Digital Shelf Analytics

XPLN unlocks valuable insights from e-commerce data and reveals the potential it holds. As a premium provider of comprehensive software solutions for Digital Shelf Analytics (DSA), Dynamic Pricing, and Competitive Intelligence, the Stuttgart-based company enables brands and retailers to make confident decisions about their offering, positioning, and product presentation in e-commerce, helping them to maximize performance.

The problem: More channels, high market dynamics, strong competition, lack of transparency, cost pressure – the challenges in e-commerce are difficult to handle, especially without the right tools. Retailers and brands need to optimize their offerings, processes and strategies to be able to stay competitive. The XPLN suite provides critical market data and insights for confident decisions in all these areas to boost existential KPIs.

The XPLN Suite contains several modules, each focussing on a specific topic. All have the automated collection and analysis of real-time market data from e-commerce channels worldwide in common. Market data is consolidated into a central platform and presented in dashboards.

The DSA modules cover the areas product availability, product content, rankings, retail media, reviews and pricing. Using our Dynamic Pricing solution and integrations with other systems (e. g. Retail Media, PIM), data-driven actions can be triggered to improve processes and product performance directly. The Competitive Intelligence modules offer features like large-scale full catalog analyses in high frequency, entire competitor portfolios comparisons, and AI-powered product matchings for same and similar products to get comprehensive insights into competitor products and opportunities for better differentiation, positioning, and ultimately performance.

These versatile solutions put retailers and manufacturers back in control, helping them protect their brand image, gain a competitive edge and allocate resources efficiently.

XPLN is the trusted partner for channel insights, providing tailored support to drive our customers' e-commerce business forward. Developed to meet the needs of large enterprise customers, our expertise is trusted by renowned companies like Gardena, Stihl, and Galaxus. XPLN adheres to the highest standards of data quality and security, giving clients the confidence to make informed decisions. Service Level Agreements (SLAs), German servers, GDPR compliance, and carbon neutrality contribute to this. Unlike most competitors, XPLN handles large volumes of products/data at high frequencies with ease. Over 7.1 million data points for hundreds of thausands of products are monitored and analyzed every day. Compared to other tools, XPLN is completely independent and not dependent on another software (e.g. PIM system) nor limited by channel ristrictions (open for all marketplaces, online shops and comparison sites)

With channel insights, companies can optimize key performance indicators critical to success through the new transparency and understanding of product presentation and performance. This includes: higher sales and better margins, higher visibility for products and brands, securing brand integrity and brand image, higher conversions, lower return rates, better customer experience and lower purchase riks, and higher ROAS.

AI-based content analyses to detect errors or deviations from the aspired product presentation for every product on every digital sales channel. Based on the provided expected content from the brand, our algorithm compares the content (images, description, bullets, attributes etc.) found on marketplaces/online shops and provides a completess score and a compliance score that show the similarity of the actual content compared to the expected content for each element.

Qualitative analysis of customer reviews through AI: All customer reviews are collected centrally in the XPLN platform. AI analyses (sentiment and semantic) provide a sentiment score, a summary of all reviews from all sales channels, and best/worst features that can be defined by the brand (e.g. price, quality, features etc.).

AI product matching for same and similar products enables the identification of same and similar products from competitors when other identification methods like EAN/GTIN aren't possible. It allows, for example, a retailer to identify and compare a competitors own brand with their own brand. Brands can identify similar products across channels and compare all relevant product information.

Monitoring of keyword and category rankings: Our software tracks a brand's relevant keywords and categories on all sales channels at any desired frequency to unveal the organic and sponsored rankings of the brand's products compared to its competitors. The metrics Digital Share of Shelf and Share of Voice show the brand's share of products in the results page for organic and sponsored rankings respectively. Based on this information, brands can identify products in need of improvement or save retail media spendings for sponsored ranks if the organic ranking is already good.

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