Category: Text Scanning

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Text Scanning

How scanflow helped automate tire handling, improve visibility, and reduce operational cost

When a global e-commerce supply chain team sought to improve the way they track and manage tire inventory across warehouses, their requirement was clear. They needed a solution that could eliminate manual SKU counting, track tire aging, and reduce turnaround time, all without relying on on-premises software. 

The challenges were deeply operational: 
  • Manual tire identification during unloading and storage introduced frequent errors in SKU matching and quantity counts 
  • There was no way to track tire aging, leading to SLOB (slow-moving and obsolete) stock buildup 
  • Retrieval workflows were slow, requiring repeated physical checks 
  • High man-hour consumption due to multiple verifications across touchpoints 
  • No real-time visibility into what was stored, where, or for how long 

The solution also had constraints. It had to be deployed in the cloud on the client’s AWS account with only hardware (if any) deployed on-site. The goal was a lightweight, scalable way to automate tire tracking using their existing infrastructure. 

Scanflow’s Approach: AI Data Capture for Asset Identification 

Scanflow deployed its enterprise-grade data capture system, using AI to enable real-time tire recognition through sidewall scanning. Operators used handheld smart devices and cameras positioned at loading and storage points to extract tire information directly from the physical asset, including TIN, size, and model codes. 

Each tire was instantly verified against the warehouse management system. The capture workflow did not rely on barcodes or printed tags. Instead, it read the markings directly from the tire’s sidewall using optical character recognition and computer vision. 

All scan data was processed in real time and transmitted to the client’s private AWS environment, aligning with internal data residency and compliance requirements. 

What Scanflow Enabled 
  1. SKU-Level Identification at Entry and Retrieval
    Tires were captured and validated on the spot, reducing mismatch errors and improving inbound accuracy. 
  2. Aging Visibility with Timestamped Tracking
    Each tire was logged with its arrival time, enabling rotation and active removal of aging stock before it became obsolete. 
  3. Live Warehouse Snapshot
    Warehouse managers could see a real-time view of stock levels, distribution by zone, and tire movement, improving space utilization. 
  4. Reduced Turnaround Time for Picking and Dispatch
    Because tire type and location were tied to live data, retrieval paths were optimized, cutting delays. 
  5. No On-Prem Software Required
    The solution ran securely in the client’s AWS cloud instance, with edge-only processing at the point of scan. 
  6. System Integration with Existing WMS
    Scan events and validations were passed directly into the warehouse platform using secure APIs. 

Results Delivered 

  • 80 percent reduction in SKU mismatch and manual entry errors 
  • 55 percent faster tire retrieval and dispatch turnaround time 
  • Reduction in SLOB inventory through proactive aging insights 
  • Lower man-hour usage through fewer touchpoints and fewer rechecks 
  • Full compatibility with cloud-first environments and edge data capture 

Final Note 

Scanflow enabled the client to move away from spreadsheets, barcode dependency, and repetitive checks into a structured, data-driven tire management model. By capturing data from the tire itself and syncing it directly to cloud systems, the warehouse team gained clarity, speed, and measurable control over tire operations. 

To learn how Scanflow can bring structured data capture to your tire or asset tracking workflows, connect with our solutions team.

Request a walkthrough  

or schedule a deployment discussion with us today. 
 
 
 

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Text Scanning Tire Sidewall

How Tire Sidewall Scanning using AI is transforming tire warehousing in Automotive Manufacturing

In automotive manufacturing, precision in tire identification is non-negotiable. But inside warehouses, the way tires are received, stored, and retrieved still relies heavily on manual intervention, leading to mismatches, delays, and an inability to manage inventory effectively. Sidewall data capture introduces a system of record built directly from the tire, enabling smarter, faster, and more accurate warehouse operations.

 

In most tire warehouses, the process begins with unloading. Tires are manually counted and logged using either handheld scanners or visual checks. From this point forward, tracking relies on printed barcodes, handwritten logs, or product labels that are easy to misread or lose. The warehouse is left operating on estimates, assumptions, and static records.


