Category: Tire Sidewall

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Tire Sidewall

How Tire Scrap Yards Are Going Paperless with Mobile AI Scanning

Tire scrap yards have long depended on manual workflows clipboards, handwritten DOT codes, and inconsistent documentation. These outdated methods slow operations, introduce errors, and limit visibility. 

Scanflow Scrap Tire Scanner an AI mobile solution that allows yards to go fully paperless. By instantly capturing TIN, DOT, brand, and model data from tire sidewalls, Scanflow empowers scrap yards to streamline operations, improve compliance, and boost efficiency with the tap of a screen. 

What Is the Scanflow Scrap Tire Scanner? 

The Scanflow Scrap Tire Scanner is a mobile AI tool that digitizes the identification of scrap tires. Using advanced computer vision and OCR (optical character recognition), the scanner reads sidewall information DOT codes, TIN numbers, size, and manufacturer data even on worn or damaged tires. 

With Scanflow SDK, this scanning capability can be embedded into mobile apps or any backend systems, enabling real-time asset identification without manual entry. 

Why Tire Scrap Yards Are Choosing Scanflow 

Manual tire tracking is no longer sustainable in high-volume environments. Paper-based systems introduce risk and inefficiencies: 

  • High error rates in DOT/TIN recording 
  • Lost paperwork in yard environments 
  • Slow recall response times 
  • Compliance challenges 

With Scanflow, tire yards gain a paperless, real-time system that ensures accurate sidewall scanning, digital traceability, and operational clarity no pens, no paperwork, no guesswork.

How Scanflow Works in a Tire Yard Workflow 

Scanflow fits seamlessly into existing operations: 

  • Operators scan tire sidewalls using a mobile device equipped with Scanflow’s SDK. 
  • AI instantly reads and extracts critical tire information (TIN, DOT, brand, size). 
  • The data is timestamped, validated, and logged digitally. 
  • Information syncs to cloud databases or local servers for immediate access and recall traceability. 

This system supports both online and offline environments, perfect for remote yards or high-throughput zones. 

Technology Behind the Scanflow Advantage 

Scanflow combines computer vision, edge AI, and OCR tuned specifically for tire sidewalls. Our models are trained on thousands of tire images from leading brands, giving scrap yards unmatched accuracy even in dusty or low-light conditions. 

Key features include: 

  • High-accuracy OCR sidewall recognition 
  • Compatibility with smartphones, tablets, and rugged devices 
  • Edge-based processing for offline use 
  • Seamless integration with any backend systems via Scanflow’s SDK 

With Scanflow, yards get real-time intelligence, scalable infrastructure, and easy onboarding without the need for physical barcodes or RFID tags. 

Benefits of Going Paperless with Scanflow 

Scrap yards using the Scanflow Scrap Tire Scanner report dramatic improvements: 

  • Up to 80% reduction in entry errors 
  • 55% faster tire intake and dispatch 
  • Real-time visibility into aging inventory 
  • Enhanced recall readiness through digital DOT/TIN tracking 
  • Labor cost savings and increased throughput 

By digitizing the asset identification process, Scanflow boosts efficiency while reducing risk and regulatory exposure.

Implementation Made Easy

Scanflow offers plug-and-play SDK, making implementation smooth and scalable:

  • Compatible with Android & iOS devices 
  • Modular APIs for ERP, inventory, and logistics platforms 
  • Edge/cloud options for flexibility 
  • Hands-on technical support and documentation 

Whether you’re upgrading an existing system or building from scratch, Scanflow ensures a fast, efficient transition to paperless scanning.

The Future of Tire Yard Digitization with Scanflow 

As digital transformation accelerates, Scanflow is leading the way with: 

  • AI-driven sorting lines with real-time tire data feeds 
  • Voice-activated scanning for hands-free operation 
  • Predictive analytics for optimizing inventory cycles 
  • Carbon footprint tracking for sustainability compliance

With ongoing innovation, Scanflow enables scrap yards to stay compliant, competitive, and future-ready. 

Conclusion 

Scanflow Scrap Tire Scanner is transforming how tire scrap yards operate bringing paperless precision, AI automation, and real-time traceability to a traditionally manual industry. 

