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LogisticsManufacturingFintech & BankingRetail & CPGHealthcare

Use Cases

logistics

Logistics

01.
Bill of Lading processing

Current State:
Manually processing Bills of Lading is labor-intensive and prone to errors, leading to inefficiencies in the logistics workflow.
Future Opportunity:
Automate the extraction and processing of data from Bills of Lading to improve operational efficiency.
Benefits:

Reduce processing time, increase data accuracy, and improve cargo handling efficiency.

Minimize errors, increase trust with partners and customers.

Optimize the use of resources.

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02.
Delivery Note verification automation

Current State:
Manual verification of delivery notes can lead to inaccuracies and delays, impacting customer satisfaction and operational efficiency.
Future Opportunity:
Automate the verification process of delivery notes to improve accuracy and speed.
Benefits:

Ensure accurate delivery data, reduce processing time, and improve customer satisfaction.

Minimize manual errors and enhance trust with customers.

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03.
Fast and error-free customs documentation verification and declaration

Current State:
Manual handling of customs documents can be time-consuming and error-prone, leading to delays and potential regulatory issues
Future Opportunity:
Automate the verification and declaration process of customs documents to enhance compliance and efficiency.
Benefits:

Ensure accurate delivery data, reduce processing time, and improve customer satisfaction.

Minimize manual errors and enhance trust with customers.

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04.
Freight audit and payments automation

Current State:
Manual auditing and payment of freight invoices are laborious and susceptible to inaccuracies, leading to financial discrepancies and operational inefficiencies.
Future Opportunity:
Automate the auditing and payment processes of freight invoices to increase financial accuracy and operational efficiency.
Benefits:

Improve financial accuracy, reduce processing time, and optimize freight costs.

Eliminate manual errors, enhance trust with freight partners.

Reduce overhead costs associated with manual invoice processing.

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logistics

Manufacturing

01.
Automating Purchase Order processing

Current State:
Manual processing of purchase orders is time-consuming and prone to errors, impacting operational efficiency and vendor relationships
Future Opportunity:
Automate the extraction and processing of data from purchase orders to increase operational efficiency.
Benefits:

Reduce processing time, improve data accuracy, and streamline procurement operations.

Minimize errors, increase trust with vendors.

Enable more effective resource allocation.

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02.
Inventory management automation

Current State:
Manual handling of inventory data can lead to inaccuracies and inefficiencies, impacting production planning and customer satisfaction
Future Opportunity:
Automate the extraction and analysis of inventory data to improve inventory management accuracy and efficiency
Benefits:

Ensure accurate inventory data, reduce discrepancies, and improve customer satisfaction.

Minimize manual errors, enhance production planning.

Reduce inventory holding and shortage costs.

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03.
Quality assurance documentation data analysis

Current State:
Manual analysis of QA documents is laborious and error-prone, impacting product quality and compliance
Future Opportunity:
Automate the extraction and analysis of data from QA documents to enhance product quality and compliance
Benefits:

Improve product quality, ensure regulatory compliance, and enhance customer trust.

Eliminate manual errors, increase efficiency in QA processes, and streamline compliance reporting.

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04.
Optimizing Supply Chain Visibility

Current State:
Limited visibility into the supply chain leads to inefficiencies and difficulties in decision-making.
Future Opportunity:
Automate the extraction and analysis of supply chain data to increase visibility and inform decision-making
Benefits:

Improve supply chain visibility, enable smarter decision-making, and enhance operational efficiency.

Minimize inefficiencies, reduce risks and costs, and improve partner and customer relationships.

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logistics

Fintech & Banking

01.
Automating customer onboarding and application processing

Current State:
Manual processing of customer applications and onboarding are time-consuming and prone to errors, impacting customer experience and operational efficiency
Future Opportunity:
Automate the extraction and processing of data and documents from customer applications to decrease application processing time, to improve operational efficiency and customer experience.
Benefits:

Reduce onboarding time, improve data accuracy, and enhance customer satisfaction.

Minimize errors, increase trust with customers, and optimize resource allocation.

Increase clients' number.

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02.
Enhancing customer service through automation

Current State:
Manual handling of customer service requests can lead to slower response times and potential errors, impacting customer satisfaction.
Future Opportunity:
Automate the extraction and processing of data from customer service requests to improve response times and accuracy.
Benefits:

Ensure timely and accurate responses, improve customer satisfaction, and streamline customer service operations.

