logo
#

Latest news with #JLLFalcon

AI Unlocks Untapped Value in Real Estate Operations
AI Unlocks Untapped Value in Real Estate Operations

Arabian Post

time6 days ago

  • Business
  • Arabian Post

AI Unlocks Untapped Value in Real Estate Operations

Commercial real estate operators are pivoting beyond traditional boardroom focuses to harness AI-driven insights from their facility and lease management data to boost profitability and operational performance. JLL's latest research finds that nine out of ten companies plan to deploy AI tools over the next five years to aid human experts in commercial real estate decision‑making. JLL's Global Future of Work survey, conducted among more than 2,300 CRE decision‑makers worldwide, highlights a widening gap between enthusiasm and execution. While around 70 percent of executives report having an AI strategy underpinning pilot projects in real estate, only one‑third of managers confirm a coherent roadmap at operational levels. JLL warns that faltering in strategy design now risks pushing organisations into disillusionment as expectations exceed reality. Financial gains are already within reach. JLL cites a global financial‑services client that achieved $120 million in operating‑cost savings through AI‑led space consolidation and lease optimisation. Another tech‑sector entity is working with JLL to map over 100 high‑impact AI applications across its real estate portfolio. ADVERTISEMENT Emerging from JLL's analysis are four critical steps to establish durable AI adoption strategies: 1. Clarifying capabilities, dispelling myths that AI will replace staff, and aligning technology to clearly defined CRE use‑cases 2. Prioritising meaningful applications, such as predictive maintenance, real‑time occupancy forecasting and dynamic energy management 3. Building robust business cases, using data to justify interventions with tangible ROI 4. Securing C‑suite backing, as executive endorsement correlates strongly with success in integrating CRE‑tech. To support these objectives, JLL has introduced its proprietary AI platform, JLL Falcon. The system, which draws upon the company's internal datasets, applies advanced AI models to enable refined portfolio analytics, space optimisation, carbon‑tracking, and compliance monitoring. Further underlining the urgency, JLL predicts that by 2030, up to 70 percent of CRE activities will be augmented by AI tools. Market momentum is fuelled by over 700 PropTech start‑ups creating real‑estate‑focused AI solutions, alongside strategic partnerships between global firms and technology providers such as Microsoft, Amazon and Google. A notable technological milestone: the acquisition of AI‑energy‑management provider HANK, whose output demonstrates up to 40 percent reductions in utility costs through real‑time HVAC adjustments. Others include JLL's Carbon Pathfinder tool for sustainability modelling, and investments in data‑centre optimisation through SKAE's May 2024 acquisition. Industry experts caution that AI adoption in CRE is not simply a tech rollout but a broader challenge of change‑management. As commentator Antony Slumbers notes, many organisations remain early in their digital maturity and lack clarity separating hype from functionality.

JLL unveils AI Property Assistant to boost real estate returns
JLL unveils AI Property Assistant to boost real estate returns

