Nexus Analytics Asnas n Tesleṭ n Yisefka sɣur Anurag Goyal

Nexus Analytics Asnas n Tesleṭ n Yisefka sɣur Anurag Goyal d anerbaz yettwaqadren meqqren n 2026 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Uselɣu, Azuzen d Teywalt.

UzzalAselɣu· 2026

Nexus Analytics Asnas n Tesleṭ n Yisefka

sɣur Anurag Goyal

Amsaɣ: Anurag Goyal

Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Aselɣu

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Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #180968

Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Nexus Analytics Asnas n Tesleṭ n Yisefka

Nexus Analytics d asnas n tesleṭ tanuraft yettwaxedmen i tkebbaniyin n tnezzut tiliktrunit. Tanarit-a tesseqdac timudmin timeqqranin n tutlayt akken ad tessefru isefka n tḥanut deg wakud ilaw yerna ad d-tessken igzulen yuran uqbel isektazalen imenza. Taɣessa i yesbedden tamuɣli d tamezwarut tesbeggin-d ayen ur nemyezg ara akked tegnatin n unerni si tazwara. Agrudem aberkan s tliẓriyin n yisefka iceεlen yessenqas ɛeggu n wallen deg temsirin n tesleṭ iɣezzifen. Udlifen ttwabnan s React akked D3.js yerna ttɣimin-d d ifawen ɣef yigdilen imecṭaḥ n unali. Iwellihen zemren ad ttusnasen srid seg tfelwit n usenqed, ayen yezdin tasleṭ akked tigawt.

Asmekti

Ɣef Tarbaḥt A' Design Award n Uzzal

Nexus Analytics Asnas n Tesleṭ n Yisefka d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Nexus Analytics Asnas n Tesleṭ n Yisefka ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: Nexus AI is a predictive analytics platform that uses LLMs to interpret e-commerce data in real-time. Unlike static reporting tools, it features an "Insight First" architecture that prioritizes high-impact anomalies and growth opportunities over standard metrics. The interface employs a "Dark Mode" aesthetic to reduce eye strain during deep analysis, while vibrant data visualizations are used to highlight critical ROI trends.
Tigejdiwin & Akemmus: Nexus AI is optimized for iOS and Android environments, utilizing a variable typographic system for maximum legibility of financial figures. Technical properties include AES-256 data encryption, real-time API integration with major e-commerce platforms, and a low-latency rendering engine for high-density data visualizations. The interface adheres to an 8px grid system, ensuring perfect alignment across diverse screen resolutions and aspect ratios.
Tibzimin: AI Dashboard, Predictive Analytics, App Design, E-commerce, SaaS Design, FinTech UX, Data Visualization, LLM Interface, Mobile Analytics, Business Intelligence, Actionable Insights.
Tasnakta n Ufares: The platform is engineered using a modern tech stack optimized for real-time data streaming. The front-end is built with React and D3.js for high-performance, interactive data visualizations. The back-end leverages Python-based LLMs to process millions of data points, translating them into natural language insights. The mobile experience utilizes a native-first responsive framework to ensure complex charts remain legible and interactive on small-format touch devices.
Asewḥel n Usnulfu: The primary challenge was "Data Translation" - turning millions of cold data points into human-readable narratives without losing precision. Balancing a minimalist UI with the high information density required for financial tools necessitated a strict hierarchy of information. This was mastered through the "Pinned Cards" system, which allows users to customize their workspace and focus solely on the metrics that impact their specific business goals.
Anadi: Research focused on "Decision Fatigue" in SaaS environments, revealing that users spend 70% of their time searching for data rather than interpreting it. Nexus AI solves this by reversing the flow: the AI presents the interpretation first. Post usability analysis and AI-driven analysis, results showed a 50% reduction in "Time to Action" and proving that natural language summaries significantly enhance executive decision-making speed.
Aseḥbiber: Nexus AI was conceived to democratize complex data science for e-commerce entrepreneurs, aiming to transform passive reporting into an active strategic partnership. Driven by the concept of "Actionable Intelligence", the platform utilizes Large Language Models (LLMs) to filter noise, providing immediate clarity and growth directives. This design directly addresses the limitation of traditional dashboards, which often overwhelm users with raw metrics rather than usable insights.
Tanzagt n Usenfar: Designed in 2025, USA. This project was completed within a three-month timeframe, encompassing research, prototyping, and usability testing to address decision fatigue in analytical tools.
Tanila n Umahil: The user interaction follows a proactive-nudge principle to replicate "Problem Solution" logic. Upon entry, the "Top Insights" module immediately surfaces critical business changes using natural language processing. Users can "Deep Dive" into specific cards, such as Revenue Trends or Traffic Sources, through intuitive gestural navigation. The flow concludes with "One Tap Application," where AI-generated recommendations (like increasing ad spend) can be acted on directly from the dashboard, closing the loop between insight and action.
Imsuren n Tugniwin: Anurag Goyal