  • Inaccurate SKU matching: Selecting the wrong tire model or size during retrieval is common when multiple similar variants are stored in close proximity.
  • Manual data entry errors: Serial numbers and model information are often typed in by hand, increasing the risk of mismatch or duplication.
  • Lack of visibility into tire aging: There is no reliable mechanism to track how long each unit has been stored, leading to slow-moving stock building up unnoticed.
  • No real-time inventory insight: Most systems only offer a point-in-time view, which becomes outdated as soon as stock is moved or reallocated.
  • Increased turnaround time: The time it takes to find, verify, and dispatch the correct tire grows, especially as SKU complexity increases.
  • High man-hour cost: Staff must spend time on low-value tasks like physical checks, double entry, and re-scanning due to initial inaccuracies.

In fast-moving production environments, these issues quickly become bottlenecks – not just for the warehouse, but for the entire supply chain that depends on it.

  • Every tire has essential data embedded in its sidewall. This includes:
  • The Tire Identification Number (TIN)
  • Size and load index
  • Manufacturer and model
  • Batch or production code

Instead of relying on external labels, barcodes, or manual logs, sidewall data capture uses computer vision and optical character recognition to extract this information directly from the tire. The system identifies each unit as it is received, moved, or retrieved without requiring any manual input.

This data is immediately matched to the expected SKU and stored in the warehouse management system in real time. As a result, the warehouse has a live, continuously updated inventory view based on what is actually in storage, not just what was scanned in at the door.

1. Asset-Level Identification at Entry

Tires are identified individually as they are unloaded, with precise data linked to each unit. This eliminates reliance on aggregated batch-level logging or barcode stickers that may detach or degrade.

2. Reduced SKU Mismatch During Retrieval

Operators retrieve tires based on validated data from the sidewall, not assumptions or packaging labels. The system flags any discrepancies between what is picked and what is expected.

3. Live Tracking of Tire Aging

Because each tire is scanned and time-stamped at arrival, its storage duration is tracked automatically. This enables FIFO or FEFO practices and prevents the creation of slow-moving or expired stock.

4. Real-Time Warehouse Snapshot

Management gets a complete picture of what is stored where, down to the model and age of each unit. This allows for better layout planning, stock rotation, and dispatch prioritization.

5. Space Utilization Optimization

With clear data on high-movement SKUs, warehouse teams can adjust placement zones and stacking logic to reduce time and effort spent on retrieval.

6. Reduction in Man-Hour Cost

Automated capture eliminates the need for repeated checks, re-scanning, and dual entry. Fewer errors mean fewer corrections, and fewer hands are needed to manage day-to-day tracking tasks.

Moving from Manual to Measurable

The shift from manual identification to structured AI sidewall capture is not just about saving time. It is about enabling tire warehousing operations to work with a level of data integrity and speed that matches the rest of the automotive manufacturing process.

Inaccurate or missing tire data delays dispatches, inflates inventory cost, and slows down assembly. When identification happens at the source; at the moment the tire is unloaded, these problems no longer accumulate. Warehouses become faster. Decisions become more informed. Stock becomes more visible and manageable.

Conclusion

Sidewall data capture transforms warehouse operations from manual and reactive to intelligent and data driven. By building traceability from the physical asset itself, it eliminates errors at the point of entry, improves selection accuracy during retrieval, and gives real-time visibility into every tire in the system.

For tire manufacturers, OEMs, and their warehousing partners, the message is simple: better data starts at the sidewall and the time to capture it is now.

If your teams are still spending time on manual tire checks, SKU revalidations, or inventory clean-ups, you’re losing more than just time – you’re losing traceability, efficiency, and cost control.

Scanflow lets you capture tire sidewall data directly from the tire; fast, accurate, and fully integrated into your existing workflows.

