Download PDF
Monoprix's Digital Transformation: Harnessing Data for Optimized Promotional Campaigns
Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Asset Management Systems (EAM)
Applicable Industries
- Equipment & Machinery
- Retail
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Asset Health Management (AHM)
- Asset Lifecycle Management
The Challenge
Monoprix, a major French distribution chain, was in the process of digitalizing its operations and wanted to leverage data to optimize its promotional campaigns. The company was looking for a solution that could forecast the sale of promotional products, anticipate supplies, reduce stock shortages, and analyze customer behavior. The challenge was to find a tool that could be used by business analysts without the need for coding skills. The company was also undergoing a complete overhaul of the architecture of its promotional system, which required the industrialization of its promotion production.
About The Customer
Monoprix is a major French distribution chain that introduced the concept of the 'department store' in France. It is a significant player in the convenience store sector and is part of the Casino group. The company operates 632 stores of varying formats, including monop', monop' beauty, and Naturalia, and employs over 21,000 people. As part of its digital transformation, Monoprix sought to harness data to optimize its promotional campaigns and improve its overall business operations.
The Solution
Monoprix chose Alteryx, a data analytics platform, to meet its needs. The implementation of Alteryx took place in two stages. The first stage involved automating the promotional mechanism, which required transforming all the related data processes. The second stage involved enhancing the promotions by taking into account predictive logics, such as product types and seasonality, to predict the potential of a promotion. Alteryx's platform is intuitive and easy to use, making it accessible to all types of users. It allows users to manipulate data and develop their skills. The company also worked with partners like the Information Lab to leverage previously untapped Alteryx modules and develop complex workflows. Monoprix is developing a predictive model for forecasting performance and creating a planogram to visualize the placement of different products in the store.
Operational Impact
Quantitative Benefit
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.
