Top 10 Data-Driven E-Commerce Technologies in 2018

Whether you’re a small e-commerce startup or a multinational online sales platform like Velvet Caviar, your need for accurate data analysis is at a premium. You need customer and visitor data in order to ensure you can target your visitors’ needs effectively, as this both leads to happier, better served customers and increased revenues for your organization. This makes it imperative to secure access to quality data analysis technology.

Yet not all data analytics tools are created equal. You need to know which of the countless hundreds of data analysis companies available are the ones that will bring you the most success through providing you access to their suites of analysis tools, after all. Don’t worry, though; that’s why we’ve combed through the internet and researched the best e-commerce technologies that rely on data analytics. Here’s a list of the top ten data-driven e-commerce technologies for 2018.

Source: Pexels.com

Shopify

The Canadian-based e-commerce platform allows businesses to set up their online stores. Founded in 2004, Shopify lets online businesses organize their products, customize their storefront, accept credit card payments, track and respond to orders and much more. The platform is constantly keeping up with the pace of evolving ecommerce trends and technologies, including the introduction of Shopify Analytics as an additional service for its customers. Shopify’s analytics and reports allow businesses to review their store’s recent activity, gather data and exclusive information about their visitors, and analyze their store’s transactions.

Amazon

Amazon is probably the best-known e-commerce platform out there, especially when it comes to innovation. Over the years, Amazon has continuously proven to be ahead of its time in the adoption and development of groundbreaking solutions that benefit both its customers and the platform. The insights provided by Amazon Analytics services, in fact, represent a solid option for anyone looking to leverage collected data for e-commerce, including Amazon itself. The company’s “customer who bought this item also bought…” feature for product recommendations, for example, has proven to be an extremely effective tool for feeding users’ targeted search results  Considering how successful the company is in targeting customers, its data analysis options are likely on point.

Magento

An open source ecommerce platform, the secret of Magento’s success lies in its reliability and scalability. The company knows that today’s consumers and their buying patterns are changing by the minute and thus commits in helping businesses to adapt and thrive thanks to its wide range of highly-trained technology and solution partners. Magento Business Intelligence lets businesses analyze their top customers, products, and promotions in order to find new growth opportunities.

RetailNext

Online retailers’ growing need for actionable insights on consumers interest and habits is what drives RetailNext’s impressive technology. Video analytics, on-shelf sensors, beacons, and data from point-of-sale systems are only a few of RetailNext’s analytics tools provided to businesses. RetailNext integrates with a large number of physical and digital data sources inside and around customer’s store that are organized, analyzed, and visualized to provide a unified and instant view of the stores in real time.

Roundforest

As far as comprehensive e-commerce solutions go, Roundforest has one of the most complete suites of tools. This Tel Aviv-based company empowers consumers by simplifying their research and enabling more informed shopping decisions. The tools it offers specifically for e-commerce are well-developed and effective and offer a high level of value to those in need of good, reliable e-commerce data analysis.
Roundforest reaches over 40 million monthly users through its portfolio of shopping assistance websites and content platform for large publishers and, using advanced machine-learning technologies, it converts potential shoppers into customers efficiently and at scale.

Metrilo

E-commerce analytics is just one facet of what Metrilo can do. The company, founded in Bulgaria and with offices in San Francisco, also offers e-commerce CRM as well as automated email marketing features, making it another contender for a multifaceted data analysis platform in an e-commerce setting. This is an increasing trend in e-commerce data analysis tech, with more companies offering comprehensive toolsets.

Celect

Celect is a cloud platform that helps retailers understand customers’ interest and buying trends while automatically adjusting inventory based on demand for the retailer’s products. The platform makes use of predictive analytics and machine learning for the optimization of inventories throughout the merchandise planning and allocation process. Businesses can benefit from true demand prediction thus improving product assortments’ performance, merchandise buys, store allocations, and online order fulfillment decisions.

Clicky

A possible option for smaller to medium-range e-commerce companies is Clicky, which features real-time web analytics technology. Developed by Portland, Oregon-based Roxr Software, Clicky has been going strong since at least 2010, and the development team has been hard at work updating the tool’s core capabilities over the entirety of Clicky’s life cycle.

Webtrends

Easily the great-grandpa of e-commerce analytics, Webtrends has been around since the early 1990s. However, it’s an excellent tool for smaller e-commerce outfits and startups, especially those with extremely tight budgets. Webtrends is also located in Portland, though it has offices across the globe.

Woopra

Once upon a time, Woopra was a strict analytics tool, but has since re-positioned itself into consumer analytics. This development has made it ideal for e-commerce data analysis. It excels at site visitor and customer data aggregation tools, with its developers working out of its San Francisco offices.

This post is part of our contributor series. The views expressed are the author’s own and not necessarily shared by TNW.

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