For yards looking to modernize and future-proof their operations, Scanflow offers the most scalable, intelligent, and field-proven solution on the market today. 

Ready to eliminate paperwork and boost tire yard performance?
Talk to the Scanflow team today. 

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Tire Sidewall

Scan Tire DOT Numbers with Your Smartphone: Fast & Accurate Tire Identification

If you’ve ever had to manually record or verify the DOT number on a tire, you know how tedious and error-prone it can be. Whether you’re a tire retailer, fleet operator, or auto technician, tracking tire data is essential for recall safety, compliance, and asset identification. Thankfully, mobile technology has caught up and now you can scan tire DOT numbers with your smartphone using powerful tools like Scanflow. 

In this blog, we’ll walk you through everything you need to know about scanning tire DOT numbers with your phone, and how solutions like Scanflow make this process lightning-fast, highly accurate, and perfect for enterprise applications. 

Understanding DOT Numbers and Tire Identification

The DOT number, also called the TIN (Tire Identification Number), is a string of alphanumeric characters stamped into the sidewall of a tire. It reveals critical information such as: 

  • Manufacturer and plant code 
  • Tire size and batch 
  • Date of production (week and year) 

This code is regulated by the U.S. Department of Transportation and is vital for identifying tires in case of recalls, for warranty purposes, or for asset registration in business systems.

Why Scan DOT Numbers with a Smartphone? 

Traditionally, capturing DOT numbers involved manual typing or paper logs prone to mistakes and time delays. Using a smartphone for tire scanning offers: 

  • Speed: Instant data capture and extraction. 
  • Accuracy: Eliminates manual entry errors. 
  • Convenience: No special scanners or hardware required. 
  • Scalability: Perfect for tire retailers, fleets, or logistics providers managing thousands of tires. 

With this method, you’re not just scanning  you’re digitally identifying assets and creating traceable records with just a phone in hand.

Introducing Scanflow for Asset Identification and Tire Scanning 

Scanflow AI asset identification SDK empowers smartphones and tablets to perform high-accuracy tire scanning using built-in cameras. Designed for speed and reliability, it recognizes DOT numbers and additional sidewall data even under tough conditions worn treads, uneven lighting, and more. 

Key features of Scanflow tire scanning: 

  • Detects DOT/TIN, serial number, tire size, model. 
  • Uses AI-based OCR to capture low-contrast or damaged codes. 
  • Fully functional offline, great for warehouses or field conditions. 
  • Integrates with apps, ERPs, or inventory systems. 

By combining asset identification with tire scanning, Scanflow turns smartphones into powerful data collection tools.

Step-by-Step Guide: Scanning DOT Numbers with Your Smartphone 

Step 1: Open Your Scanflow-Enabled App

Ensure your mobile app integrates the Scanflow SDK. Launch it to begin scanning. 

Step 2: Align the Camera with the Tire Sidewall

Position your phone so the entire DOT number area is visible within the screen. Use built-in framing guides for precision. 

Step 3: Capture the DOT Code

The Scanflow engine will automatically detect and extract the DOT/TIN from the sidewall using real-time image processing. 

Step 4: Review Captured Data

Details like manufacturing week/year and tire plant code will be shown. Confirm accuracy before proceeding. 

Step 5: Export or Sync Data

Store it locally, sync with your cloud platform, or push directly into your ERP, WMS, or CRM system.

Best Practices for Reliable Tire Scanning

To get the best results with smartphone-based tire scanning: 

  • Clean the tire surface before scanning. 
  • Use adequate lighting, or enable the camera flash. 
  • Hold your phone steady and perpendicular to the sidewall. 
  • Scan both sides of the tire sometimes the DOT appears on only one side. 
  • Train your system using Scanflow’s custom recognition models for better results in specific environments. 

Real-World Use Cases and Business Benefits 

Tire Retailers & Repair Centers

Quickly register every tire sold or installed. Meet compliance requirements for warranties and recalls. 

Fleet Management & Logistics

Digitize asset identification for tires across multiple vehicles and locations, streamlining inspections and replacements. 