No guesswork. No double entry. Just clean data, from source to dispatch.

Book a walkthrough with our team to see how Scanflow fits into your warehousing environment.

Schedule a demo or Download SDK to start.

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Airline Fintech general ID Scanning Text Scanning

Automated Invoice Scanning & Processing: How Scanflow Helped a Leading Enterprise Reduce Errors and Improve Efficiency in invoice scanning

Automated invoice scanning and planning

Manual invoice scanning and processing is one of the most time-consuming and error-prone tasks in financial operations. Businesses dealing with large volumes of invoices often struggle with delays, data entry mistakes, and inefficiencies in validation. A leading enterprise faced these challenges daily, affecting their operational efficiency and financial accuracy. They approached Scanflow to implement an intelligent solution that could automate invoice processing, eliminate errors, and integrate seamlessly with their existing enterprise resource planning (ERP) system. 

Challenges with the Manual Process:

Before implementing Scanflow’s solution, the client encountered five major issues:

a) Manual Errors
Traditional bill scanning and data entry led to frequent inaccuracies, causing delays and inefficiencies in payment processing.

b) Time-Consuming Processes
Employees had to manually scan and email invoices, requiring significant effort and coordination, leading to slower turnaround times.

c) Document Storage & Retrieval
Managing and retrieving invoices manually was cumbersome, often resulting in misplacement and difficulty in tracking payment records.

d) Integration Issues
The lack of an automated workflow delayed data synchronization with the ERP system, making financial reconciliation a time-consuming task.

e) Scalability & Performance Constraints
As invoice volumes grew, handling them manually became overwhelming, creating bottlenecks and reducing operational efficiency. 

These inefficiencies caused bottlenecks in workflows, increasing operational costs and delaying vendor payments. The company needed a solution that could automate data extraction, ensure validation accuracy, and integrate smoothly with their financial system without disrupting existing processes. 

Solution: AI-Powered Bill Processing for Seamless Automation

1. Eliminating Manual Processes with AI Automation

  • Manual bill processing was inefficient and error prone. To solve this, an AI-powered automation system was deployed to streamline the entire workflow. The solution removed redundant steps, reduced errors, and ensured seamless integration with existing processes.

2. AI-Driven OCR for Accurate Data Extraction

  • The system used Optical Character Recognition (OCR) technology to scan and extract key invoice details, such as invoice number, vendor name, amount, and transaction date. Unlike traditional scanning, AI ensured structured and error-free data extraction.

3. Automated Email Subject Generation

  • To maintain consistency, the system automatically generated email subject lines based on predefined patterns. This eliminated human errors, ensuring uniform formatting across all transactions.

4. Multi-Page Invoice Processing & Smart PDF Generation

  • Instead of handling separate uploads, AI compiled all scanned pages into a single high-resolution PDF. The document was automatically named based on extracted invoice details, ensuring easy retrieval and identification.

5. Instant Transmission & Seamless Integration

  • Once processed, the structured data and final document were instantly sent to a predefined email recipient. The AI system handled this autonomously, reducing processing time and minimizing human intervention.

6. Real-Time Logging for Better Tracking

  • Every processed invoice was logged into the company’s internal records, making financial audits and document retrieval effortless. This removed the need for manual record-keeping and improved compliance.
Business Impact: Operational Efficiency, Cost Savings & Scalability 

1. Reduced Processing Time

  • AI automation cut down the time required for bill processing, enabling real-time invoice handling without human delays. Employees could focus on higher-value tasks instead of repetitive data entry.

2. Enhanced Accuracy & Compliance

  • Human errors in invoice details, email formatting, and data entry were eliminated. The structured system ensured uniformity, making financial tracking and compliance easier.

3. Cost Savings & Workforce Optimization

  • With reduced manual intervention, the organization saved costs related to document handling and reallocated resources to more strategic functions. This improved workforce efficiency.

