【Pricing Example】A foreign-affiliated general consulting firm collected tire information data from Yahoo Shopping to gather information across multiple sites.

Today, we present a case study where our company supported a foreign comprehensive consulting firm in collecting data from Yahoo! Shopping to efficiently gather tire information across multiple websites and accelerate their client proposals. This case study will be particularly insightful for those looking to collect large amounts of information quickly.

Client and Objective

Our client for this request is a global foreign comprehensive consulting firm. This company required tire information as part of market research to create proposal documents for their clients. Specifically, their objective was to comprehensively collect and analyze tire information listed on multiple e-commerce sites. Efficient information gathering was essential to accurately grasp market trends and enhance the precision of their client proposals. In particular, this firm aimed to effectively gather data from various sources to make their proposals more impactful. To achieve this goal, they were considering automating their data collection processes.

Challenges Faced

Our client faced two major challenges in their data collection process:

1. High Cost of Multi-Site Data Collection

Firstly, collecting information across multiple websites was expected to require considerable time and effort. In this particular case, they needed to collect tire information from a total of over 10 e-commerce sites. Manually navigating these sites and copying and pasting the necessary information was not practical. Furthermore, if multiple individuals were to share the task, the risk of missing information or data entry errors was significant. This situation made it difficult to accurately estimate the cost of information collection, delaying the project start. The firm was seeking a method to efficiently collect necessary information while minimizing the time and cost associated with data collection. Amidst these circumstances, they were searching for a way to collect accurate information at a reduced cost.

2. Cost of Data Acquisition Across 10 Sites

Secondly, data collection across 10 sites also presented significant financial concerns. If manual data collection were outsourced, it would not only incur high labor costs but also potentially lead to longer delivery times. Additionally, there was a risk of low data accuracy depending on the quality of the outsourcing partner’s work. The firm required a cost-effective data collection method. They were specifically exploring efficient ways to collect data to achieve maximum results within a limited budget. They were looking for a method that could reduce data collection costs while still obtaining high-quality data.

Impact of Problem Resolution

In response to these challenges, the data collection service we provided yielded the following results:

1. Significant Cost Reduction

By automating data collection, we achieved significant cost reductions. Not only were labor costs associated with manual data collection reduced, but the time required for information gathering was also drastically cut. This allowed the firm to allocate more resources to their primary task of preparing client proposals. In particular, automating multi-site data collection, which was challenging manually, led to substantial cost savings. Automation significantly shortened collection time and reduced costs.

2. Reduction of Human Errors through Scraping

Data collection through scraping significantly reduced human errors. Manual data entry inevitably leads to input mistakes and overlooked information. However, by automating data collection with scraping, these errors were eliminated, enabling the acquisition of more accurate and reliable data. Obtaining accurate data is indispensable for improving proposal quality, and automation through scraping played a significant role in enhancing that accuracy. Eliminating manual errors allowed for more reliable data.

3. Focus on Core Activities for Customer Proposals

By reducing the effort and cost associated with data collection, the firm could concentrate on their core activities: developing client proposal content and creating presentation materials. Data collection automation significantly improved the firm’s operational efficiency, providing an environment where they could dedicate themselves to more strategic tasks. This enabled the creation of higher-quality proposal materials, leading to increased customer satisfaction. The reduced burden of data collection allowed them to focus on their primary duties, improving the quality of customer proposals.

Pricing

The pricing and data content provided for this project are as follows:

• Price: approximately $265 USD (40,000 JPY)
• Data Content: Tire information acquired from Yahoo! Shopping (URL, Manufacturer, Brand, Size, Price, Stock Availability)
• Number of Records: 8,000 items
• Delivery Time: 10 business days

With this pricing, the firm achieved fast and accurate data collection, and we were able to provide a highly cost-effective service.

Sample Data

Below is a sample of the data actually provided:

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