Simplify the Complicated
EVS (evs.software) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among SaaS brands, Technology brands, Manufacturing brands, in the 48th percentile of 19516 SaaS brands.
EVS (evs.software) is a supply chain software company founded in 1986 and headquartered in Ängelholm Municipality, Sweden. It develops iOS-powered software products including a Warehouse Management System (WMS), Real-Time Location System (RTLS), and Yard Management System (YMS) under the mobe3 product line. EVS serves industries such as warehousing, airports, pharmaceuticals, and production facilities, positioning itself as a modern innovator focused on usability, visibility, and operational control.
| Brand Name | EVS |
|---|---|
| Domain | evs.software |
| Industry | SaaS, Technology |
| Founded | 1986 |
| Headquarters | Ängelholm Municipality |
| Main Competitors | Manhattan Associates (79/100), SAP Extended Warehouse Management (95/100), Körber Supply Chain (76/100), Blue Yonder (83/100), Infor (93/100), Softeon |
Moz Domain Authority 29/100 vs category average 35 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
EVS appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "EVS creates modern, iOS-powered supply chain software built for speed, visibility, and control. Explore mobe3 WMS, RTLS, and YMS-all built to simplify the complicated." (Meta description: 24 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on Instagram, YouTube, GitHub; no detected presence on X (Twitter), LinkedIn, Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
EVS's main competitors in SaaS: Manhattan Associates (79/100), SAP Extended Warehouse Management (95/100), Körber Supply Chain (76/100), Blue Yonder (83/100), Infor (93/100).
Sources: EVS official site
EVS offers three primary software products under the mobe3 brand: a Warehouse Management System (WMS) for managing warehouse operations, a Real-Time Location System (RTLS) for tracking assets and inventory in real time, and a Yard Management System (YMS) for managing yard and transportation logistics. All products are built on iOS and are designed to serve supply chain operations in warehouses, airports, pharmaceuticals, and production facilities.
Sources: EVS official site
EVS has limited AI-search visibility, scoring 37/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 15, recommendation 68). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: EVS official site
EVS was founded in 1986. EVS operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
EVS is headquartered in Ängelholm Municipality. EVS operates in the SaaS category.
Sources: Wikidata
EVS develops and delivers iOS-powered supply chain software tools. Its products include a Warehouse Management System (WMS), a Real-Time Location System (RTLS), and a Yard Management System (YMS), all marketed under the mobe3 product line. The company aims to simplify complex warehouse, yard, and production operations by providing software with strong usability and real-time operational visibility.
Sources: EVS official site
EVS scores 68/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: EVS official site
EVS is a supply chain software company founded in 1986 and headquartered in Ängelholm Municipality, Sweden. It operates under the domain evs.software and develops modern, iOS-powered software solutions designed for warehouses, yards, and production facilities. EVS positions itself as a modern supply chain software innovator focused on speed, visibility, and control across logistics and operational environments.
Sources: EVS official site
EVS can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: EVS official site
EVS targets supply chain managers operating in warehouses, airports, pharmaceutical facilities, and production environments. Its software is designed for organizations that require real-time visibility and operational control across complex logistics and manufacturing supply chains.
Sources: EVS official site
EVS is known for its modern, iOS-powered supply chain software, particularly its mobe3 WMS, RTLS, and YMS products. The company emphasizes out-of-this-world usability and radical visibility as differentiators, positioning its tools as sleek and powerful alternatives for managing warehouse, yard, and production floor operations.
Sources: EVS official site
EVS scores 37/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
EVS has a weak AI-visibility profile at 37/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (68/100) and its weakest is trust (15/100). It benefits from a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 29/100 and thin schema.org structured data.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to EVS: EverTrue (74/100), EverChain (74/100), Exacare (74/100), Exceleron (74/100).
A step up - brands to learn from: Zuppler (81/100), Zuper (81/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.