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Rachit Thakur
I help startups build better products through clear UI/UX design.
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September 18, 2025
๐ŸŒฑ๐Ÿš€ Designing the future of farming with AI Hereโ€™s a sneak peek into Agro AI, a Figma UI/UX concept Iโ€™ve been working on an app designed to bring farmers smarter tools right in their pockets. The goal was to design an interface that is: โœ” Simple enough for farmers with minimal digital exposure โœ” Action-oriented with quick access to weather, crop info, pests & diseases, and market prices โœ” Clean & scalable, so features can expand without cluttering the experience Why this matters: # Too many agri-tech platforms focus on data overload. Farmers donโ€™t need 10 dashboards. They need clear, actionable insights delivered in a tap. Thatโ€™s the design philosophy behind Agro AI. This concept is still at the UI/UX stage in Figma, but the vision is bigger bridging modern design thinking with the worldโ€™s oldest profession: farming. ๐Ÿ‘‰ Curious to hear from you: Whatโ€™s the one feature that would make an agriculture AI app truly valuable for farmers? #Figma #UIUXDesign #AgroTech #FutureOfFarming #DesignThinking
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September 18, 2025
๐—ฅ๐—ฒ๐—ถ๐—บ๐—ฎ๐—ด๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐—ญ๐—ฒ๐—ฝ๐˜๐—ผ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต: ๐—” ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ ๐—–๐—ฎ๐˜€๐—ฒ ๐—ฆ๐˜๐˜‚๐—ฑ๐˜† ๐—ผ๐—ป ๐—™๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฅ๐—ฒ๐—ผ๐—ฟ๐—ฑ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด Reordering essentials should feel natural. Most of us buy the same items again and again, yet the search journey often slows us down. Typing, scrolling, navigating, and facing out of stock dead ends create friction that breaks momentum. For this concept case study, I explored how Zepto could simplify early steps and turn repeat purchasing into a smooth, habit-forming flow. ๐Ÿญ. ๐—š๐—ฒ๐˜€๐˜๐˜‚๐—ฟ๐—ฒ ๐—•๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—ฅ๐—ฒ๐—ผ๐—ฟ๐—ฑ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด A simple lift, drag, and drop interaction that lets users add or increase quantity without losing rhythm. This reduced time per item and improved repeat purchase velocity. ๐Ÿฎ. ๐— ๐—ฒ๐—ฎ๐—น ๐—”๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—”๐˜‚๐˜๐—ผ ๐—ฆ๐˜‚๐—ด๐—ด๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ Search predicts what users may need based on time of day. Breakfast, lunch, snacks, dinner. This helped users reach their first item faster. ๐Ÿฏ. ๐—ฆ๐—บ๐—ฎ๐—ฟ๐˜ ๐—ฆ๐˜„๐—ฎ๐—ฝ Unavailable items auto replace with relevant alternatives based on user habits. This kept users in the journey and lowered drop offs while improving trust in recommendations. The goal was clear. Reduce early effort, keep users moving, and create a faster, more intuitive way to reorder essentials. Full case study on Behance: https://lnkd.in/e9GiJ3Rv #design #productdesign #uxdesign #uidesign #interactiondesign #casestudy #microcasestudy #productthinking #userexperience #designtools #designprocess #uxresearch #productstrategy #designportfolio #mobileappdesign #appdesign #predictiveux #aiexperience #ecommerceux #ecommercedesign #deliveryapps #searchux #searchredesign #designinnovation #productimprovement
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November 24, 2025