Consentino and Celonis, an international reference in intelligence and process mining, have implemented a AI powered assistant for credit lock management. A tool that will help the Almería multinational to be more efficient when addressing blocked sales orders, which can be resolved up to five times faster.
“Celonis process intelligence provides the necessary data and business context to make enterprise AI more effective“comments Manuel Haug, Field CTO of this intelligence company in charge of promoting this tool.
The main differentiating aspect of this AI assistant is that it spans multiple systems, offers a Complete visibility into business processes past and present and enriches them with deep insights such as business rules, industry benchmarks or reference models. “Forward-thinking companies, like Cosentino, are using Celonis’ AI technology to facilitate innovation and accelerate business transformation“adds the CEO.
In the same line, Rafael DomeneGlobal CIO of Cosentino, highlights that his company “has always been a leader in technical innovation,” explaining that the implementation of this AI-powered assistant “has meant a change for order management operations, streamlining our processes and giving rise to faster and more reliable results. “This innovation underscores our ongoing commitment to driving business success by leveraging advanced technology.”
Process Intelligence
In 2024 Cosentino has embarked on an innovation project using AI to optimize business operations. The leading company in the production of sustainable surfaces for design and architecture has resorted a trusted partner with more than a decade of experience in process excellence, machine learning and AI such as Celonis. In just seven weeks, the company was able to identify a compelling use case, extract the necessary information from Cosentino’s IT systemsstructure the data, create the AI assistant and deploy it.
The AI assistant for managing credit blocksFinalize each blocked order in a matter of secondsgathering all relevant data such as order value, customer credit information (e.g. available credit balance) and process-based KPIs (e.g. your block clearing rate).
The assistant then makes a recommendation on what measures to take, such as removing or maintaining the block, and asking for proof that outstanding invoices have been paid. Additionally, this tool provides detailed, fact-based reasoning so that credit experts can easily review and validate the decision. Credit managers can accept the assistant’s decision with the touch of a button or reject it, as well as provide reasoning for the assistant to learn from it.
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