𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐄 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐛𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐬𝐮𝐫𝐟𝐚𝐜𝐞 @PrismaXai 𝐓𝐡𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬 𝐝𝐨𝐧’𝐭 𝐥𝐢𝐞 According to 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐚 𝐫𝐞𝐩𝐨𝐫𝐭𝐬, global e-commerce sale hit $𝟔.𝟑 𝐭𝐫𝐢𝐥𝐥𝐢𝐨𝐧 in 𝟐𝟎𝟐𝟒 and projections show it will exceed $𝟖 𝐭𝐫𝐢𝐥𝐥𝐢𝐨𝐧 by 𝟐𝟎𝟐𝟕. crazy numbers right.. what this means literally is there will be a great surge in orders , and more orders mean more picking, packing, sorting, and delivery tasks. 𝐁𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤𝐬 𝐚𝐧𝐝 𝐏𝐚𝐢𝐧𝐩𝐨𝐢𝐧𝐭𝐬 But then again, the e-commerce industry face major pain points like ➜ labor shortages in warehouses ➜ rising fulfillment costs ➜ safety issues from repetitive or hazardous tasks ➜ high error rates from manual handling Even a 𝐌𝐜𝐊𝐢𝐧𝐬𝐞𝐲 𝐬𝐭𝐮𝐝𝐲 by attest to up to 70% of warehouse operations are still manual, and companies are losing billions yearly to inefficiencies and human-error returns this means only one thing.. If e-commerce is going to keep up with global demand, it needs something faster, safer, and more scalable. It needs more robots 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐱 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 )𝐰𝐡𝐞𝐫𝐞 𝐰𝐞 𝐚𝐫𝐞 𝐚𝐭 𝐭𝐡𝐞 𝐦𝐨𝐦𝐞𝐧𝐭) there’s an 𝐢𝐧𝐜𝐥𝐢𝐧𝐢𝐧𝐠 𝐬𝐡𝐢𝐟𝐭 of the use of robotics in major e-commerce mogul brands like 𝐀𝐦𝐚𝐳𝐨𝐧 and 𝐀𝐥𝐢𝐛𝐚𝐛𝐚 just to mention a few It’s no doubt that robots are no longer experimental, they are the new standard 𝐖𝐡𝐚𝐭 𝐫𝐨𝐛𝐨𝐭𝐬 𝐜𝐚𝐧 𝐝𝐨 Robots can help in tasks such as 𝐩𝐢𝐜𝐤𝐢𝐧𝐠 and 𝐬𝐨𝐫𝐭𝐢𝐧𝐠, 𝐩𝐚𝐥𝐥𝐞𝐭𝐢𝐳𝐢𝐧𝐠, packing, shelf moving, end mile delivery, quality inspections 𝐀𝐧𝐨𝐭𝐡𝐞𝐫 𝐛𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 despite the rise of warehouse robots, there’s one major problem the industry still cannot solve Robotic data!! Robots actually need data to function They need real world teleoperation data generated by real people controlling them in real environments But why is this? this is because robotic intelligence is not like ChatGPT or image models, it cannot grow from scraped text. It grows from human actions, decisions, corrections and demonstrations This is where many robotic companies miss it because their focus is more on the mechanical parts rather than the intuitive 𝐖𝐡𝐲 𝐩𝐫𝐢𝐬𝐦𝐚𝐗 prismaX is the hub where everything falls in line. it’s a centre point for it all, turning global human skills into teleoperation data that teaches robots how to work in warehouses, fulfillment centers, and retail environments Prismax solves three major problems 𝐃𝐚𝐭𝐚 𝐬𝐜𝐚𝐫𝐜𝐢𝐭𝐲 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 PrismaX crowdsources important data (from real world operators) like how to carefully grip fragile packages, sort items and avoid collisions this means faster training, more diverse data, robust robotic performance 𝐥𝐚𝐛𝐨𝐮𝐫 𝐚𝐧𝐝 𝐚𝐝𝐚𝐩𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 throigh data from prismaX, robots can adapt in ware houses to things like identifying new package types, new aisle layouts, SKUs just to mention a few similarly prismaX helps fix the labour gap by enabling remote work,flexible hours, global participation and safer digital teleoperation jobs 𝐖𝐡𝐚𝐭 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐞 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 Robots can learn new tasks, labor shortages dissappear, operating cost cuts reach 35-50% 𝐅𝐢𝐧𝐚𝐥 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 I believe the ecommerce is a very inportant industry that needs to scale when it comes to product control, packaging and delivery robotic advancement can help in moving this industry forward if it in itself can improve . I think prismaX coordination system will really offer a sustainable way to make that happen
