Optimizing Home Deliveries with IoT: A Case Study of C Chez Vous and Opti-Time
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Equipment & Machinery
- Transportation
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Inventory Management
- Last Mile Delivery
Services
- System Integration
About The Customer
C Chez Vous is a 'last mile' delivery company founded in 2008. It is a subsidiary of the CASINO Group and primarily manages the home delivery of CDISCOUNT products weighing more than 30 kg. The company operates from its logistics hub in Saint Etienne, its 33 regional agencies, and 9 satellites. It has 45 delivery platforms across France and 500 withdrawal points distributed throughout the territory. The company handles 300 to 400 daily home deliveries, amounting to over a million deliveries and 1.5 million point withdrawals per year.
The Challenge
C Chez Vous, a subsidiary of the CASINO Group, is a 'last mile' delivery company that primarily manages the home delivery of CDISCOUNT products weighing more than 30 kg. With 45 delivery platforms in France, 500 withdrawal points distributed throughout the territory, and 300 to 400 daily home deliveries, the company handles over a million deliveries and 1.5 million point withdrawals per year. As the company experienced strong growth, it became crucial to establish a centralized and automated appointment booking and home delivery workflow, including electronic delivery notes. The company also needed to optimize volume-driven appointment scheduling in real-time. With several hundred thousand products to deliver, C Chez Vous required a tool that could integrate into its information system and account for all necessary delivery parameters, such as the product's nature, its size, the deliverymen’s capabilities, the service's nature, and the client's location.
The Solution
C Chez Vous selected Opti-Time from GEOCONCEPT to optimize its delivery system. Opti-Time was chosen primarily for its route optimization performance, overall ergonomics, and an appointment booking module integrated with the tool. This flexible and scalable solution allows C Chez Vous to upgrade its delivery system over time, ensuring optimal route scheduling management. The installation of Opti-Time means that the C Chez Vous delivery schedules are combined and continuously updated in real-time. Delivery scheduling is optimal, factoring in all the company’s logistic constraints and customer availability. After each order placed on the CDISCOUNT website, the customer receives an order confirmation e-mail with a proposed appointment generated by the solution. In the absence of a customer response, the appointment remains in the delivery schedules. C Chez Vous can also easily and instantaneously display the confirmed and unconfirmed appointments at the same time.
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
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.
