network that they started experiencing some new unforeseen challenges. They were hit with some very high unexpected charges as a result, and this made them question the overall investment return of this solution. They also experienced an outage around this time, and had issues getting their case sufficiently escalated. These events forced AO to begin exploring alternatives for a solution that would be more cost-effective and support over the long term.
The Solution
AO considered many other offerings before deciding on Cloudflare. Cloudflare offered a technically innovative platform that included security features like DDoS protection by default, and was less expensive, with no overage charges for seasonal spikes in bandwidth. AO primarily uses Cloudflare to improve the performance of their web and mobile properties. Faster websites translate to happier customers, and this is core to their mission. Cloudflare exceeded their performance expectations compared to their previous provider. Once they enabled Cloudflare with features such as Rocket Loader, they immediately saw a 1.7 second decrease in page load times across all of their sites. AO uses New Relic to track their apdex scoring, and immediately saw a 10% increase in the number of satisfied requests. Argo Smart Routing with Tiered Caching was also deployed, which allows Cloudflare to route traffic and requests across the fastest, and least congested network paths to their users. Tiered caching reduces the number of requests that hit their origins by leveraging Cloudflare’s Tier-1 data centers to serve requested content. AO also discovered that Cloudflare Workers could help ease the pain of migrating from their previous solution. Workers runs simple business logic that automatically converts these files so they can be stored in S3. If Workers weren’t employed, it would have meant significant code changes to their websites to handle these files in the required S3 format. Lastly, to ensure a highly resilient architecture across their sites they use Cloudflare load balancing in addition to AWS ALB. ALB supports their EC2 instances, while Cloudflare load balancing provides instant failover from AWS to their co-located provider in the event of an AWS outage.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.