REAL ESTATE
Increase customer traction and manage your operations efficiently by leveraging Intelligent Automation
Intelligent Automation for Real-Estate
Datamatics Intelligent Automation Platform is cloud-ready and highly scalable and addresses a gamut of business requirements of Real Estate players, from automated bank reconciliation, raw stock inventory management, vendor onboarding, contract management, vendor/supplier portal management, property portals for public visibility, to CFO back office automation. Increase customer traction while efficiently managing your operations by leveraging Intelligent Automation.
Automation Use Cases for Real-Estate
Auto-reconcile the collection data obtained from the agent and the bank statement. Expedite the mismatch weeding and send auto-notifications to the agent.
Auto-retrieve the report from the portal for pending rent as per pre-defined business rules. Set up an automated mechanism to check the rent payments pending for the upcoming month, flag out records, and send auto-reminders to the respective agents to collect the rent amount.
Log in to the invoice system to retrieve the list of invoices pending for more than a stipulated time (say 6 months). Depending on the invoice type (customer/ non-customer), write the standard comments in the CRM against the invoice details. Adjust the invoice items as per business rules and save the record.
On daily basis, retrieve the list of the vacant properties from the business system and update the data in the multiple real estate search websites to gain high visibility.
On daily basis, get the list of the sold-out/rented properties from the business system and update the data in the multiple websites to offer high visibility of the properties to the business and to the outside world.
Log in to the inventory account system and execute the query which provides the results where the waitlist is available but the inventory is not available. Synchronize the data between the inventory account system and the CRM.
At a pre-defined frequency, auto-update the vendor information received in an offline mode and maintained in the Excel file.
Auto-update failed records from a batch upload process in the CRM system. Update the status and data of the failed orders, by logging in the CRM system, and updating various fields and the status of the orders based on the report type and pre-defined business rules.
Expedite the on-boarding of new suppliers. The bot reads the new supplier list maintained and pre-validated in Excel. It then transfers the data in the supplier management system.
Add new properties in the listing by reading the data from the excel sheet in the business system.
Automate the know-your-customer process. Ingest data from the federally sanctioned documents, verify the data, and integrate it synchronously with your core systems.
Bring unstructured/free-text data into the purview of automation. Ingest data from complex and lengthy documents, and convert to a structured format that easily integrates with the Enterprise Content Management or Contract Management Systems.
Download each new joining employee documents, extract the data and verify it with the federal databases and improve the onboarding speed by 20x. Institutionalize end-to-end automation for the background verification process.
Use a template-free approach to ingest unstructured data from different types of invoices, convert it into a structured format, and integrate it with the ERP system for further processing.
Ingest the data from hand-written employee onboarding forms and documents and integrate it with the downstream systems.
Automate the process of ingesting the data received with a supplies batch and integrate it in the Inventory Management /ERP system.
Intelligent Automation is a direct function of People-Process-Technology integration.
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99.8% Accuracy Improved after implementation of our IA solution, to receive invoices, perform invoice imaging, ingest, auto-extract, auto-classify, and validate data.
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Intelligent Automation expedites processes across a wide spectrum by following an integrated approach across standalone siloes.
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