4. Faster Document Retrieval

  • Smart PDF naming and structured storage allowed quick and hassle-free retrieval of invoices. Employees no longer had to search through cluttered email threads to find past transactions.

5. Scalable & Secure Processing

  • The AI-driven system handled high transaction volumes without performance issues. Built-in security measures safeguarded financial data, ensuring regulatory compliance and protection against data breaches.
A Smarter, Faster, and More Reliable Bill Processing System: By adopting AI automation, the organization significantly improved efficiency, accuracy, and scalability. The transition eliminated manual inefficiencies, reduced costs, and ensured a secure, future-ready financial processing system.

 

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Barcode scanning general ID Scanning Quality control Text Scanning Tire Sidewall uncategorised vin scanning

How AI is Transforming Data Capture Across Industries

In today’s fast-paced world, businesses are turning to AI for data capture to collect, process, and manage complex information with greater accuracy and speed. This technology extends beyond simple data extraction, it efficiently handles alphanumeric data like VIN plate scanning, tire sidewall numbers, serial numbers, Bar codes, QR codes etc., ensuring precision even in the most challenging conditions. 

Industries such as automotive, logistics, manufacturing, and retail are integrating AI visual inspection solutions and AI for data capture to streamline workflows, reduce manual errors, and enhance operational efficiency. This shift isn’t just a technological upgrade but it’s redefining how businesses capture and use data in real time.

  1. Expanding Data Capture Beyond Traditional Methods

AI is revolutionizing data capture by automating the collection of complex information across various environments. What once required manual data entry or specialized equipment can now be handled seamlessly by AI visual inspection workflows. 

Key applications of AI in advanced data capture include: 

VIN Plate Scanning: Essential in the automotive and logistics industries, AI quickly and accurately captures vehicle identification numbers, streamlining tracking, registration, and inventory. 

Tire Sidewall Numbers: AI can extract detailed information from tire sidewalls, supporting product verification, recall management, and quality assurance in manufacturing. 

Serial Number Scanning: Useful in electronics and industrial sectors, AI captures serial numbers for inventory tracking, warranty management, and equipment identification. 

Alphanumeric Text Recognition: AI retrieves data from labels, machinery plates, and industrial documentation, ensuring error-free data input and reducing manual workload.

Why it matters?

AI captures data from worn, distorted, or low-visibility surfaces, ensuring accurate collection under challenging conditions. This reduces errors, enhances data consistency, and allows businesses to maintain accurate records without manual oversight. 

  1. Automating Workflows for Greater Efficiency

Manual data entry is labor-intensive and prone to mistakes. AI introduces automation across industries, reducing the need for human intervention while improving accuracy and speed. This is particularly valuable in environments requiring high-volume data capture. 

Benefits of AI-automated workflows include: 

Faster Data Processing: AI captures and processes large volumes of data in seconds, accelerating operations in industries like logistics and automotive. 

Error Reduction: AI eliminates human error by accurately reading and recording alphanumeric information, even from difficult angles or damaged surfaces. 

Seamless Workflow Automation: AI integrates with existing ERP systems, warehouse management software (WMS), and supply chain platforms to automate data transfer and reporting. 

Industries such as manufacturing and retail benefit significantly from automated workflows, as AI can track incoming and outgoing shipments, verify product details, and ensure smooth operational transitions. 

  1. AI for Data capture: From Capture to Insight

AI doesn’t just capture data. Once collected, the data is processed, organized, and integrated with existing systems to provide a comprehensive view of business operations. 

Applications of AI for data management across industries include: 

Inventory Control: In warehousing and logistics, AI tracks product movement and ensures real-time updates, reducing miscounts and stock discrepancies. 

Automated Audits: AI facilitates internal audits by automating the collection and verification of critical data, ensuring compliance with industry regulations. 

Data Accuracy and Reporting: AI improves reporting precision by capturing real-time data across multiple touchpoints, enhancing supply chain visibility and operational transparency. 

