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Investments in data have long focused on revenues. Yet Big data proves to be a key element in operations’ performance.

Sales, Supply Chain and Manufacturing generate data volumes still largely unexploited. We have identified, for each industry, performance elements revolving around data.

Argon Digital provides innovative solutions to bring a competitive edge to its clients, merging algorithmic solutions and industry expertise.

Leverage data for operation's performance

WHY ADVANCED ANALYTICS ?

Fast improvements in computations and storage capabilities make Big Data accessible to all enterprise functions

Democratisation of Machine Learning competencies enables the conception, deployment and use of advanced algorithmic solutions at the heart of the systems

Artificial Intelligence, vastly present in consumers’ lives (smartphones, cars, online…), is a transformation strongly impacting industrial and logistics operations

Data has become a major asset of companies. Internal data follows suit; the value of data collected for many years – even more than customers’ data – becomes a major lever of the operations’ transformation in companies.

 
DATA TO IMPROVE PERFORMANCE

Manufacturing

Stock reduction

Planning Optimization

Advanced forecasting

Predictive maintenance

Customer service quality improvement

 
A TARGETED APPROACH ON SPECIFIC USE CASES
Manufacturing

Quality improvement using Machine Learning

Detection of optimal production parameters (components, machines’ settings, running time) using Artificial Intelligence to reach a quality target

Transformation of the activity forecast into reliable, dynamic and actionable data for all levels of the company, coherent at all product and geography views
Leverage Machine Learning to use external factors in predictions

Embed your experts’ knowledge in the forecast

Predictions at every level of the supply chain – logistic platform, store operations, suppliers…

Advanced Forecasting
Stock Reduction
Adapt stock policies to consumption patterns for each product (spare parts, tools, consumables…)
Dynamic optimisation of replenishment policies for stores, using marketing, inventory and financial data
Maintenance costs modelling
Large maintenance works total cost optimisation by analysing cost drivers
“Prescriptive” maintenance – dynamic optimisation of maintenance policies using machines’ utilisation, condition and failures within all monitored machines
Predictive Maintenance
Planning Optimization

Production times prevision

Productivity optimisation, especially on complex and labour-intensive activities
WHAT ARGON DIGITAL OFFERS
Identification of use cases: leverage our system and industries knowledge to identify high value use cases (workshops – ideas generation and project definition)
Development and deployment of innovative algorithmic solutions to industries’ issue
Fast proof of concept to test and quantify solutions’ relevance
Work with our clients in the implementation of those solutions and in associated change management (ROI, operational implementation scenarios, associated implementation projets, IT impacts, processes)
Work with our clients on strategies and choices regarding technologies linked to Data Science

OUR STRENGTHS

Our main advantage: we combine a thorough knowledge of processes within companies and Data Science competencies
  • Handling, storing, cleaning and analysing large quantities of varied and complex datasets has become common practice for all our consultants

  • Estimating the operational value of data

  • Simply visualising complex correlations

  • Running simulations on large historical datasets (millions of orders, millions of articles,…)

  • Identifying Data Science use cases in an operational excellence project

 
 
EXAMPLES OF RECENT PROJECTS

20% stock reduction for a leading industrial French company. Identification of duplicate reference codes, stock mutualisation across multiple sites, use patterns analysis

Optimisation of manufacturing sequences for a luxury goods multinational

30% improvement of predictions’ algorithms for production quality

Industrial maintenance – Computations and distribution of maintenance budgets using big data analytics – use and condition of equipment, cost of maintenance. 5-year activity history, maintenance policy

 
CONTACT

Samuel Demont

Director in charge of Advanced Analytics

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