Manufacturing & Quality Control

Automate the capture of DOT numbers during production and inspection, reducing manual labor and errors. 

Insurance & Claims Assessment

Accurately document tire data for claims, damage inspections, or accident reports.

With Scanflow, these businesses achieve faster processing, higher accuracy, and better traceability all while reducing operational costs.

Conclusion

Smartphone based tire scanning isn’t just the future it’s here now. With Scanflow, you can instantly and accurately capture DOT numbers, turning every tire into a digitally traceable asset. From fleet tracking to retail compliance, Scanflow asset identification transforms how tire data is captured, managed, and leveraged for business success.

Talk to the Scanflow team today. 

 

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Tire Sidewall Text Scanning

How AI Scanner Help Capture TIN and DOT Numbers to Enable Smarter Tire Tracking

In 2020, A Tire Company recalled over 90,000 tires due to potential belt separation. The recall listed partial DOT codes, forcing fleet operators and dealers to manually inspect thousands of tires scrubbing faded sidewalls, jotting TINs on paper, and verifying records by hand.

This isn’t a one-off event. Tire recalls affect millions of units every year, yet most businesses still rely on manual TIN/DOT tracking, leading to slow response times, grounded vehicles, and compliance risks.

Why TIN and DOT Codes Matter More Than Ever

TIN and DOT numbers are more than regulatory labels they are essential for tire traceability, asset identification, and recall readiness. The U.S. National Highway Traffic Safety Administration (NHTSA) reports that a large portion of tire recalls are traceable only through accurate DOT codes.

Without efficient tire identification, service providers and fleet managers face real risks: delays, data errors, and overlooked recalls that can affect safety and compliance.

The Problem: Manual Tire Data Capture Slows Everyone Down

The issue isn’t availability of tire data it’s that manually reading and recording TIN and DOT codes is inefficient, especially on dirty, curved, or worn sidewalls. In fast-paced environments like automotive service centers, tire yards, and distribution depots, expecting technicians to write down codes or use spreadsheets simply doesn’t scale.

One missed or misread code could allow a recalled tire to remain in service risking both safety and regulatory violations.

The Solution: AI Mobile SDK for Tire Identification

Modern solutions like AI scanner mobile SDKs are transforming how tire identification is done. Instead of relying on manual transcription, service teams can now scan tire sidewalls using AI-powered mobile tools that automatically capture TIN and DOT codes even in poor lighting or on aged tires.

The Scanflow Asset Identification Mobile SDK allows OEMs, fleet operators, and service providers to embed intelligent scanning into their own apps or workflows. With it, teams can identify tires instantly and digitally enabling faster recalls, more accurate audits, and smarter inventory tracking without any paperwork.

Conclusion

TIN and DOT codes might be small, but they carry enormous weight when it comes to safety, traceability, and operational efficiency. By using Asset Identification Mobile SDK, automotive businesses can eliminate human error, respond to recalls faster, and make every tire inspection count.

Is your team still relying on eyes and clipboards to track tire safety?

Discover how Scanflow AI can help digitize and automate tire inspections from TIN/DOT scanning to instant digital logging. Request a demo or get in touch

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

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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Tire Sidewall

Improving Operational Efficiency and Reducing Downtime in Tire Manufacturing Process

In the ever-evolving world of manufacturing, companies face constant pressure to enhance operational efficiency and reduce downtime to remain competitive. For many industrial businesses, challenges such as inaccurate tracking and unplanned downtime can hinder production processes and escalate operating costs.

A leading tire manufacturing company faced significant pain points that hampered their operational efficiency and led to costly disruptions in their manufacturing process. The company struggled with tracking sleeve lifetimes accurately, resulting in unplanned downtime, increased operating costs, and inefficiencies in maintenance scheduling.

However, all this changed when the company embraced Scanflow’s AI-based automated sleeve monitoring solution with advanced text scanning technology.

The tire manufacturing company had pain points that affected their operational efficiency and led to delays in their manufacturing process, The notable challenges are as follows:

The company faced an inability to predict sleeve failures and schedule maintenance in advance. The sleeve breakages during operation caused costly delays and productivity loss which affected overall efficiency.