Techday NZ

time04-06-2025

  • Business
  • Techday NZ

JLL unveils AI Property Assistant to boost real estate returns

JLL has introduced JLL Property Assistant, an artificial intelligence solution designed to provide real estate owners with AI-driven recommendations and insights to enhance property performance and financial returns across retail, industrial and office segments. JLL Property Assistant operates using JLL Falcon, an AI platform developed specifically for the real estate industry, and features an interconnected approach by integrating with JLL's data sources and applications. Neil Murray, Chief Executive Officer of Real Estate Management Services at JLL, commented on the new product offering: "JLL Property Assistant will help our clients unlock the true potential of artificial intelligence for the real estate they own. Built on JLL Falcon, the tool provides a unique, interconnected experience that streamlines operations, enhances decision-making, and drives unparalleled value creation. These components--AI, data and best-in-class applications--form the foundation of JLL's property management technology platform, a one-of-a-kind, unified software suite purpose-built to advance the performance and returns of our clients' properties." The AI-powered assistant delivers recommendations for property teams to enhance various elements of building performance, including operational processes and tenant sentiment. It works in concert with Acumen, JLL's business intelligence platform, which compiles data from multiple systems. This includes financial data from accounting solutions like Yardi and MRI, operational details from Prism by Building Engines, as well as additional proptech applications. Property and asset managers interact with JLL Property Assistant using a natural language chat interface, allowing users to pose questions such as, "Which retail assets have the highest vacancy risks in Q3?" or "What does our net operating income (NOI) look like year-to-date?" The solution draws information from JLL's enterprise data warehouse to quickly provide relevant answers. According to details provided, JLL Property Assistant offers a range of potential benefits. These include faster, data-driven decision making through the generation of tenancy reports, auto-generation of stacking plans, analysis of expense trends, and identification of tenant retention and occupancy insights. Operational efficiency may be boosted through features such as reviewing high-priority task statuses, identifying tenant satisfaction matters, and analysing work order trends. The tool also offers insights to support greater profitability and financial health, providing access to operational budget breakdowns, vacancy filling suggestions, and the ability to easily generate finance reports. Security protocols are a key aspect, with JLL Property Assistant adhering to enterprise-grade standards to ensure the protection of client data. At the same time, the system makes use of anonymised global benchmarks sourced from JLL's comprehensive data holdings. Yao Morin, Chief Technology Officer at JLL, said: "Our AI-powered assistant fundamentally transforms the management of property for investors, delivering unprecedented efficiency, data-driven insights, and optimised performance. The tool empowers property managers and owners to focus on strategic initiatives and enhanced property performance, ultimately driving greater value for their portfolios and revolutionising the industry."

JLL unveils AI assistant to boost property portfolio insights
JLL unveils AI assistant to boost property portfolio insights

Techday NZ

time03-06-2025

  • Business
  • Techday NZ

JLL unveils AI assistant to boost property portfolio insights

JLL has introduced a new artificial intelligence solution designed for owners of retail, industrial and office properties. The solution, named JLL Property Assistant, is powered by JLL Falcon and is intended to provide property and asset managers with quicker access to data-driven insights, aiming to enhance the performance of property portfolios. The tool allows users to engage directly with portfolio data using natural language questions, such as "Which retail assets have the highest vacancy risks in Q3?", offering immediate and comprehensive responses. According to JLL, the Property Assistant can generate detailed tenancy reports and stacking plans, as well as analyse expense trends over time. The platform helps reveal important data on tenant retention and occupancy patterns. It also breaks down operational budgets, highlights opportunities for cost control, and offers suggestions to fill vacancies with the aim of maximising rental income. JLL Property Assistant works within a conversational interface and integrates with JLL's Acumen platform, which brings together financial data from systems like Yardi and MRI, operational data from Prism by Building Engines, and other property technology tools. This integration consolidates information into a unified platform, providing property managers with a single source for performance data and reducing the inefficiencies caused by data silos. Neil Murray, Chief Executive Officer of Real Estate Management Services at JLL, said: "JLL Property Assistant will help our clients unlock the true potential of artificial intelligence for the real estate they own. Built on JLL Falcon, the tool provides a unique, interconnected experience that streamlines operations, enhances decision-making, and drives unparalleled value creation. These components - AI, data and best-in-class applications - form the foundation of JLL's property management technology platform, a one-of-a-kind, unified software suite purpose-built to advance the performance and returns of our clients' properties." Users of JLL Property Assistant can ask for portfolio summaries such as net operating income year-to-date, and receive prompt, data-driven answers. The system is designed to let property professionals focus on strategic activities by dramatically reducing the time spent searching for information. The AI assistant's functionality extends to creating comprehensive tenancy reports and stacking plans automatically, tracking and analysing expense patterns, and identifying opportunities through earlier detection of emerging trends in tenant retention and occupancy. This advanced reporting is intended to support a more proactive approach to portfolio management. The operational aspect of the platform includes tools for real-time monitoring of high-priority tasks, identification of possible tenant satisfaction issues, and analysis of maintenance work order trends. These features are designed to reduce operational costs and improve both tenant retention and experience. Financial management is another focus area for the Property Assistant. Through the delivery of detailed operational budget breakdowns and targeted recommendations for cost control, the solution aims to streamline finance reporting, freeing up managers to focus on value-adding activities. The tool also provides data-driven suggestions for filling vacancies in order to increase rental income. Yao Morin, Chief Technology Officer at JLL, commented: "Our AI-powered assistant fundamentally transforms the management of property for investors, delivering unprecedented efficiency, data-driven insights, and optimised performance. The tool empowers property managers and owners to focus on strategic initiatives and enhanced property performance, ultimately driving greater value for their portfolios and revolutionising the industry." JLL has stated that security and privacy were key priorities in the development of the platform. JLL Property Assistant uses enterprise-grade security protocols and applies anonymised global benchmarks for industry analysis. This is intended to ensure the protection of client data while still permitting comparative analytics across the sector.

