
COVALYZE
Description de COVALYZE
COVALYZE est une plateforme cloud intelligente conçue pour gérer vos groupes de marchandises de manière optimale. Grâce à l'analytique basée sur l'IA (intelligence artificielle), vous savez quels fournisseurs surévaluent le prix de leurs matériaux ou services et quel est le prix équitable pour chaque article. COVALYZE permet à toutes vos équipes à travers le monde de mettre en œuvre d'importantes réductions de coûts beaucoup plus rapidement.
Qui utilise COVALYZE ?
Toute entreprise ou institution dans le monde qui achète des matériaux et services tiers d'une valeur supérieure à 50 millions d'euros par an.
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COVALYZE
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Utilisateur vérifié
Great Commodity Insights
Commentaires : Covalyze enabled a robust and objective insight into several cost outliers, further supporting the related supplier negotiation and resulting savings. Throughout our data-heavy commodity area, Covalyze help us to clearly identify areas of focus, through slick data regression methods.
Avantages :
This really enabled me and the team to efficiently interpret significant amounts of cost data, saving time and energy on analysis, and allowing us to better focus on those targeted savings opportunities.
Inconvénients :
I would have preferred more ability to manipulate data further, but access and ability to export is limited.
Johnson
Great Price vs Performance Tool for any Procurement Department
Commentaires : It was a wonderful collaborative experience working with Covalyze to onboard commodities and pioneer the Price vs Performance Regression analysis methodology at Dyson. It has helped Commodity Managers develop another benchmarking tool to support negotiation preparation, enabling them to realise over $2M savings across 10+ commodities.
Avantages :
Covalyze uses a sophisticated and well-developed regression methodology to develop a "price calculator" for commodity costing. The user-friendly interface helps Commodity Managers identify price outliers very easily to address with suppliers and makes progressive steps into developing a commodity cost calculator in alignment with actual commodity cost structures. The software helps to identify potential savings from consolidating spends across similar parts and different suppliers, which highlights and outlines Procurement's priorities for annual negotiations
Inconvénients :
The onboarding process requires a deep commodity understanding of the performance and cost drivers in order to develop an accurate price formula before valuable and accurate insights can be extracted. Fortunately, the Covalyze team is experienced in asking the right questions and have technical expertise/background to develop this with the client.
Jolene
Good cost regression software.
Avantages :
Covalyze has managed to break down a simple component and put a value to the technical characteristic that the component should cost. Although different manufacturer do have different manufacturing processes that ends up with different prices, it is still a good baseline to understand if we are paying at the market price.
Inconvénients :
Covalyze should improve on the download feature so that we can easily download the information that we require for the models that we required/
Nadine
Dyson MCU
Commentaires : very profession, friendly and helpful having several rounds of discussions with our engineering teams to fully customise to our specific requirements
Avantages :
easy to interact with and visual for extracting key information quickly
Inconvénients :
the low frequency at which the market data is refreshed
Réponse de l'équipe de Valunoo
il y a 12 mois
Thanks a lot for your feedback and your suggestion for a higher frequency on updating additional market data - we will work on that!
Hans Gero Wei Han
Interessanter, erstaunlich tiefer Einblick ins Materialportfolio
Commentaires : Bestätigung von Bauchgefühlen zu Warengruppe.
Avantages :
Darstellung von Einsparpotenzialen. Automatische Clusterung. Aufzeigen von Gaps in Daten. Gute Präsentierbarkeit um Potenziale sichtbar zu machen.
Inconvénients :
Lernkurve in der Vergleichbarkeit von Materialfeatures. Weiterhin viel manueller Aufwand notwendig.