Minimize manual errors and enhance trust with customers.

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03.
Automating missing data requests

Current State:
Manual handling of missing data requests can be time-consuming and error-prone, leading to delays and potential regulatory issues.
Future Opportunity:
Automate the process of identifying and requesting missing data to enhance efficiency and compliance.
Benefits:

Reduce processing time, ensure regulatory compliance, and avoid penalties.

Eliminate manual errors, increase trust with regulatory bodies, and streamline operations.

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04.
Regulatory Compliance and KYC automation

Current State:
Manual KYC and compliance processes are labor-intensive and susceptible to inaccuracies, leading to potential regulatory breaches.
Future Opportunity:
Automate the KYC and compliance processes to increase efficiency and regulatory adherence.
Benefits:

Improve regulatory compliance, reduce processing time, and enhance customer onboarding.

Eliminate manual errors, enhance trust with regulators, and avoid potential penalties.

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logistics

Retail & CPG

01.
Automating invoice processing

Current State:
Manual processing of invoices is time-consuming and prone to errors, impacting financial accuracy and vendor relationships.
Future Opportunity:
Automate the extraction and processing of data from invoices to enhance operational efficiency.
Benefits:

Reduce processing time, improve data accuracy, and streamline financial operations.

Minimize errors, increase trust with vendors, and optimize resource allocation.

Show case

02.
Inventory management automation

Current State:
Manual handling of inventory data can lead to inaccuracies and inefficiencies, affecting sales and customer satisfaction.
Future Opportunity:
Automate the extraction and analysis of inventory data to improve inventory management accuracy and efficiency.
Benefits:

Ensure accurate inventory data, reduce discrepancies, and improve customer satisfaction.

Minimize manual errors, optimize stock levels.

Reduce inventory holding and shortage costs.

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03.
Returns and refunds verification and automation

Current State:
Anual verification and processing of returns and refunds can be laborious and error-prone, impacting customer satisfaction.
Future Opportunity:
Automate the verification and processing of returns and refunds to enhance efficiency and customer satisfaction.
Benefits:

Improve accuracy of returns and refunds, reduce processing time, and enhance customer trust.

Eliminate manual errors, streamline return processes, and reduce associated costs.

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04.
Purchase order management automation

Current State:
Manual processing of purchase orders can lead to inaccuracies and delays, impacting operational efficiency and vendor relationships
Future Opportunity:
Automate the extraction and processing of data from purchase orders to increase operational efficiency.
Benefits:

Reduce processing time, improve data accuracy, and streamline procurement operations.

Minimize errors, increase trust with vendors, and optimize resource allocation.

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logistics

Healthcare

01.
Automating patient records processing

Current State:
Manual management of patient records is labor-intensive and susceptible to errors, impacting patient care and operational efficiency.
Future Opportunity:
Automate the extraction and processing of data from patient records to enhance operational efficiency and patient care.
Benefits:

Reduce processing time, improve data accuracy, and streamline patient record management.

Minimize errors, increase trust with patients, and enhance patient care.

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02.
Patient onboarding process acceleration

Current State:
Manual onboarding of patients can be time-consuming and prone to errors, impacting patient experience and operational efficiency.
Future Opportunity:
Automate the extraction and processing of data during patient onboarding to improve efficiency and patient experience.
Benefits:

Reduce onboarding time, improve data accuracy, and enhance patient satisfaction.

Minimize errors, increase trust with patients, and optimize resource allocation.

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03.
Regulatory compliance control

Current State:
Anual handling of compliance processes can lead to inaccuracies and potential regulatory breaches.
Future Opportunity:
Automate compliance control to increase efficiency and regulatory adherence.
Benefits:

Improve regulatory compliance, reduce processing time, and avoid potential penalties.

Eliminate manual errors, enhance trust with regulators, and streamline operations.

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04.
Billing and invoice processing automation

Current State:
Manual processing of invoices and bills is labor-intensive and prone to errors, impacting financial accuracy and patient relationships.
Future Opportunity:
Automate the extraction and processing of data from invoices and bills to enhance operational efficiency.
Benefits:

Reduce processing time, improve data accuracy, and streamline financial operations.

Minimize errors, increase trust with patients, and optimize resource allocation.

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