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#预测分析

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May 2Thu
  1. SAP Concur Blog

    How AI Travel Planners Are Revolutionizing Business Travel

    SAP Concur describes how AI travel planners are used in business travel. The article says AI travel planners use algorithms and machine learning to analyze large datasets and offer personalized recommendations, continuously learning from real human feedback. Applications include automating flight, hotel, and rental car bookings through AI-powered travel management platforms; maintaining compliance with corporate travel policies while minimizing manual effort; simplifying expense management with AI-driven systems; and using predictive analysis to optimize travel plans, reduce expenses, and provide real-time insights to address security threats or health concerns. The article also notes AI vi…

Nov 29Wed
  1. SAP Concur Blog

    SAP Concur Predictions for 2024 in Travel, Expense and Invoice Management

    SAP Concur executives released 2024 predictions for travel, expense and invoice (TEI) management, with artificial intelligence as the connecting thread. Predictions include: virtual payments will simplify reimbursement, with AI quickly validating compliant transactions for near-immediate reimbursement; generative AI may be used for budgeting and predictive analytics; cost-cutting measures may increase tension between corporate travel policies and employee expectations; and accelerated NDC adoption, combined with reduced supplier payments to TMCs, may drive TMC consolidation.

Oct 23Mon
  1. SAP Concur Blog

    SAP Concur Research: Nine in 10 CFOs Say Preparing for the Unexpected Is Their Key Task

    SAP Concur research shows nine in 10 CFOs agree their key task today is preparing the business for the unexpected. The upcoming CFO Insights Report: A New Role in Managing Uncertainty examines how growing uncertainty has pushed CFOs toward forecasting and risk management, covering investments in analytics and AI, sustainability reporting pressure, mid-size organization challenges, and the evolving CFO relationship with C-suite peers such as CHROs.

Sep 7Wed
Jun 29Wed
  1. SAP Concur Blog

    How Traveler Data Shapes the Traveler Experience

    A SAP Concur blog post discusses how traveler data can be used to improve the travel experience. It notes that traveler data is a subset of big data and can be used for predictive analytics and proactive profile building, reducing traveler friction, enhancing the reservation process, and streamlining operations. By better managing traveler data, organizations can build more detailed profiles and provide personalized service.

  2. SAP Concur Blog

    Putting AI to Work in New Ways

    This SAP Concur blog explores AI applications in travel and expense management. AI analyzes data, provides insights, automates processes, reduces errors, and enables predictive analytics. For example, AI can detect fraud patterns and optimize budget negotiations. IDC predicts AI-powered enterprises will see 100% increase in knowledge worker productivity by 2025. SAP Concur invests in AI to help customers improve efficiency.

  3. SAP Concur Blog

    SAP Concur Releases 2018 and Beyond Business Travel, Expense and Invoice Predictions

    SAP Concur experts released predictions for business travel, expense and invoice trends in 2018 and beyond. Predictions include: paper receipts becoming obsolete as e-receipts standardize and countries such as France, Spain, China and Japan deregulate paper receipt requirements; non-traditional payment technologies like blockchain and vCards changing transactions and reimbursements; cloud technology enabling small businesses to adopt enterprise tools faster; predictive analytics and personalization transforming business travel; duty of care remaining a C-level priority; and employee-initiated spend becoming the largest unmanaged spend category.

  4. SAP Concur Blog

    SAP Concur and IDC: Five Stages of T&E Management Maturity

    An IDC study commissioned by SAP Concur identifies five stages of travel and expense management (TEM) maturity: paper-based reporting, automated processes, purpose-built mobile/cloud apps, platform ecosystem, and intelligent/predictive processes. IDC says less-mature TEM processes become a mounting source of lost productivity and revenue and increased employee dissatisfaction as companies expand. Greater maturity brings returns in productivity, support time, travel costs, and risk.