By automating data management, businesses can process vast information efficiently while maintaining accuracy, ultimately enhancing decision-making and optimizing resource allocation. 

  1. Industry-Specific Use Cases of AI in Data Capture

AI’s adaptability makes it invaluable across multiple sectors, where it enhances efficiency and reduces human error. Here’s how AI-driven data capture transforms different industries: 

Automotive Industry: AI simplifies VIN plate scanning, improves inventory accuracy, and facilitates compliance tracking across vehicle fleets. 

Logistics & Supply Chain: AI automates serial number scanning for package tracking, delivery validation, and warehouse automation, ensuring faster and more accurate logistics. 

Manufacturing: AI captures tire sidewall numbers and other industrial identifiers, streamlining product lifecycle management and enhancing production efficiency. 

Retail & Consumer Goods: AI supports large-scale inventory tracking and customer data management, improving efficiency in managing supply chains and retail stock. 

Healthcare: AI assists in capturing device serial numbers and alphanumeric codes on medical instruments, ensuring accurate records for regulatory compliance. 

The Future of AI in Data Capture

The future of AI visual inspection solutions is poised to bring even more advanced capabilities to data capture and management. With ongoing advancements, AI will offer: 

Improved Recognition Accuracy: Enhanced models for capturing data from irregular surfaces, low-light environments, and damaged labels. 

Integrated Systems: Seamless communication with broader digital ecosystems, including IoT devices and smart supply chains. 

Scalable Automation: Greater scalability for industries handling high volumes of alphanumeric data, ensuring accuracy across diverse applications. 

Conclusion: AI is Redefining Data Capture 

AI is transforming the way industries handle data capture, moving beyond traditional methods to deliver faster, more accurate, and automated solutions. From VIN plate scanning in the automotive sector to serial number scanning in logistics, AI enhances efficiency and reduces human error across various touchpoints. 

By integrating AI visual inspection workflows and AI for data capture, businesses can automate complex processes, improve operational accuracy, and gain real-time insights. This shift not only optimizes resource allocation but also ensures smoother, more efficient workflows across industries. 

As AI continues to evolve, its applications in data capture will expand, offering smarter, more scalable solutions that drive innovation and operational excellence. Embracing these advanced technologies is no longer optional, it’s essential for businesses looking to stay competitive in a data-driven world.

To stay ahead of this curve, Explore Scanflow AI and see how it can benefit your business operations, visit – https://www.scanflow.ai/get-in-touch/

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Quality control Text Scanning

The Future of Visual Inspection for Automotive Manufacturing: AI Scanning Solutions in 2024

The automotive industry is undergoing a rapid transformation, driven by technological advancements and increasing consumer demands for high-quality vehicles. To meet these expectations, manufacturers are turning to innovative solutions that enhance efficiency, improve product quality, and reduce costs. One such solution is the integration of artificial intelligence (AI) into visual inspection processes.

AI-powered scanning solutions have emerged as a game-changer for automotive manufacturing. These systems leverage advanced algorithms and computer vision techniques to automate visual inspection tasks, such as detecting defects, verifying dimensions, and assessing surface quality. By replacing traditional manual inspection methods, AI scanning solutions offer several key benefits:

  • Enhanced accuracy: AI algorithms can detect defects that human inspectors may miss, ensuring higher product quality.
  • Increased efficiency: Automated inspection reduces the time required to inspect each vehicle, improving productivity and throughput.
  • Reduced costs: AI scanning solutions can lower operational costs by eliminating the need for manual labor and reducing scrap rates.
  • Improved consistency: AI systems provide consistent inspection results, reducing variability and improving overall quality.

When selecting an AI scanning solution for your automotive manufacturing business, consider the following factors:

  • Inspection requirements: Identify the specific visual inspection tasks you need to automate.
  • Integration capabilities: Ensure that the solution can be seamlessly integrated into your existing production processes.
  • Scalability: Choose a solution that can grow with your business and accommodate future expansion.
  • Cost-effectiveness: Evaluate the total cost of ownership, including hardware, software, and maintenance.

