E-Commerce Automation: Continuous Expansions Maximize Throughput and Minimize Operating Costs
Customer Company Size
Mid-size Company
Region
- Europe
Country
- Switzerland
Product
- AutoStore
- Click&Pick®
- QuickMove
Tech Stack
- Robotics
- Automated Storage and Retrieval Systems (ASRS)
- Conveyor Systems
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Functional Applications - Warehouse Management Systems (WMS)
- Automation & Control - Automation & Process Control Systems
- Networks & Connectivity - Wireless Local Area Network
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Warehouse & Inventory Management
- Logistics & Transportation
Use Cases
- Warehouse Automation
- Inventory Management
- Supply Chain Visibility
Services
- System Integration
- Software Design & Engineering Services
About The Customer
The Competec Group includes e-commerce companies BRACK.CH AG and Alltron AG and sells more than 80,000 items directly from its warehouse. The range of products covers items from more than 1,000 manufacturers in the areas of IT, electronics, home and garden, family and leisure. Competec Logistik AG is the logistics service provider for the trading companies within the Competec Group. Its headquarters are at the Competec Logistics Center in Willisau, Switzerland. Services include next-business-day delivery for orders placed before 5:00 pm and same-day delivery for orders placed before 9:00 am. The Competec Group, whose corporate headquarters are in Mägenwil, Switzerland, also includes online IT retailer BRACK.CH AG, IT/CE/electronics/telecom distributor Alltron AG, and the central services consolidated under Competec Service AG. The Group employs 483 people and generated approximately 535 million Swiss Francs in sales in 2015. The companies within the Competec Group use shipping practices that are climate-neutral.
The Challenge
Until 2012, Competec had four different locations where products were stored and picked. The ordered products had to be consolidated in the main distribution center through a cumbersome process. In light of the constantly growing demand, the existing logistics capacities were quickly reaching their limits. Because customers expect all orders received by 5:00 pm to be shipped the same day, Competec needed to centralize and automate their logistics operations to meet this level of service. After comparing different goods-to-person concepts, Competec decided in 2011 to go with the new Click&Pick® solution from Swisslog. AutoStore enabled them to achieve a high storage density, and robot vehicles quickly and efficiently handled the storage and retrieval processes for the items stored in bins. The new, scalable, and highly advanced system enabled Competec to quickly and efficiently process a growing number of small batch sizes.
The Solution
Competec installed one of the world's largest and most advanced AutoStore systems in its 55,000 m² distribution center in Willisau near Lucerne. The facility went into operation in mid-2015. The AutoStore system enabled Competec to achieve a high storage density, with robot vehicles quickly and efficiently handling the storage and retrieval processes for the items stored in bins. The new, scalable, and highly advanced system allowed Competec to process a growing number of small batch sizes efficiently. Since the company continued to grow even after the new system went into operation, the ability to quickly and flexibly expand the new system was soon put to the test. Just one year after the scalable Click&Pick® solution had been introduced, the transport capacity was expanded to meet the increasing requirements by adding additional robots. The need for expansion again became critical in early 2014, leading to the addition of a second, even larger AutoStore system. The goal of the second AutoStore system was to give the Competec Group ample room to grow. Scalability and expandability were again top priorities. The new system now permits maximum expandability with a reasonable initial investment. Future additions can be completed in just a few weeks, depending on the requirements. Capital costs are incurred at the same time that the associated investment can be used, giving the Competec Group an outstanding cost-benefit ratio.
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.