Case Studies: How Top Brands Are Leveraging Digital Shelf Analytics for Growth?

Client Overview

Our customer, a leading consumer electronics brand, sought RetailGator's help to boost their online sales performance across various digital platforms (e-commerce websites, mobile shopping apps, social media stores, online marketplaces, and partner sites). They faced issues with scattered product details, price inconsistencies, and limited insight into their competitors’ pricing and rival’s promotional tactics RetailGator assisted them in gaining a market advantage through powerful digital shelf analytics.

Requirements

• Apply cutting-edge data collection and scraping methods to collect up-to-date information from multiple online selling channels that sell the same products as our electronics client.
• Build a strong analytics system to handle and interpret large amounts of digital shelf data.
• Design flexible dashboards for easy viewing of important performance metrics.
• Deliver useful insights on product visibility, pricing approaches, and competitor tracking.
• Ensure the system can grow to handle the customer's expanding product range and market reach.

Challenges

The e-commerce field brings specific challenges for digital shelf analytics:

• Quickly changing product details and prices across many platforms.
• Mismatched product information and grouping among different online electronics sellers.
• Need for instant and real-time insights to make swift, fact-based decisions.
• Difficulty in measuring performance across varied product types and markets.
• Combining data from different sources into a clear format and putting the info into easily readable formats (CSV, Excel, etc.)

Solution

We developed sophisticated web scraping algorithms to extract real-time data from major e-commerce platforms. Our data scraping experts also implemented API integrations for more reliable and efficient data access. Our scraping acumen provided drill-down capabilities for in-depth analysis of specific products or categories.

RetailGator created a scalable data processing system capable of handling millions of data points daily. The results were displayed on intuitive, user-friendly dashboards. The system developed by us helped the e-commerce client in analyzing and enhancing product titles, descriptions, and images for improved search visibility and conversion rates.

Further, they could conduct real-time monitoring of competitor pricing and promotional activities.

Results

The implementation of RetailGator's digital shelf analytics solution led to significant improvements for the e-commerce client:

• Content Inconsistencies: 30% of product listings had inconsistent information across different marketplaces. The client was able to identify and rectify the product infor which resulted in improvements in search ranking for key products.
• Pricing Gaps: The client's products were priced 15% higher than competitors on average, leading to lost sales. The optimization of prices as per competitor price monitoring resulted in increased sales.
• Stock-outs: 10% of products were frequently out of stock on major marketplaces, resulting in missed opportunities. The client was able to add more SKUs and keep the in-demand products in inventory.

Conclusion

Online shoppers browse the internet to find products from digital touchpoints created by e-sellers, unlike retail shoppers who find items on physical shelves. These digital touchpoints, act as virtual versions of product aisles in brick-and-mortar stores. RetailGator's advanced digital shelf analytics solution helped the e-commerce client gain crucial insights into their online performance. The powerful digital shelf analytics helped them drive their e-commerce success, enhance their market position, and achieve sustainable growth.

RetailGator's expertise in implementing digital shelf analytics has proven to be a game-changer for brands looking to excel in the competitive e-commerce landscape.