Manual and Time-consuming Monitoring: The company relied on labor-intensive and time-consuming manual methods for tracking sleeve usage. This was prone to errors and lacked real-time insights into sleeve lifetimes which hindered efficient production planning.

Limited Sleeve Lifetime Monitoring: Difficulty in effectively monitoring sleeve lifetimes in machines. This lack of visibility into remaining useful life hindered timely replacements which resulted in unexpected breakdowns during operations.

Inaccurate Tracking during Sleeve Transfers: The sleeve lifetimes are not accurately tracked when transferred between machines, using worn-out sleeves in different machines caused disruptions and led to untimely breakdowns and production delays.

Inefficient Maintenance Scheduling: The absence of a predictive maintenance system hampered the optimization of maintenance schedules. Some machines received unnecessary maintenance which delayed the risk of breakdowns.

Increased Operating Costs: The unplanned downtime, inefficient maintenance practices, and production delays led to higher operating costs. The lower productivity levels contributed to increased expenses.

Scanflow addresses these pain points with its Intelligent text scanning which leverages an automated sleeve monitoring solution. This innovative system offered the following solutions:

Scanflow offers real-time insights, predictive maintenance capabilities, and standardized tracking methods by capturing serial numbers, making it a game-changer for optimizing tire manufacturing operations.

Enhanced Sleeve Lifetime Monitoring: Scanflow enabled comprehensive tracking of each sleeve’s lifespan through a centralized database. This real-time tracking empowered operators to plan timely replacements, avoiding unexpected breakdowns.

Accurate Sleeve Tracking during Transfers: By establishing a connection between sleeves’ unique identifiers and machine data, the system ensured accurate tracking during transfers. Operators were notified if a sleeve nearing its end-of-life was about to be moved to another machine.

Predictive Maintenance and Minimized Downtime: Scanflow analyzed sleeve usage patterns, predicting potential failures in advance. The timely notification helps in proactive maintenance, minimizing unplanned downtime and production delays.

Automated and Efficient Monitoring: With automated monitoring, the manual and time-consuming tracking process was eliminated. Real-time insights into sleeve lifetimes improved overall operational efficiency.

Optimized Maintenance Scheduling: The predictive maintenance system allowed them to optimize maintenance schedules, reducing unnecessary servicing and minimizing the risk of breakdowns.

Reduced Operating Costs: By eliminating unplanned downtime and streamlining maintenance practices, the company experienced a significant reduction in operating costs associated with emergency repairs and rush orders.

Standardized Monitoring for Varied Sleeve Types: Scanflow’s advanced text scanning technology enabled standardized monitoring even for sleeves without scannable text identifiers, ensuring a uniform monitoring system.

Workflow Automation for Automotive industry

The implementation of Scanflow into their workflow has led to a series of remarkable business outcomes.

Reduced Downtime and Improved Productivity: The automated Sleeve monitoring solution continuously tracks the condition and usage of each sleeve in real-time. This reduced downtime and optimized maintenance schedules lead to improved overall production efficiency.

Reduced Operating Costs: By preventing unplanned breakdowns and emergency repairs, operating costs associated with rush-ordering replacement sleeves are significantly reduced.

Enhanced Quality Control: The system accurately tracks the usage history of each sleeve, allowing for the identification of anomalies or deviations in the manufacturing process. Better quality control ensures consistent and high-quality tire production, meeting industry standards and customer expectations.

Streamlined Operations and User-Friendly Interface: The solution offers a user-friendly mobile app that simplifies data input and provides notifications on maintenance needs. With automated tracking and data entry, the chances of human errors are minimized, enhancing the accuracy of production records.

The implementation of Scanflow’s advanced Intelligent Text scanning for sleeve monitoring solution proved to be a game-changer for the tire manufacturing company. By effectively addressing the pain points, the company experienced improved operational efficiency, reduced downtime, and enhanced cost-effectiveness.

This success story serves as a testament to the transformative power of AI-based solutions in driving excellence in manufacturing Industries.

Discover how Scanflow can transform the operational efficiency of manufacturing process: Text Scanning – Text Scanning Software for Smart Devices – Scanflow | Barcode Scanning Software

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Tire Sidewall

Streamline Tire manufacturing: How Scanflow helps in Cost Reduction and Workforce Productivity!

