SKU-Level Price Data Scraping API for Indian E-Commerce
SKU-Level Price Data Scraping API for Indian E-Commerce helps track Flipkart, Myntra & Ajio prices with 35% faster real-time updates and insights.
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In the competitive fashion industry, real-time shelf visibility and pricing intelligence are no longer optional—they are critical drivers of sales growth. As more fashion retailers embrace digital platforms, staying ahead requires a deep understanding of market dynamics and in-store execution. This case study explores how Actowiz Metrics empowered a leading fashion brand to unlock sales growth by using Digital shelf analytics for Fashion Brands. With Actowiz’s advanced analytics tools, the client was able to track online shelf presence, optimize pricing strategies, and outperform competitors in both offline and eCommerce segments. This transformation was powered by accurate data extraction, actionable insights, and ongoing performance tracking, turning shelf data into revenue-driving decisions. Let’s dive into how our platform enabled this brand to gain better control over product positioning and competitive benchmarking in a highly volatile retail environment.
The client is a well-known mid-sized fashion brand operating across Southeast Asia with a growing presence in omnichannel retail. With hundreds of SKUs spanning men’s, women’s, and unisex categories, the brand had recently expanded to leading online fashion marketplaces and partnered with multiple offline chains. Despite high product visibility, sales conversion remained inconsistent across channels, especially for seasonal launches and promotional campaigns. They needed a more intelligent solution to understand how their products were performing digitally and how those insights could drive better pricing and stocking strategies. The brand approached Actowiz Metrics to improve its performance monitoring systems and increase its ROI from digital retail operations. Our goal was to offer real-time visibility into how their products appeared online and to assist in benchmarking against their direct and indirect competitors across multiple platforms.
The fashion brand faced multiple challenges in aligning its digital shelf performance with its marketing and inventory goals. First, they lacked a consistent mechanism for Fashion product shelf monitoring across online marketplaces and their own digital storefronts. As new collections were launched, product visibility was irregular, and SKU compliance across platforms was not uniform. Secondly, assortment gaps were leading to missed sales opportunities—specific colors, sizes, or variants were frequently unavailable or incorrectly categorized, making Fashion product assortment tracking a complex issue. The brand also had no systematic process for competitor tracking, making it difficult to adapt to dynamic price changes and discounts offered by rival labels. Thirdly, pricing optimization was limited to internal forecasts and static competitor audits, which didn't reflect real-time market changes. Their retail team lacked access to granular metrics such as product page ranking, discount visibility, and pricing discrepancies. This gap was even more critical in fast-moving segments like seasonal apparel and promotional campaigns.
Actowiz Metrics implemented a complete Digital Shelf Metrics Extraction solution customized for fashion product tracking across various online and offline platforms. By using our proprietary engine to Scrape Fashion Retailer Digital Shelf Data, we enabled the client to get a live view of how every SKU performed on multiple retail shelves. Our platform also allowed the brand to monitor the appearance and positioning of their products across leading fashion marketplaces and competitors, providing actionable intelligence. We integrated our tools with their merchandising team to run advanced Fashion sales data analysis, identifying underperforming items and aligning stock placement with consumer demand. Additionally, our Apparel pricing & promotion analysis software helped automate dynamic pricing strategies based on competitor activity and consumer engagement. This ensured timely promotions and accurate discounting during high-stakes retail windows. Actowiz also deployed our advanced Fashion market competitor analysis tools to assess how rival brands were positioning similar products in terms of pricing, reviews, and visibility. Furthermore, our Fashion Dark Store Monitoring module tracked real-time stock availability and regional price differentiation. With Digital Shelf Price Scraping, the client could detect any sudden price drops or unauthorized discounting, protecting both their brand equity and channel compliance.
“Partnering with Actowiz Metrics has fundamentally changed how we view and act on retail shelf data. Their digital shelf analytics system gave us the power to act fast, align our strategy, and improve ROI across every channel.”
— Retail Strategy Head, Leading Fashion Brand (Southeast Asia)
Actowiz Metrics enabled the fashion brand to transform raw shelf and pricing data into business intelligence, resulting in measurable improvements in digital visibility and sales performance. Through precise Digital shelf analytics for Fashion Brands, the client gained an edge in real-time pricing, competitive positioning, and product availability tracking. By leveraging our end-to-end analytics suite, they streamlined assortment decisions, protected brand consistency, and capitalized on key retail moments across both digital and offline shelves. As digital retail continues to expand, such analytics capabilities are no longer a luxury but a necessity for fashion brands aiming to thrive in a dynamic and price-sensitive marketplace.
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