By carefully considering these factors, you can select an AI scanning solution that delivers the best value for your business.

Scanflow is a leading provider of AI-powered scanning solutions for the automotive industry. Their innovative technology enables manufacturers to automate various visual inspection tasks, including:

  • Component inspection: Verifying the quality of components such as headlights, taillights, and interior trim.
  • Assembly line inspection: Monitoring the assembly process to ensure that vehicles are built correctly.
  • Final inspection: Assessing the overall quality of completed vehicles before they leave the factory.

Scanflow’s solutions are designed to meet the specific needs of automotive manufacturers, offering high accuracy, speed, and reliability. Their technology is also adaptable to different inspection scenarios, making it suitable for a wide range of applications.

AI Visual Inspection Solutions

AI scanning solutions are playing a crucial role in transforming the automotive manufacturing industry. By automating visual inspection tasks, these solutions enhance quality, improve efficiency, and reduce costs. Scanflow’s innovative technology offers a reliable and effective solution for manufacturers seeking to optimize their production processes. As AI continues to advance, we can expect to see even more sophisticated and powerful scanning solutions emerging in the years to come.

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Text Scanning

How Intelligent Text Capture automates pharmaceutical workflows in Healthcare Organizations?

How does Scanflow effectively captures container numbers for a seamless shipping process - data capture in healthcare

When it comes to providing medical care, errors of any kind have no place in them. Healthcare providers are frequently prone to medical errors and face challenges in workflow operations. Automation reduces the potential for human error and eliminates inaccuracies in the healthcare delivery system.

With technological advancements like artificial intelligence, the healthcare industry has made great strides in innovation over the past few decades. Automation has modernized healthcare services by bringing in innovative solutions across pharmaceuticals, medical devices, diagnostic techniques, and therapies. By automating manual processes, repeated tasks are eliminated, allowing healthcare professionals to take charge of their time and efforts and direct them toward more fruitful activities.

Scanflow Intelligent Text capture allows healthcare workers to scan REF/LOT codes from medical supplies providing digital information from their own devices!

Scanflow is an AI scanner for smart devices that captures data and automates workflows. It can capture any type of data, including text, IDs, numbers, barcodes, and QR codes. Scanflow Intelligent text capture scans any type of REF codes from medical supplies where clinicians can instantly view crucial information, such as dosage, and patient-specific instructions by a simple scan from any smart device.

The information captured is stored as digital records within the enterprise system. Every pharmaceutical product comes with REF/LOT codes printed on it which carry vital information about the medicine. Scanflow captures data from the REF codes in seconds from any angle orientation at any external environment, including low light, damaged text, and light glares.

Scanflow technology works with any smart devices such as smartphones, iPads, tablets, wearables, and drones that can be used even offline. The SDK can be integrated into any existing application and is compatible with Android, iOS, and development frameworks like Xamarin, React Native, etc. The data captured from the container is stored offline with secure data encryption.

  • Simplifies and automates end-to-end workflow operations.
  • Scans at any challenging conditions with high accuracy.
  • Real-time visibility of operations.
  • Reduces the risk of inputting the wrong data.
  • East to upgrade from any development platform.

Automation assists healthcare professionals in improving patient care and improving their job satisfaction by relieving them from tedious data-handling activities.

Healthcare automation enhances patient care, lowers costs, increases operational effectiveness, and strengthens the healthcare delivery system. Both healthcare providers and patients gain more advantages as technology develops and increases the scope of what is feasible in healthcare automation.

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Text Scanning

How does Scanflow effectively captures container numbers for a seamless shipping process

Freight containers are generally used to transport raw materials and products across different locations or countries. These containers need to be verified before the shipment and after reaching the destined locations.

