—
Since its inception, the industrials sector has built the modern world one engineered material and piece of machinery at a time. From construction in real estate to security in the defense sector, industrial goods companies play a critical role in the forward momentum of all global industries. In a field where every measurement counts, Sriya.AI has centered itself as a clear solution for enhancing business operations for industrials companies in every niche. Whether a company provides aerospace solutions or streamlines production for automotive products, or refines crude oil to gasoline, a revolutionary approach to AI algorithms can increase output and quality while mitigating common risks.
Few industries offer as much competition as industrials, which requires all players to continue to impress customers in order to receive ongoing contracts. The constant competition means that industrials groups are heavily dependent upon advancement, urging them to improve productivity and lower costs while maintaining or increasing the overall level of quality over time. Other relevant components, like better defining and understanding preventative maintenance needs, require constant consideration as well. While some enhancements may seem obvious, empowered innovations on an individual level can only be achieved through company-specific data and analytics. Leading industrial goods companies can use dedicated artificial intelligence solutions to gain actionable insights that encourage better products and numerically proven improvements to maintain current contracts with customers while securing new ones.
The industrial goods market has been driven by data for years already, but a new understanding of data can offer improved business outcomes on every level. “Our methodology scores all variables to create a single Super Feature (SF),” explains Srinivas Kilambi, Sriya.AI founder and CEO, referencing the power of the AI Square algorithm. “We then take the SF and correlate it with core business outcomes, allowing us to identify patterns and improve business outcomes by nearly double their current standing.” Informed with insights that are specific to company operations, key decision-makers can use the available information to enhance products and operations on an individual level, as well as company-wide.
To increase productivity and quality, Sriya.AI utilizes internal data from industrials groups themselves. Offering support for data sets of all sizes, this artificial intelligence solution learns from itself, providing increasing value over time and allowing companies to trend in a positive direction year-over-year. The value is present whether a business is brand new or has been in the industry for a long time and has years of data to reference. Sriya.AI’s product-to-profits (P2P) solutions can help companies maximize product lifecycle for greater quality control, operational efficiency, and sustainability. These benefits lead to increases in orders, with initial gains as high as 20% from these changes alone. Pairing this with order-to-cash (O2C) improvements, order completions can increase by over 60% early on. The benefits of these solutions are demonstrated by the numbers, highlighting the very real return on investment (ROI) these insights can bring.
Groups in the industrial goods market need high-impact solutions to continue to increase sales and grow market share. Enhancing internal operations and product solutions are the most relevant areas of focus, and data-driven improvements can be the difference between securing a contract or losing it to a competitor. Customers consider several key metrics when defining value and making these decisions, and the most adept way to win a numbers game is to improve the business understanding of numbers.
With traditional AI solutions being centered around large language models (LLMs), the quality of numerical analysis is surprisingly low. Alphanumeric approaches to data create unnecessary complexities, reducing the overall effectiveness of these systems and creating an hallucination effect (glorified term for gross errors) which could become disastrous and sometimes even fatal . Sriya.AI’s AI Square algorithm introduces large numerical models (LNMs), which are specifically designed to quantify data with over 99% accuracy and precision, offering proven insights that support production from design to implementation.
Technology enhancements have been the core source of improvements in the industrials market since it emerged, and utilizing the analytic capabilities of artificial intelligence is an obvious next step for the industry. With dedicated insights based on internal data, Sriya.AI helps industrials groups identify process enhancements that drive positive change and provide clearly defined benefits for current and potential customers. With insights powered by the AI Square algorithm, continuous compounded over time gains are achievable and quantifiable. The improvements these changes bring don’t just benefit companies and their customers–they benefit the members of the public who interact with these products every single day.
Contact Info:
Name: Srinvas Kilambi
Email: Send Email
Organization: Sriya.ai
Website: https://sriya.ai
Release ID: 89129101
Google
RSS