InEight Explore vs GEP SMART Q

The InEight Explore mobile app provides access to standard, custom, and shared dashboards, as well as embedded content, on the go. Changes made in a browser are reflected in the app, allowing for faster decision-making.

Introducing GEP SMART Q, the next-generation unified procurement software application that leverages the AI-native, low-code GEP Quantum platform to deliver unparalleled levels of intelligence, extensibility, and empowerment to the industry-leading GEP SMART work process application for market-leading enterprises. Elevate Your Procurement Experience with GEP SMART Q! GEP SMART Q is the latest addition to our unified procurement software solution, tailored for procurement professionals by procurement experts. Drive unparalleled efficiency and performance with a comprehensive solution for procurement. Our solution is meticulously designed to streamline and automate every step of your source-to-pay processes. Accelerate and Scale Up Innovation with GEP BUILD™ GEP BUILD™ is a state-of-the-art, low-code/no-code platform that integrates AI into supply chain and procurement. Designed to meet the modern enterprise's demands for rapid, adaptable innovation, GEP BUILD empowers users to craft custom apps that bolster the resilience and sustainability of supply chains. Expand Possibilities with GEP APPSTUDIO™ GEP APPSTUDIO allows enterprises to design, configure, and deploy custom apps tailored to their unique procurement and supply chain needs. With its no-code interface, seamless integration, and robust analytics, GEP APPSTUDIO empowers businesses to drive innovation and adapt quickly to changing market demands. Do More With SMART Source to Pay® SMART Source to Pay (SMART S2P) delivers end-to-end procurement functionality — from strategic sourcing and spend management to vendor management, savings tracking, and accounts payable — for both direct and indirect spend on a single, unified platform. SMART S2P® eliminates the need for separate modules, avoiding challenges like poor integration, limited data visibility and low user adoption.