RS-11 is a web-based platform that serves the community of Small and Medium Business Owners by being their go-to platform for knowing the valuation of their business, a marketplace for buy-sell listings, and serving as their Business Process Co-Pilot (BPC) for a large variety of their day to day needs of marketing, contracting and supporting their daily business operations.The BPC has been developed using advanced Gen-AI capabilities through a custom LLM, which delivers a wide variety of functionality through a simple, intuitive yet powerful chat-based interface designed to serve millions of SMBs.

From feasibility studies and planning to implementation and monitoring, we'll guide you through every step of your renewable energy project. Our expert team will ensure seamless execution and maximize the efficiency and effectiveness of your renewable energy initiatives.

Challenge

‍Takeda Pharmaceutical, ranked as the 23rd largest globally, faced the time-consuming challenge of manually verifying lab test results for each batch against standard specifications. This critical yet manual process was prone to human errors and was an inefficient use of their scientists' and engineers' valuable time.

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‍Solution

‍Business Process Co-Pilot™: an innovative solution leveraging Natural Language Processing (NLP) for automated data extraction, comparison, and analysis directly from documents. This cutting-edge technology ensured 100% accuracy in test report verification, a feat previously unattainable with manual processesThe impact was immediate and significant—scientists and engineers at Takeda were now free to focus on more strategic tasks, confident in the knowledge that the verification process was error-free. Moreover, with the algorithm being pre-trained on documents, the Business Process Co-Pilot™ was fully operational from day one.

A global dental surgical implements manufacturing company headquartered in Europe, wanted to automate the preparation of FDA's 510(k) regulatory forms. Form 510(k) preparation is necessary for launching any new device or implementing changes to an existing one. Form preparation tends to be tedious, expensive, and time-consuming. We have developed a BPC solution tailored for 510(k) form filling and submission. Our technology streamlines data entry, validation, and submission processes ensuring accuracy and compliance with FDA requirements.

Automated creation of Comprehensive Annual Review and Revolving Credit Report

‍A Fortune 500 bank that provides credit to large enterprises worldwide. The bank used external consultants to manually create Comprehensive Annual Reviews (CAR) and Quarterly Credit Reports for thousands of enterprises. Using Findability Sciences Business Process Co-Pilot, information was extracted from 10-K/10-Q-reports, Revolving-Credit Applications and the Web. Analyst commentary was generated with a custom-trained LLM.BPC is saving the bank thousands of hours of report preparation effort by automating report generation and eliminating all human errors.

Governance, risk management and compliance (GRC) is the term covering an organization's approach across these three practices: governance, risk management, and compliance. The first scholarly research on GRC was published in 2007 where GRC was formally defined as "the integrated collection of capabilities that enable an organization to reliably achieve objectives, address uncertainty and act with integrity."

RS-11 is a web-based platform that serves the community of Small and Medium Business Owners by being their go-to platform for knowing the valuation of their business, a marketplace for buy-sell listings, and serving as their Business Process Co-Pilot (BPC) for a large variety of their day to day needs of marketing, contracting and supporting their daily business operations.

Propensity predictions indicate the likelihood of an individual to perform a defined action (buy, buy again, churn, etc.), which enable businesses to grow and retain revenue by engaging with the right customers, leads, or audiences at the right time. To get accurate propensity predictions, you need a good propensity model.

Forecasting of 8 real estate parameters for 24 months with over 90% accuracy

‍The biggest challenge for a real estate asset management company in the US was forecasting market conditions for investment and divestiture decisions. By forecasting rent, occupancy, and value with over 90% accuracy for 24 months, the company was able to use the forecasts for making financial and investment decisions. Additionally, an economic downturn forecast was conducted to determine the probability of a recession in 6 months, 12 months, and 24 months with 94% accuracy.

A Top 5 retailer requires digital analytics for 4000 feature releases annually

‍Their analysts would require 8 weeks to provide analytics on the impact created by a website feature release. These were manually computed, based on just a differential between impressions and conversions. The FS incrementality computation included seasonality, attribution, and statistical significance. Business users could gain instant insights through a conversational interface. Additionally, forecasts were generated with a 22% uplift compared to internal accuracies for all product conversions to detect anomalies after a release.

Challenge

A top-tier microelectronics component manufacturer aimed to refine SKU-level pricing strategies for trade sales. Their existing price prediction algorithm was plagued by bugs, leading to extended processing times. The goal was to suggest price points that enhance the chances of winning transactions, thereby maximizing revenue without sacrificing profit margins.

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Solution

Findability Sciences deployed its machine learning technology to analyze historical data on revenue, quantities, price points, deal success rates, and forecasted demand. This enabled the recommendation of optimal price points for each SKU.

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Challenge

A premier HVAC solutions provider in North America aimed to refine inventory planning and enhance sales predictions across more than 360 locations. The complexity was heightened by a diverse product range exceeding 6,600 SKUs, where stock-outs were leading to elevated warehousing and holding expenses. ‍

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Solution

To address this challenge, a specialized forecasting solution was engineered, leveraging both machine learning and deep learning algorithms. These techniques were combined in an ensemble approach to achieve superior accuracy over traditional time-series forecasting methods, offering a strategic advantage in inventory management and sales forecasting.

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