2 Integrations with Infosys Cortex
View a list of Infosys Cortex integrations and software that integrates with Infosys Cortex below. Compare the best Infosys Cortex integrations as well as features, ratings, user reviews, and pricing of software that integrates with Infosys Cortex. Here are the current Infosys Cortex integrations in 2026:
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Triple Point S&OP
Triple Point
Triple Point for Sales & Operations Planning (S&OP) provides a powerful platform for creating and maintaining a sales and operations plan that leverages advanced simulation and optimization functionality to achieve high performance across the value chain. Determine rapidly what portion of a forecast is feasible to produce, and what product mix is most profitable. Leverage advanced optimization technology to identify opportunities to increase profitability. Calculate safety stock recommendations based on targeted customer service levels. Leverage a powerful optimization engine that develops production plans maximizing profitability. Connect operational planning and financial planning capabilities. Enable continuous updating of plans in response to business demands and unplanned events. Deliver enterprise-wide visibility and access to accurate, timely data. Understand the tactical and strategic initiatives that must be executed to achieve plan. -
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XTEL AI
XTEL AI
XTEL is a commercial execution AI platform built to help companies translate data into actionable strategies and seamlessly carry them out. It features modules like ADAM (Augmented Data Management) to ingest and normalize data; RGM (Revenue Growth Management) to generate insights and strategy across the full company lens; MAX AI for profit and revenue optimization; TPX for trade promotion management (from planning to execution); and REX for retail execution, ensuring coordination across channels, customers, and routes. It is configured for enterprise deployment: modular and scalable architecture with open APIs, compliance with ISO, SOC, GDPR, etc., and built on Azure to support centralized or local models. Its AI and data science layer is purpose-built for the consumer goods domain yet remains configurable, back-tested, and transparent to maintain trust and reliability.
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