Micro-Zoning, RR proposal: A reform opportunity

Mumbai: The government’s proposed introduction of micro-zoning and differentiated Ready Reckoner (RR) rates marks a significant shift in the way property valuations are determined across the state. The initiative, which seeks to assign distinct RR rates to high-rise buildings, slums, chawls and redeveloped properties within the same locality, has largely been welcomed by the real estate sector. Industry stakeholders, however, caution that the reform’s effectiveness will depend less on its...

min read

Micro-Zoning, RR proposal: A reform opportunity

Mumbai: The government’s proposed introduction of micro-zoning and differentiated Ready Reckoner (RR) rates marks a significant shift in the way property valuations are determined across the state. The initiative, which seeks to assign distinct RR rates to high-rise buildings, slums, chawls and redeveloped properties within the same locality, has largely been welcomed by the real estate sector. Industry stakeholders, however, caution that the reform’s effectiveness will depend less on its intent and more on the framework governing its implementation. The proposal comes at a time when property markets in major urban centres, particularly Mumbai Metropolitan Region (MMR), are witnessing increasingly diverse development patterns within the same neighbourhoods. Experts argue that uniform RR rates often fail to capture the substantial variations in infrastructure quality, redevelopment status, accessibility and market demand that exist even within small geographical pockets. Real estate professionals believe that a micro-zoning approach could help bridge the gap between official property valuations and actual market realities. More accurate valuation mechanisms can improve transparency in transactions, provide a fairer basis for stamp duty calculations and create a more nuanced framework for urban planning. Experts’ Comments Kamlesh Thakur, President, NAREDCO Maharashtra and Co-Founder & Managing Director, Srishti Group, believes the concept has merit but warns that the execution framework will determine whether the reform succeeds or creates fresh challenges. “The concept of micro-zoning and differentiated Ready Reckoner rates has the potential to make property valuation more reflective of local market realities and development potential. However, its success will depend entirely on the framework adopted for implementation. Unless there is a clear, transparent and objective policy with well-defined parameters, the introduction of micro-zoning could lead to increased discretion at the administrative level, resulting in uncertainty and inconsistent outcomes,” he said. According to Thakur, valuation systems that allow excessive room for subjective interpretation can generate disputes, create inconsistencies in assessments and undermine business confidence. His concerns reflect a broader industry apprehension that redevelopment projects—already burdened by lengthy approval processes and rising costs—could face additional uncertainty if valuation criteria vary across administrative jurisdictions. Kaushal Agarwal, Chairman, The Guardians Real Estate Advisory, views the proposal as a logical evolution of property valuation practices, particularly in rapidly transforming urban markets. “The move towards differentiated Ready Reckoner rates through micro-zoning is a progressive step, as property values can vary significantly within the same locality depending on factors such as infrastructure, accessibility, building quality and surrounding development. If implemented effectively, it has the potential to make property valuations more realistic and aligned with actual market dynamics,” he said. Transparency, Methodology At the same time, Agarwal emphasized that transparency and data quality will be critical to ensuring credibility. “However, the success of this initiative will depend on the transparency of the methodology, the quality of data used, and the consistency of its application across micro-markets. Buyers, investors, and developers value clarity and predictability in valuation mechanisms. A well-defined and publicly accessible framework will be essential to avoid ambiguity, strengthen market confidence, and ensure that the new system delivers greater accuracy without creating uncertainty in transaction pricing or investment decisions,” he noted. Uniformly Implemented Echoing similar concerns, Dhruman Shah, Promoter, Ariha Group, said the government must ensure that the system remains easy to understand and uniformly implemented. “The move towards micro-zoning reflects an effort to modernize property valuation and make it more representative of actual market conditions. However, it is important that the system remains simple, transparent and uniformly enforced across regions. If multiple layers of interpretation emerge during implementation, it could lead to disputes and delays, particularly for redevelopment projects that already involve complex approval processes. Industry consultation at every stage will help create a practical and effective framework,” Shah said. As the state explores one of the most significant changes to its property valuation mechanism in recent years, the industry appears broadly supportive of the objective. Yet the consensus remains clear: the success of micro-zoning will depend on transparency, consistency and stakeholder consultation. Without these safeguards, a reform intended to improve valuation accuracy could inadvertently introduce new layers of uncertainty into an already complex real estate ecosystem.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.

Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.

Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.

Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.

Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.

AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.

(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)