Data & AI for Operations
Demand forecasting and AI-driven supply chain: customized predictive engines to optimise operational processes.
Sell-out forecasting is one of today’s main challenges for most manufacturing companies.
Thanks to our strong technical knowledge of machine learning and advanced AI techniques, we build highly comprehensive and reliable sell-out prediction models able to adapt themselves to market unpredictable effects and industry specifications.
Existing prediction engines have significant limitations due to three main reasons:
1. The complexity of extracting data from most data sources (Excel files such as media plans, PDF reports…)
2. The inability to predict several effects that impact final sales (Social Media, competition…)
3. The incapacity to account for specific industry effects (Global Shoppers effect – Luxury, environmental government initiatives – Car industry…).
We design and deliver concrete actions through an exhaustive framework.
From data management strategy to making sure organizations are GDPR compliant, our team helps and advises executives on how to optimise their data governance to improve their performance.>We believe in creating unique solutions for each of our clients, and we integrate their teams to design a tailor-made and efficient organisation.
Predicting impact of promotions on sell-out
Manufacturers and retailers share the goal of stimulating more shopping trips, so promotional campaigns are often geared towards this mutually beneficial goal. Promotions given by retailers and manufacturers have a complex structure, which includes both monetary and non-monetary components, as well as immediate and long-term effects.
In order to optimize the strategy of promotions (quantity, price, time, product,…) and impact on sell-out, it is necessary to be able to appreciate the value and impact of them.
However promotions have a cost: either the loss of sales for similar products that would have been bought otherwise or the loss of revenue due to the promotion itself. Having a clear and self-learning evaluation of promotions is mandatory to track and optimize the use of it and Artefact is able to build such predictive models to improve promotional decisions.
Pattern and regularity detection
Pattern detection is a fundamental branch of data analysis. It mainly consists of the recognition of patterns and regularities in data to understand specific behaviours.
Identifying an issue inside your supply chain process, detecting frauds operations or exposing suspicious behaviour within a crowd are concrete, high-value use cases. Our Artefact’s methodology is designed to detect this outlier behaviour while avoiding the trap of this scarcity phenomenon.
We make the best use of available raw data (structured data such as operation logs or even images & video recording) before the processing and modelisation steps to expose the desired anomalies.
Our expert content about Data & AI transformation
The Future of Marketing Measurement: Key Insights on Meridian MMM, Attribution & ROI Optimization
On the 20th of March, Artefact and Google had the pleasure of co-organizing a special event centered around the launch of Google’s latest innovation in...
Is it necessary to hire a Chief AI Officer to be effective?
A Chief AI Officer: What’s the Role? Is this new position destined to disappear once AI is fully integrated into the company, or will it...
Scaling GenAI in Financial Services : the value, governance and Agentic paradigm
The financial services industry is at a pivotal moment, where AI is no longer just an enabler but a key driver of competitive advantage. From...
The Shift of Chinese Luxury Consumption Overseas: How Brands Can Leverage Data and Digitalization to Gain a Competitive Edge
In the context of slow growth in the global luxury market, Chinese consumers remain a significant force. However, their consumption behavior is undergoing notable changes.
What Does AI Sovereignty Really Mean?
Artificial Intelligence (AI) sovereignty is no longer a theoretical concept—it has become a critical priority for businesses and governments worldwide. On January 30th, 2024, at...
Partner Spotlight: Artefact Helps Deliver Enhanced Value from Your Treasure Data CDP
By joining forces together, and combining the power of Treasure Data Customer Data Platform (CDP) with Artefact’s end-to-end consultancy support services, brands can generate more...
The state of luxury today: the transformative power of data and AI
Edouard de Mézerac is Artefact’s Managing Partner, Global Lead of Luxury & Beauty and Global Lead of Industry Practices. He has spent much of his...
A Complete Guide to Customer Data Platforms
In today's data-driven world, managing data about customers can be overwhelming. This is where Customer Data Platforms (CDPs) come in. A CDP helps organizations unify,...
Apache Paimon: A Real-Time Data Lake Framework and Its Applications | The Engine Driving Data and AI Transformation
In the era of digital transformation, enterprises continuously accumulate massive data sets with growing scale and complexity.
The 10 Habits of Highly Successful Data & AI Leaders in Government Entities
It’s no secret that leading a data and intelligence office in a government entity is a difficult job. This role faces numerous pressures, both internally...
AI Breathes New Life into Clinical Trials: Perspectives and Challenges
Artificial intelligence is transforming the world of clinical trials, promising to cut drug development timelines in half.
Orange bets on AI for network optimization, automation
Artefact mentioned in this interview from Brelotte Ba, deputy CEO of Orange Middle East and Africa, by Connecting Africa, on Orange's latest AI and GenAI...