Effective inventory management is critical for tire manufactures to ensure smooth operations, reduce costs, and optimize production. The incorporation of Scanflow into backend systems such as manufacturing execution systems is a critical component in achieving efficient inventory management. Scanflow has the potential to transform the way tire manufacturers track and manage their inventory.

Scanflow is an AI scanner on smart devices for data capture and workflow automation that helps tire manufacturers in inventory tracking and management. When new tires are manufactured, Scanflow scans unique identifiers such as serial numbers, DOT numbers or barcodes and updates in the inventory database. This initial step guarantees that each tire within the system has a unique identity, making it easier to track and manage them throughout their existence.

 

As the tires progress through the manufacturing and process, Scanflow continuously updates the inventory system in real time. This provides manufacturers with immediate visibility into stock levels and locations, eliminating the need for manual tracking and reducing the chances of stockouts or overstocking. By automating these processes, tire manufacturers can streamline their supply chain operations and improve overall efficiency.

These real-time visibility into stock levels and locations allows manufacturers to make data-driven decisions regarding production planning and order fulfillment. With accurate and up-to-date information, they can optimize inventory levels, ensuring that they have enough stock to meet demand without excessive storage costs. This leads to better resource allocation and increased profitability.

The decrease of inventory-related errors is another key advantage of incorporating Scanflow into the backend system. Human errors, such as incorrect data entry or misplaced items, are common in manual inventory tracking. These errors might result in incorrect stock levels, delayed shipping, and unsatisfied customers. Scanflow reduces the likelihood of such errors by automating the inventory management process, ensuring data accuracy and enhancing overall operational efficiency.

Moreover, Scanflow provides real time capabilities where manufacturers can get visibility on inventory levels, movement patterns, and other metrics. These insights enable them to identify areas for improvement, optimize storage utilization, and enhance overall supply chain performance. By having access to actionable data, manufacturers can make proactive decisions to mitigate risks and address potential bottlenecks.

The integration of Scanflow into the backend system is a game-changer for tire manufacturers in terms of inventory management. By automating inventory tracking processes, Scanflow enables real-time visibility into stock levels and locations, minimizes inventory-related errors, and provides valuable analytics. These benefits contribute to a streamlined supply chain, optimized production, and increased workforce productivity. The tire manufacturing industry is becoming more competitive and embracing technologies like Scanflow becomes essential for staying ahead and thriving in the market.

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Tire Sidewall

How Intelligent Tire Scanning empowers workflow operations in manufacturing industries

Scanflow - Tire Tread Scanner for Mobile Devices, Mobile Tire Scanning SDK, Tire Scanner SDK

Automation has become a potential solution for manufacturing industries that helps them to enhance workflow processes and simplify procedures. The industrial revolution 4.0 has paved the way for adopting technological innovations into workflow operations.

Manufacturing industries dealing with tires are facing challenges with manual tire reading and data collection. Most of the workers dealing with tire services rely on manual data entry for getting tire information. Manual tire data collection is time-consuming and causes frequent errors with precision. The errors are caused as the tires are kept in adverse external environments such as low lighting, grease, and dust which makes it difficult for workers to collect the information manually.

Scanflow Intelligent text scanning can be integrated with everyday smart devices that make the data collection process easier and more convenient for workers.

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 codes, numbers, or serial numbers from tire sidewalls at any condition and provides real-time insights from the data captured. It captures and stores any type of tire information such as serial number, tire size, width, aspect ratio, and manufacturer details.

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 codes, numbers, or seria Apart from capturing identifying tire information, Scanflow helps workers to complete their workflow by providing them the information such as if there is any replacement needed for the tires, its maintenance status, or if the tires are fit to be moved to production. The data captured from the tires are stored completely offline with secure data encryption.

Scanflow can be integrated into any existing application on smart devices which runs on Android, iOS, and development platforms like Xamarin, React-Native, etc.l numbers from tire sidewalls at any condition and provides real-time insights from the data captured. It captures and stores any type of tire information such as serial number, tire size, width, aspect ratio, and manufacturer details.

  • 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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