ChatBlu has secured 500,000 dollars in pre-seed funding to launch an autonomous artificial intelligence (AI) agent that handles inventory across multiple storefronts. The startup, co-founded by twenty-year-old Kristian Lukauskis of Miami, twenty-year-old Alexander Dillon of London, and thirty-two-year-old Sairam Vangapally, says sellers on Amazon, Shopify, Etsy, and WooCommerce will be able to run key tasks with a single plain sentence.
Global retail loses an estimated 1.8 trillion dollars each year to overstocking and stockouts. Many merchants still repeat the same edits across several dashboards, draining time and creating avoidable errors. ChatBlu’s early tests point to potential conversion gains of up to twenty percent through product listing optimization once stores connect to the system. A public launch is slated for September 2025, beginning with English-speaking markets and followed by an expansion into Hispanic regions.
What The Funding Means for Sellers
Investors, led by Matador Ventures Capital, backed a simple promise. A store owner writes one instruction, the agent executes the work across every connected channel, and a confirmation arrives that spells out what changed. That pattern turns repeat edits into a single moment of intent.
Promotions often collapse due to delays. A price cut that lands on one site at noon and reaches another by evening leaves money on the table. A unified instruction helps prices, copy, and timing stay in step. Stock counts then move together as orders flow in, which lowers the risk of overselling on one platform or letting inventory sit unseen on another.
Merchants measure value in hours saved and mistakes avoided. ChatBlu’s case leans on both. Faster edits shorten the path from decision to buyer, while aligned pages present cleaner information at the moment of choice. “Store owners should speak in plain language and see the outcome appear across every storefront,” says Lukauskis. “Inventory belongs in the background so founders can build.”
How The Agent Works in Practice
Picture a Friday sale. A label plans a weekend markdown on winter jackets, wants the new copy visible everywhere, and needs stock levels to update as traffic hits. One sentence sets that in motion. The agent reads the instruction, applies the price change, mirrors the text, and updates counts in near real time across Amazon, Shopify, Etsy, WooCommerce, and others.
Confirmation matters as much as speed. Sellers receive a record of changes that shows where edits landed and when. Guardrails can be set around minimum prices, discount windows, and sensitive categories, so commands stay within policy and brand rules. Teams keep an eye on results rather than babysitting dashboards.
The system uses natural language to lower the barrier for teams that do not have technical staff. New sellers can connect accounts, set preferences, and delegate the routine work. Experienced operators can keep higher-level strategy in-house while handing seasonal edits, catalogue polish, and price tuning to the agent. “Say what you want, let the agent carry it out, and keep focus on product and customers,” says Dillon.
Who Is Building It and When It Launches
The people behind the product bring a mix of youth and seasoned build experience. Lukauskis ran several online ventures before his twenties and now steers product direction with Dillon, who studied at Loughborough University and manages partnerships and press. Chief Technology Officer Sairam Vangapally, age thirty-two, worked on data systems at Amazon and Shutterfly, which anchors the project with large-scale engineering practice.
Genoa Entrepreneurship School provided the setting for ChatBlu’s transition from concept to company within the 2024 to 2025 cohort. The program supports founders while they remain in school and connects them with mentors from top tech firms. Those sessions helped the team focus on features, refine language, and set a build cadence that matched investor expectations.
Launch timing carries real stakes. September 2025 will test the agent under live traffic, with real catalogues and real buyer surges. Early partners in fashion and seasonal goods will stress the system where timing and clarity matter most. Success leads to fewer late edits, steadier checkout rates, and teams that spend fewer evenings fixing the same fields again.
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