Revolutionizing Global Tire Business with Tyre Pricing and Market Intelligence

Client

A globally recognized tire manufacturer seeking to overcome challenges in pricing intelligence, assortment optimization, and channel performance while maintaining leadership in a competitive market dominated by players like Michelin and Continental.

Problem Statement

The client faced significant challenges in managing and optimizing their global operations:

Complex Product Portfolio

Diverse categories by vehicle type, application, construction, performance tier, and specialty features.
Need for dynamic pricing strategies to meet regional demands and maintain competitive edge.

Competitive Pressures

Difficulty monitoring 500+ competitor websites with advanced bot mitigation measures.
Managing channel conflicts and non-compliance with Minimum Advertised Price (MAP) policies.

E-Commerce Data Barriers

Hi-tech anti-bot defenses, with IP bans and CAPTCHA systems, delayed data extraction efforts.

Operational Inefficiencies

Manual and fragmented data collection processes resulted in delays and inaccuracies.

Comprehensive Solution by Actowiz

Technical Approach

Actowiz deployed a robust Tyre Intelligence Platform tailored to the client's needs, integrating:

Advanced Bot Mitigation Techniques

Premium Proxies: Used dynamic IP rotation to bypass geolocation restrictions and anti-bot defenses.
Residential Proxies: Represented genuine user traffic for continuous access to competitors’ sites.
CAPTCHA Bypass: Unified AI-based CAPTCHA problem solvers for continuous data scraping.

Data Aggregation in Real-Time

Scraped real-time data from 500+ websites globally, covering:
Vehicle type (Passenger cars, trucks, motorcycles, off-road vehicles).
Applications (Summer, winter, all-season, performance, and specialty tires).
Pricing, inventory, and product details by construction and performance tiers.

Data Delivery Models

Managed Service Model:

Actowiz handled all crawling aspects, from development to delivery, providing output in formats like Excel, JSON, or APIs.

API-Based Model:

Delivered real-time scraped data via API integration, ensuring instant access to competitive insights.

On-Premise Model:

Installed and maintained crawling scripts on the client’s servers, enabling in-house data management.

SaaS Model with User Interface:

Delivered a user-friendly platform for real-time monitoring, visualization, and actionable insights.

Actowiz Solutions: Advanced Bot Mitigation and Data Aggregation

To overcome these challenges, Actowiz implemented an innovative data aggregation platform, focusing on bypassing complex bot mitigation measures while ensuring compliance with web scraping best practices. The solution involved several advanced techniques:

Headless Browsers

Utilized tools like Puppeteer and Selenium to render dynamic JavaScript-based content and bypass CAPTCHA challenges. These tools simulated human-like browsing behavior, enabling the extraction of real-time data from websites with heavy JavaScript rendering.

CAPTCHA Solvers

Integrated 2Captcha and AntiCaptcha services to automatically bypass CAPTCHA challenges, allowing uninterrupted data scraping without manual intervention.

Proxy Rotation & Residential IPs

Implemented rotating proxies and residential IP services to avoid IP-based rate limiting and detection. This ensured that requests appeared as though they came from legitimate users, bypassing IP blocks and allowing Actowiz to scale its data extraction efforts across multiple websites.

Geo-Restriction Handling

Employed geo-targeting techniques to simulate user access from different regions, circumventing geo-restrictions and enabling the extraction of region-specific pricing and availability data.

Session Management

Managed cookies and sessions effectively to maintain a consistent data flow, ensuring compliance with session-based authentication and cookies tracking.

Rate Limiting Control

Implemented gradual and throttled data extraction techniques, ensuring that scraping actions were spread out to avoid rate limiting and detection, while maintaining consistent data collection.

Project Execution Process

The project followed a structured and collaborative approach:

Project Kick-Off & Allocation

Defined scope and allocated dedicated resources for bot mitigation, crawling script development, and QA.

Project Scope Definition & Resource Alignment

Identified target websites, required data points, and delivery formats.

Set up infrastructure for scalable and secure operations.

Project Execution

Developed and deployed advanced crawlers with embedded QA rules.

Implemented CAPTCHA-solving mechanisms and proxy rotation for uninterrupted scraping.

Project Quality Control

Conducted both automated and manual QA checks for data accuracy and completeness.

Beta (Pilot) Delivery

Delivered a pilot version for client validation, incorporating feedback into the final solution.

User Acceptance Testing (UAT)

Confirmed alignment with the client KPIs like pricing intelligence, assortment compliance and optimization.

Final Delivery/Deployment

Delivered the final solution, ensuring seamless integration and post-deployment support.

Standard Internal Practices and Policies

To ensure smooth operations, Actowiz adheres to the following best practices:

Quality Assurance Process

Multi-layered QA, including automated and manual testing, ensures data accuracy and reliability.

Data Security Policy

End-to-end encryption for data transit and storage.

Strict access controls and compliance with GDPR and other data protection regulations.

Incident Management

Proactive monitoring of scraping processes with rapid resolution protocols for disruptions.

Change Management

Structured processes for adapting to changing website structures or client requirements.

Standard Service Level Agreements (SLAs)

Guaranteed uptime and delivery timelines, backed by clear communication and accountability.

Data Delivery Models

Actowiz offers flexible data delivery models to suit various business needs:

Managed Service Model

Actowiz manages the entire process, including crawler development, data extraction, and quality assurance. Output is delivered in formats like Excel, CSV, JSON, or XML.

API-Based Delivery

Real-time data is delivered via APIs, integrating seamlessly with the client’s existing systems.

On-Premise Model

Crawling scripts are installed on the client’s servers, allowing full control over the scraping operations.

SaaS Model with User Interface

Offers a comprehensible dashboard for insights and real-time monitoring into pricing, inventories, and product performances.

Results Delivered

Enhanced Competitive Edge

Delivered real-time insights into global pricing trends, inventory gaps, and demand shifts.

Revenue Growth

Achieved a 15% increase in global revenue through optimized pricing strategies.

Operational Efficiency

Automated workflows reduced manual intervention by 30%, saving time and resources.

Compliance Improvement

Resolved channel conflicts and ensured 95% compliance with MAP policies.

Scalability

Enabled seamless scaling across new markets and product categories with flexible delivery models.

Conclusion

Actowiz Solutions played an important role in helping the client revamp their global tire business. By using innovative data aggregation methods and advanced strategies to combat bots, combined with a clear and structured project execution plan, they set the stage for transformation. This collaboration led the client to not only achieve sustainable growth but also boost their profitability and streamline their operations. Therefore, they mainly established themselves like an industry leader.

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Case Study - Revolutionizing Global Tire Business with Tyre Pricing and Market Intelligence

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Client

Problem Statement

Complex Product Portfolio

Competitive Pressures

E-Commerce Data Barriers

Operational Inefficiencies

Comprehensive Solution by Actowiz

Technical Approach

Advanced Bot Mitigation Techniques

Data Aggregation in Real-Time

Data Delivery Models

Managed Service Model:

API-Based Model:

On-Premise Model:

SaaS Model with User Interface:

Actowiz Solutions: Advanced Bot Mitigation and Data Aggregation

Project Execution Process

Standard Internal Practices and Policies

Data Delivery Models

Results Delivered

Conclusion

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