urelimitless

Nkem sells fabric in Enugu. Yesterday she paid Meta ₦12,500 for ads. Which ad made her money? She can't tell. Her ads open WhatsApp chats. Some people buy. Many ask "last price?" and vanish. The ones who pay send a screenshot that could be fake. Sales Desk answers every chat for her, and ties every naira that lands in her bank to the ad that brought the customer. HOW A SALE GOES - A customer taps her Ankara ad. WhatsApp tells Sales Desk which ad sent them. Muse Spark answers from her real price list, and the total is worked out in code, so the price is never wrong. - The customer sends a voice note. Muse Voice Transcribe turns it into text, and the answer comes back in seconds. - They pay and send a screenshot. Muse Spark reads it for Nkem, but a screenshot never confirms money. Only her bank's signed alert email does, and then the customer hears "payment received". - Discounts, bulk orders and complaints go to Nkem. Follow-ups go out by themselves when a customer goes quiet. EVERY MORNING, ONE BRIEF - Each ad's spend sits next to the paid orders it really brought in. In the demo, Aso-oke paid back ₦35 for every ₦1. The lace ad spent ₦6,000 and sold nothing. - Muse Spark reads what the lace customers wrote ("4 of 5 asked for last price") and suggests one thing to try. - Muse Image drafts a new lace ad picture, with her real price printed on it. - She taps the mic and asks, "Which of my ads is losing money?" The answer is read back to her, built only from her own numbers. ON THE SHOP FLOOR A shelf camera counts her stock with SAM 3.1. 9 pieces at 9am, 7 by evening, only 1 paid for in the chats. Sales Desk tells her to check the shop floor before she restocks. WHAT'S REAL TODAY Every Muse and SAM 3.1 call in the video ran live on the Meta Model API from Nigeria, and 45 tests pass. The shop, the ad spend and the shelf photos are samples. Next: one real seller's WhatsApp number and ad account.