JLL's New Property Assistant Empowers Clients With Valuable Insights
JLL's New Property Assistant Empowers Clients With Valuable Insights

Yahoo

time30-05-2025

  • Business
  • Yahoo

JLL's New Property Assistant Empowers Clients With Valuable Insights

Jones Lang LaSalle JLL recently announced the launch of a new Artificial Intelligence (AI) solution, JLL Property Assistant, for its clients to provide a unique and interconnected experience to streamline operations, enhance decision-making and drive unparalleled value creation. Built on JLL Falcon, the industry's first comprehensive AI platform, JLL Property Assistant will empower real estate owners of retail, office and industrial properties with valuable insights and AI-powered recommendations to optimize property performance. Working in combination with Acumen, JLL's property and business intelligence platform that integrates financial data from accounting applications like Yardi and MRI, operational data from Prism by Building Engines and other critical proptech functions, JLL Property Assistant will offer a bouquet of solutions to real estate owners, helping them in analyzing their performance, ranging from operations to tenant sentiment and improving the same. Faster Decision Making– It will provide all the data related to tenancy reports and stacking plans, analyze trends in expense and offer insights on tenant retention and occupancy. Operational Efficiency Enhancement– It will review the status of high-priority tasks , identify issues in tenant satisfaction and analyze trends in work order. Improved Profitability and Financial Health - It will access breakdowns of operational budget, receive suggestions for vacancy filling and generate reports of finance. In order to ensure client data protection, JLL Property Assistant adheres to enterprise-grade security protocols and leverages JLL's anonymized global benchmarks. Per Neil Murray, CEO of Real Estate Management Services, JLL, 'These components--AI, data and best-in-class applications--form the foundation of JLL's property management technology platform, a one-of-a-kind, unified software suite purpose-built to advance the performance and returns of our clients' properties.' JLL's data-driven and experiential technology platform is leading to increased client engagements, which is encouraging. The company's recently launched AI solution will aid in delivering faster and smarter insights to its clients, thereby improving the performance of their assets. However, macroeconomic uncertainties and geopolitical tension are expected to weigh on its performance in the near term. Over the past three months, shares of this Zacks Rank #3 (Hold) company have lost 17.6% compared with the industry's decline of 0.8%. Image Source: Zacks Investment Research Some better-ranked stocks from the broader real estate industry are Ferrovial SE FER and Berkeley Group BKGFY. Ferrovial SE sports a Zacks Rank #1 (Strong Buy) at present. The Zacks Consensus Estimate for FER's 2025 earnings per share has been raised 11.2% to 99 cents over the past two months. You can see the complete list of today's Zacks #1 Rank stocks here. The Zacks Consensus Estimate for BKGFY's ongoing year's earnings per share has been revised northward marginally to 80 cents over the past two months. BKGFY currently carries a Zacks Rank #2 (Buy). Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Jones Lang LaSalle Incorporated (JLL) : Free Stock Analysis Report Berkeley Group Holdings PLC Unsponsored ADR (BKGFY) : Free Stock Analysis Report Ferrovial SE (FER) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

JLL launches Property Assistant AI solution for real estate owners
JLL launches Property Assistant AI solution for real estate owners

Business Insider

time29-05-2025

  • Business
  • Business Insider

JLL launches Property Assistant AI solution for real estate owners

JLL (JLL) announced JLL Property Assistant, an artificial intelligence assistant designed for real estate owners spanning retail, industrial, and office properties. Leveraging the power of JLL Falcon, its AI platform, JLL Property Assistant offers actionable insights and AI-derived recommendations to optimize property performance. The tool works with Acumen, JLL's property and business intelligence platform, and is designed to deliver AI-powered recommendations for improving performance in areas from operations to tenant sentiment. Confident Investing Starts Here:

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store