Newsletter
Magazine Store

50 Innovative Companies to Watch 2022

An expert helping Digitally-enabled consumer brands to better manage and optimize their eCommerce channel: DataWeave

thesiliconreview-karthik-bettadapura-ceo-dataweave-22.jpg

DataWeave’s large-scale data aggregation platform can acquire millions of data points from the Web across geographies, ZIP codes, and languages, every day. And it’s not just from web pages, but mobile apps as well, providing a comprehensive view of the online competitive environment.  DataWeave’s data aggregating engine is built to operate across complex Web environments, capable of acquiring data from diverse industry verticals and online platforms. DataWeave also maintains a historical store of all data acquired, enabling us to deliver unique, and time series insights. Once the company acquires all data points of interest from the Web, it then goes about processing it for information. Due to the inherent noise and lack of structure in Web data, DataWeave uses advanced normalization techniques to clean the data, including AI-powered image and text analytics. On organizing the data, DataWeave begins unearthing meaningful information from it. Complex machine-learning and information retrieval algorithms are used to build semantic models, which in combination with proprietary knowledge bases built since DataWeave’s inception, help the company make sense of the data. For example, by using deep-learning techniques, the company classifies products into retail taxonomy; identify product attributes based on unstructured text features, and tag complex product features like the length of a skirt, a collar's type, and more by analyzing images. This information is used in categorizing and matching eCommerce products across websites, grouping together similar products, and providing similar product recommendations.

Businesses make critical decisions that impact their top line and bottom line using the insights delivered by us. Therefore, in scenarios when the confidence score of the machine-driven math is low, DataWeave leverages human intelligence to ensure 95%+ accuracy. DataWeave’s quality assurance team takes three actions – confirms the veracity of the conclusion, investigates why the confidence score is low, and figures out a way to encode this knowledge into an algorithmic rule. This way, DataWeave has built a self-improving feedback loop which, by its very nature, performs better over time. This system has accumulated knowledge over the last 7 years of DataWeave’s operations, resulting in a very high accuracy output.

Optimize your digital marketing spends

Extend your brand reach by tracking your rank, number of results and the change in your visibility, at a ZIP-code level. Differentiate between organic and sponsored results across your product range so you know how you attract traffic. Quantify visibility on retailers like Amazon, by assigning specific weights to various tags like, Amazon Choice, Bestseller, Sponsored, etc. Drive higher sales by identifying products with high potential. Identify the optimum promotional strategy; sponsored ads, content optimization or discounts. Gain near real-time information on the categories and products promoted by your competitors, as well as the frequency and duration of their campaigns. Understand how your brand shows up against competitors for top keywords. These insights help you in better utilization of your promotional dollars across categories and websites. Gather insights to decide on promoting a single product or an entire brand banner on a category results page. Stay agile by setting alerts for listing pages so you get instantly notified if there’s a drop in your ranking. Discover what changed with a deep dive on exactly what caused the drop, such as sponsored posts from your competitors or changes in strategy. These data insights can give you a clear direction on corrective measures and next steps.

Monitor compliance and competitor promotions

Track and ensure retailers are complying with your promotions. Gather competitive insights to identify the first movers and highest discount providers. Understand the different promotional strategies your competitors are offering by monitoring discounts at across retailers and at a SKU level. Benchmark your promotions with those of your competitors to adapt fast. Discover your rivals’ pricing and promotion strategies – and how imitating they could affect your revenue. See whether your sales would benefit from using a similar approach to your competitors with our sales volume estimate models. Monitor the discounts your competitors are offering against similar products across different retailers. Tweak your promotions at a SKU and retailer level to build the desired price perceptions across different channels. Access your competitors' promotional history to gauge whether to offer sequential discounts or a big one-time discount to optimize your sales.

Data-rich marketing campaigns

Access in-depth insights sourced from customer opinions from across retailers with our constantly evolving algorithm. Build customer trust by identifying and acting on negative feedback. Benchmark your customers' sentiment against that of your competitors to understand strengths and gaps in your overall product offerings to improve your operational efficiencies. Customers often shy away from buying products that do not have sufficient feedback. Identify these products to encourage happy customers to share their reviews to help drive conversions. It’s time to take your marketing campaigns to the next level by eliminating the guesswork from decision making. Create bespoke campaigns that cater to the specific needs of your customer, with the thorough insights DataWeave provides from your ratings and reviews. Address the gaps, grievances and feedback and gain higher returns on every marketing dollar.

Meet the leader behind the success of DataWeave

Karthik Bettadapura, Co-Founder and CEO of DataWeave has over 10 years of technology leadership experience and has built and managed large-scale Web and data analytics products and platforms. Prior to co-founding DataWeave in 2011, where he drives the company's vision and business development strategy, he was part of the team that built CNBC's online property called Web18. He holds an MTech degree from IIIT–Bangalore, where his research focused on Information Retrieval, Advanced Databases, and Distributed Systems.

“Collect and analyze large scale and unstructured data from the Web to arrive at actionable investment signals.”

NOMINATE YOUR COMPANY NOW AND GET 10% OFF