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Yango Showcases AI Robots Amid Rising Fulfillment Costs
The company is debuting the high-tech solutions at this year’s Seamless Middle East event, where attendees can experience live demonstrations.
Global tech company Yango is debuting its AI-driven warehouse robotics and pick-and-place solutions at the Seamless Middle East event, which is currently running in Dubai (May 14-16). The technologies aim to combat the rising fulfillment costs that are burdening the e-commerce, retail, logistics, and manufacturing sectors.
In e-commerce, fulfillment now represents one-third of all operating expenses. Global giant Amazon saw fulfillment costs rise from 31% of net sales in 2021 to 36% in 2023. Yango’s solutions could provide a much-needed remedy to these escalating figures.
At Seamless Middle East, attendees can experience live demonstrations of Yango’s robotic pick-and-place hardware. This technology leverages “advanced computer vision” to allow stationary robots to perform like human operatives while still managing to move 800 items per hour.
Yango has also introduced stock-taking, goods, and pallet-moving solutions to streamline inventory management and fulfillment. The company’s robots can autonomously navigate warehouses and work together with other machinery to get tasks done faster and more accurately.
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Alexei Filippov, Head of Global Business Development at Yango Robotics, said: “As fulfillment costs continue to rise, our warehouse robotics solutions come at a crucial time to help businesses not just survive but thrive. Our new robotics pick-and-place platform, mobile warehouse robotics solutions, and other technologies show Yango’s commitment to innovation and efficiency [and] we’re excited to debut [them] at Seamless Middle East”.
Yango is also showcasing further technologies at the exhibition, including autonomous delivery robots and the AI-powered White Label App and AI Shelf Monitoring System for retail applications.
To learn more about Yango’s solutions and their capabilities, visit the company’s stand (H2-G36) during Seamless Middle East, running until the end of May 16, or find Yango’s thought leaders at one of the event’s panel sessions.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
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