Featuring purpose-built modules that meet your industry needs
With growing pressure for digital leaders to adopt AI, enterprise data is key for large language models (LLMs) to deliver high-quality results. Ai.R™ makes your data speak profit. Deployed on the Google Cloud Platform, our analytic engine integrates and transforms enterprise data from siloed systems, data lakes, BI platforms, third parties, and spreadsheets—generating a comprehensive P&L statement for each invoice line of every transaction. With Ai.R™, gain a coherent, AI-ready dataset, updated every period, that LLMs can leverage to fuel the AI revolution in your business.
Amid escalating market pressures, CFOs must make informed decisions quickly to boost profitability and improve performance—and that requires accurate, timely, and relevant data. Explore our modules tailored for high-performing finance teams to support data-driven decisions that align with strategic business objectives.
Elevate your sales and marketing strategies with detailed profitability insights into promotions, customers, and products. These modules help teams manage marketing budgets, refine pricing strategies, prioritize the most profitable customers (and minimize unprofitable ones), and navigate diverse sales channels. Empower your teams with the insights they need to fuel profitable growth.
In recent years, slower growth, high inflation, and supply chain disruptions have reshaped executive strategies for inventory and purchasing management. Our modules analyze profitability patterns from categories down to individual products, suppliers, and channels. These insights empower teams to negotiate better contracts, tailor a pricing-volume-product mix strategy across various channels, and gain a competitive edge in supplier management.
To be effective in today’s market, operations must be data-driven. Make use of your frontline data and gain complete profit visibility into each activity, individual, product, or service. These modules allow teams across sectors to focus on maximizing efficiencies and reducing costs.