During the shipment process, large containers are identified by their container numbers, which are the most crucial information needed to manage the process. These container numbers are usually alphanumeric texts that are displayed on the container. Predominantly, shipping workers rely on manual entry of container numbers and maintaining records of them. However, manual data entry is time-consuming and prone to errors. These manual errors may result in containers being delivered to the incorrect location, causing the shipping process to be delayed.

Scanflow Intelligent text capture helps cargo workers to scan container identification numbers accurately from their smart devices.

Scanflow is an AI scanner on smart devices for data capture and workflow automation. It captures any form of data from Texts, IDs, Numbers, Barcodes, and QR codes. Scanflow Intelligent text capture efficiently scans long serial numbers from containers at any external condition. It can capture any form of alphanumeric text from containers where workers can choose to scan specific frames of serial numbers or scan the whole container to get the data.

By implementing AI-based technologies in workflows, logistics companies can improve their container tracking process more efficiently helping workers to quickly scan and identify containers. Scanflow accurately captures container numbers from any orientation at any external environment be it- low light damaged texts & numbers, or light glares without any errors.

Scanflow technology works with smart devices such as smartphones, wearables, and drones that can be used even offline. The SDK can be integrated into any existing application and is compatible with Android, iOS, and development frameworks like Xamarin, React Native, etc. The data captured from the container is encrypted and securely stored offline. As a result, safety concerns and container fraud can be avoided thereby enhancing the efficiency of the shipping process.

  • Simplifies and automates end-to-end workflow operations.
  • Scans at any challenging conditions with high accuracy.
  • Real-time visibility of operations.
  • Reduces the risk of inputting the wrong data.
  • East to upgrade from any development platform.

Human errors are unavoidable in any business process. Due to workload, stress, and distraction, it is difficult for employees to process and enter data perfectly every time. Workers can get highly accurate scan results instantly by integrating Scanflow into any smart device. It eliminates human errors and makes the data collection process simpler and more reliable. Furthermore, Smart devices are gaining the advantage of simplifying workflow processes as they are easy to handle and maintain adding more value to productivity.

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Text Scanning

Empower your customers with seamless Self-meter reading from their own devices!

meter reading solutions, OCR Meter Reading, mobile and web meter reading software development kit and API

Energy consumption is an inevitable process in everyday life that must be monitored and tracked frequently. Utility providers record energy consumption by manually reading and entering them in records. However, manual entry and recording of energy readings are time-consuming, expensive, increase labor costs, and are prone to frequent human errors.

Automation of workflow processes has evolved across all industries and is being adopted in every sector for managing operational tasks. Automatic data collection enables large utility providers to collect utility data digitally thereby reducing manual errors and improving efficiency.

Scanflow Intelligent text capture allows customers to scan their energy meters and get fast and accurate data from their smart devices.

Scanflow is an AI scanner on smart devices for data capture and workflow automation. It captures any form of data from Texts, IDs, Numbers, Barcodes, and QR codes. Scanflow Intelligent text capture efficiently scans serial numbers from energy meter readings at any external condition.

Scanflow Intelligent text capture offers a simple yet more effective solution that allows users to read their energy meter and submit them for the payment process. This increases trust amongst customers as they can manage their energy consumption and bills from their homes.

When integrated seamlessly with any smart device, Scanflow Intelligent text capture solution works in Android and iOS devices in any development framework such as Xamarin, React Native, etc. The users can access the data from their integrated system anytime, which helps reduce disputes regarding the level of energy consumption and billing amount.

  • Simplifies and automates end-to-end workflow operations.
  • Scans tires in any challenging conditions with high accuracy.
  • Increases the mobility & productivity of workers.
  • Saves time for workers to perform other priority tasks.
  • Easily upgraded from any development platform.

Leveraging manufacturing industries with innovative technologies will provide a significant competitive advantage to them. In recent years, many industries have started to adopt smart automated solutions in their workflows. This will mitigate operational costs and workers can have a productive work environment with errorless and more intelligible processes.

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