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Case Study
Website Content Automation
×
Thanks to our competencies we automated and centralized the management of product data for the websites of a multinational household appliance.
Where: Italy
Where: Italy
Challenge
A world leading home appliance company, with more than 21 billion in annual sales, 92.000 employees and 65 manufacturing and technology research centers, needed to begin a data automation process. The goal was to enrich and keep up-to-date all information and digital resources related to the products on its websites.
Approach
The solution sought therefore had to reduce manual work, errors and product’s information discrepancies, shorten time-to-market and ensure corporate identity and coherence of the brand on the different channels and in the different markets.
Digital Ecosystem
Solution
Digital Ecosystem
In the first phase, our team identified the key actors. An assessment of the existing IT architecture was then carried out to identify any gaps.
Once the process, workflow and rules for data enrichment were defined, automation began with a pilot project in a specific country.
Process rules were created on product’s master data. Rules were then inserted into automated and recurring programs, calculating and assigning predetermined texts to specific products as well as assigning specific products to filtering classes.
This allowed to provide a clear view of the characteristics of the product. At the end of the project, information and filtering of products and digital resources (technical specifications, images / galleries and documents) were automatically imported to more than 180 websites in more than 30 languages.
Results
Reduced manual work and errors
Shorter time-to-market
Brand coherence across all web channels
Faster and more precise transmission of content
Impacts
Technologies
AI & Data
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From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
Research Project
CompSTLar: Boosting the digital transformation of aviation supply chains
A new integrated and interoperable search ecosystem enabling faster and more informed decisions along the aircraft supply chain.
-
Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Research Project
Circular TwAIn - AI for Recycling, Reusing and Remanufacturing
An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.
-
Research Project
CompSTLar: Boosting the digital transformation of aviation supply chains
A new integrated and interoperable search ecosystem enabling faster and more informed decisions along the aircraft supply chain.
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