Abstract: A system and method for automating procurement workflows through a dynamic library of AI-powered procurement agents, each designed to handle specific tasks within the procurement process. The system allows users to define procurement use cases, after which it automatically selects, sequences, and executes relevant agents to carry out tasks such as supplier selection, risk assessment, negotiation, contract creation, and signing. The intelligent agents work autonomously, optimizing procurement costs, reducing human intervention, and minimizing errors. Additionally, the system learns from past transactions to continually improve its performance. By supporting customizable workflows and integrating digital contract execution, the invention enables fully automated, efficient, and secure procurement cycles. The solution enhances decision-making through AI-driven optimization, providing organizations with a scalable and cost-effective approach to procurement.

Abstract: A system and method for a flexible agentic autonomous negotiation process that orchestrates procurement negotiation workflow by leveraging procurement agents that continuously assess supplier behaviour, market trends, and historical data. The system comprises an input unit, a processing unit and an output unit wherein the processing unit employs the workflow for assisting procurement related negotiation by procurement agents.

Abstract: A computer implemented method to identify and extract tables from semi structured documents with training mechanism and machine learning models, both in online and offline mode. The method comprises the steps of: extracting all relevant label-value pairs in said semi-structured document, computing dynamic split constants between the labels and values, merging all the identified labels and values to form lines by chaining, identifying cells based on moving average based split identification, generating cell mask and line mask based on the datatype pattern, grouping line masks in cluster lines based on the clustering pattern and grouping parameters, identifying child lines and merging them with the main line, identifying and mapping potential header line amongst the identified line masks in homogenous and non-homogenous table structure and grouping the clustered lines with the nearest header line to identify the table in the semi-structured document.

Abstract: A computer implemented method to identify and extract tables from semi-structured documents without any dependency on training mechanism, both in online and offline mode. The method comprises the steps of: extracting all relevant label-value pairs in said semi-structured document, computing dynamic split constants between the labels and values, merging all the identified labels and values to form lines by chaining, identifying cells based on moving average based split identification, generating cell mask and line mask based on the datatype pattern, grouping line masks in cluster lines based on the clustering pattern and grouping parameters, identifying child lines and merging them with the main line, identifying and mapping potential header line amongst the identified line masks in homogenous and non-homogenous table structure and grouping the clustered lines with the nearest header line to identify the table in the semi-structured document.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus for wireless communication of a user equipment (UE) is provided. The apparatus may obtain one or more metrics associated with one or more usage parameters of a subscriber identity module (SIM) of the UE. The apparatus may determine whether the SIM is primarily used for data, based on the one or more metrics. The apparatus may configure the SIM to be data centric based on determining that the SIM is primarily used for data.

Abstract: An invoice payment system involving smart electronic means which is enabled to read, reply, segregate, de-duplicate and appropriately mark undisputed emails with genuine payable invoice for payment; wherein the “payment query” emails are resolved by generating automated replies based on email content; and wherein the emails for payment marked “add invoice” include the steps of: (i) identification and classification of received emails; (ii) eradicating duplicate invoices; (iii) checking dispute if any with associated invoice or supplier; and (iv) if all checks are appropriate, then flagging the email with a green mark for further processing of the invoice by the smart electronic means.

Abstract: A method of extracting meta-data from semi structured documents, by using area and cone orientation as relevance between words/phrases is described. It also a computer implemented system to handle OCR errors with respect to the coordinates interpreted for each word and user corrections both in online and offline mode. The method is carried out by the steps as follows: converting scanned or digital document to a readable format with coordinates using OCR; scanning the coordinates obtained through OCR for each character; marking all potential labels and values with a bounding box; searching for relevant labels for the particular value by using default control parameters and adjusting trainable parameters; mapping a cone region for the labels and values using the upper and lower angles along x-axis and the scope box and formulating the score area to get the confidence percentage which is used as measure to extract all relevant label-value pairs.

Abstract: A system and method for aggregation of procurement requisitions including tiered pricing module is described in the present invention. The computer implemented system aggregates the approved procurement requisitions in real time from different business departments. They are then kept in a gestation period for channelizing the aggregated quantity of the aggregated requisitions into one common purchase order to avail bulk discounts or to avail tiered pricing discounts from the supplier. Once the aggregation of requisitions is done, accordingly based on the decision rules, the tiered pricing catalogue is triggered to select the right catalogue and the quantity/volume and its related price. If the aggregated requisitions do not match the tiered pricing catalogue then the system directs the user to negotiate discount with the supplier for the requisitions. The user thus avails maximum discounts on the aggregated requisitions.

Abstract: A method of extracting meta-data from semi structured documents, by using area and cone orientation as relevance between words/phrases is described. It also a computer implemented system to handle OCR errors with respect to the coordinates interpreted for each word and user corrections both in online and offline mode. The method is carried out by the steps as follows: converting scanned or digital document to a readable format with coordinates using OCR; scanning the coordinates obtained through OCR for each character; marking all potential labels and values with a bounding box; searching for relevant labels for the particular value by using default control parameters and adjusting trainable parameters; mapping a cone region for the labels and values using the upper and lower angles along x-axis and the scope box and formulating the score area to get the confidence percentage which is used as measure to extract all relevant label-value pairs.

Abstract: A continuous process for the biological solubilization of heavy metals from primary or other metal-laden sewage that utilizes indigenous sulphur oxidizing bacteria and elemental sulphur as the energy source, prevents nitrite formation and minimizes the residual sulphur remaining in the processed biosolids.