Dynamic Pricing Made Easy: How Web Scraping Helped an Online Store Stay Ahead
This case study focuses on how 3i Data Scraping has developed a dynamic pricing strategy to filter prices in real-time. The organization has provided the best solutions to the client to stay ahead in intense market competition. This company helped them to solve their core problem of price volatility issues. The case study is all about the approaches used by 3i Data Scraping to gain a higher conversion rate and boost customer satisfaction.
About Client
Our client is an online retail giant with a customer base of millions worldwide. They have a large logistics network for global distribution. The client has a high-traffic website. They sell a wide range of electronics, fashion & apparel, home and kitchen goods, and health & beauty products online. The client formed partnerships via the strong vendor network. This industry leader focuses on AI‑driven insights.
Client Requirement
The client wanted an automated solution to track real-time pricing and adjust it automatically. They were looking to monitor various competitor aspects through continuous tracking. The client requested to boost customer loyalty by designing the best reward program.
The client wished to smartly handle global operations to strengthen the global presence of their business. They wanted to optimize revenue to maximize profit margins. They came to us to scrape competitor’s product pricing without violating MAP.
A few other requirements of the client were as follows:
- Segment customers to deliver targeted price offers.
- Forecast a smart strategy to plan future pricing.
- Optimize customer experience to gather valuable insights from customer interactions.
- Receive price change alerts directly without delay.
- Predict demand and predict buying trends.
- Actionable insights for market analysis and staying ahead of competitors.
Challenges
The client faced the following challenges in business:
- Volatility in price due to rapid market changes.
- Not able to monitor the competitor because of the manual approach.
- Fulfill customer fair pricing demand while maintaining ROI.
- Unable to protect the margin due to profit loss risk.
- Poor Trend predictions resulted in the client’s forecasting errors.
- Market saturation led to intense competition levels.
- The rising cost directly led to high operational spend.
- No automated platform to reduce manual effort.
- Limitations in forecast analysis hinder trend predictions.
- Lack of understanding of seasonal pricing rules limits festive demand maximization.
- Difficulty in managing a large inventory because of data overload.
- Difficulty in optimizing promotions because of misaligned discount timing.
- Unable to scale operations globally as a result of regional variations.
- Inability to personalize customer offers due to a lack of segmentation insights.
- Designed a localized pricing model to gain a higher conversion rate and boost customer satisfaction.
Solutions
3i Data Scraping has provided the following solution to solve the above challenges:
- The organization has developed an automated web scraping solution to extract prices from competitors’ sites in real‑time.
- This company provided market position insights through competitor benchmarking.
- Developed an inventory sync system to balance stock levels.
- Helped the client with seasonal pricing rules to align with the festive season.
- Provided quick alerts to facilitate faster decision-making.
- Align internal regulations for effective compliance monitoring.
- 3i Data Scraping has optimized costs to lower operational spend.
- Adopted AI algorithms to intelligently expand data collection strategies.
- To solve the issue of intense competition levels, the organization differentiates its product offerings.
- Leverage data cleansing tools to improve the accuracy of data-driven decisions.
- Scraped product pricing from competitors’ e-commerce sites to stay ahead.
- Developed a strategic partnership to expand the market.
Impact
With our accurate solution, the client was able to increase profit margin by 15%. They were able to strengthen their industry position in a hyper-competitive market. By setting fair pricing, the client increases customer satisfaction by 20% and improves their buying experience. They increased business operational efficiency and reduced manual effort.
The client accurately predicted demand without any hassle. With the robust solution provided by 3i Data Scraping, the client had reduced costs and lower operational spend. They could gather prices in real-time, enabling quicker price adjustment. In a nutshell, the client gained a competitive edge.
