Real-time Location Services are changing processes and procedures in yards, hospitals, warehouses, factories and any facilities in which location determination and tracking in real-time is crucial. RTLS applications support operational areas for logistics and other services, to combine identity and location of any type of items or objects, allowing for efficient location procedures through automatic determination/tracking with the click of a mouse button.
This report provides analysis, case study assessment and evaluation of the following:
Indoor RTLS and key players
RFID tag types and their applications
Current and next generation applications
Protocols, standards, and technical details of RTLS
Regulatory mandates regarding RFID focusing on RTLS
Different RTLS technology approaches: GPS, WiFi, RFID
Real-life implementation analysis with example case studies
Importance of RTLS for large scale Tracking and Management
How the RFID industry has grown and penetrated into daily life
GPS based Tracking w/o Active RFID and Implementation of the system
RTLS in various verticals including Healthcare, Yard/Port, Inventory, and more
The report also addresses challenges and opportunities in deploying/operating RTLS including available solutions and the methodologies.
Venture capitalists, private equity firms, and startup companies
RTLS and RFID hardware, software, and solution vendors and related professional services companies
Managed RTLS service providers, outsourced RFID solutions and RTLS application providers, and RFID service bureau operators
Healthcare management personnel responsible for tracking patients, staff personnel, equipment, inventory, and other critical resources
Companies interested in optimizing their RFID business process strategies for tracking and telemetry with a special focus on large scale tracking.
Retailers and personnel responsible for merchandise inventory and ordering processes, Customer Relationship Management (CRM), Merchandise tracking and fraud prevention
Personnel responsible for automating Supply Chain Management (SCM), Customer Relationship Management (CRM), Manufacturing Resource Planning (MRP), Enterprise Resource Planning (ERP), Inventory Tracking, Fleet Management, Yard/Dock Management and other business processes
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.