Download PDF
Streamlining Invoicing and Approval Processes: A Case Study of LVMH Italia
Technology Category
- Sensors - Flow Meters
- Sensors - Liquid Detection Sensors
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Quality Assurance
- Sales & Marketing
Use Cases
- Retail Store Automation
- Theft Detection
The Challenge
LVMH Italia, a distributor of premium brands of perfume and cosmetics throughout Italy, was facing significant challenges with its invoicing and approvals processes for retail vendors. The company, which markets luxury fragrance, skincare, and other cosmetic products from designer brands including Christian Dior, Fendi, Givenchy, and Kenzo, was experiencing delays in processing invoices due to incorrect or missing reference numbers. This led to deferred payments from retailers for LVMH Italia’s products, resulting in cash flow delays, wasted employee time, and potential damage to relationships with retail partners. Additionally, as part of the global LVMH group, LVMH Italia needed to adhere to group-level policies and provide evidence of compliance with international brand guidelines. This required a complex process for approving new retailers and re-approving existing ones every two years, to ensure they met the high standards appropriate for high-end cosmetics and perfumes.
About The Customer
LVMH Italia is a distributor of some of the world’s most recognized designer brands. The company is responsible for marketing and distributing premium brands of perfume and cosmetics throughout Italy, serving 1,500 retailers while adhering to global policies defined by LVMH corporate. The company promotes high-end products to potential customers by paying selected retailers to display in-store promotions and host marketing events. LVMH Italia is part of the global perfume and cosmetics division of the wider LVMH group, and as such, it needs to adhere to policies set at the group level and provide evidence of compliance with international brand guidelines.
The Solution
LVMH Italia implemented Nintex K2 Five to streamline its invoicing and approvals processes. The software allows the company to enter all information about planned trade marketing activities, which is then sent to the relevant department for authorization. During the promotion period, an employee verifies that the marketing activity has taken place, and a proforma invoice with all the correct references and financial details is generated for the retailer. This enables LVMH Italia to pay retailers promptly, improving cash flow and retailer satisfaction. The company also used Nintex K2 Five to transform its retailer approval process. A fully automated workflow ensures all required steps are taken to approve or re-approve retailers in accordance with group policy. Key documents can be attached to the workflow, centralizing all information relating to retailer approvals.
Operational Impact
Quantitative Benefit
Related Case Studies.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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.
