Cosmos is a spend analytics solution that transforms disparate data into a single source of truth for procurement teams.
Cosmos is a spend analytics platform from Barcanet designed for procurement professionals. It consolidates data from various sources into a single, unified view, presented through AI-driven dashboards. The platform aims to simplify spend analysis, enabling teams to identify cost-saving opportunities, manage supplier risk, and improve purchasing power. Key features include natural language querying, 'what-if' scenario modeling, and detailed management modules for categories, suppliers, and tail spend. Pricing is structured in three annual tiers—Starter, Growth, and Enterprise—with costs starting from £12,500 per year. The solution is cloud-based and supported by a dedicated data scientist. While it offers powerful analytics, it does not have a free trial or free tier, and pricing requires contacting the sales team.
Provides real-time data insights to make jobs easier and free up time for strategic work.
Allows users to type questions in natural language and let the technology generate the response.
Enables users to create and analyze hypothetical scenarios, such as standardizing payment terms.
Offers tools to analyze and manage spend by category.
Provides insights into supplier spend and performance.
Helps identify and manage low-value, high-volume purchases.
Includes data and insights related to sustainability and environmental impact.
Visualizes key performance indicators for procurement.
Notifies users of important changes or exceptions in spend data.
Surfaces trends and insights automatically using artificial intelligence.
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Cosmos is a spend analytics solution that transforms disparate data into a single source of truth for procurement teams.
Does Cosmos have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
GBP
Email Address
hello@barcanet.comContact
020 8720 6756Meritech Analytics is a benchmarking software from Meritech that provides comprehensive data for SaaS leaders.…
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