AllyNext AI Turns Seller Know-How Into Workflows

AllyNext says its new AI Business Assistant can capture how employees work and turn those methods into reusable tools for ecommerce teams, keeping business knowledge in a company-managed system. The Los Angeles-based company introduced the product for global sellers and brands, including Amazon sellers and TikTok sellers. It’s in an invitation-only beta.

“Our goal is to become the world’s first specialized AI Business Assistant for ecommerce—helping Amazon sellers, TikTok sellers, and global brands operate with the same clarity and speed they expect from a trusted assistant,” the AllyNext team said.

The company describes a system built around staff expertise, operating procedures and marketplace data. Sellers can add their own knowledge and standard operating procedures, or SOPs, to give assistants context. AllyNext says the product is designed to preserve working practices as employees and roles change. In its account, knowledge once held by individual workers can become repeatable and shared across a team.

Turning Work Into Reusable Skills

AllyNext says the assistant brings together ecommerce data, ready-to-use Skills and customizable assistants based on each company’s procedures. Its data foundation covers Amazon, TikTok, Shopify, Walmart, eBay, YouTube and Reels. The company said it built four core foundations over five months: long-term memory, an ecommerce-specific large language model, a proprietary data foundation and shared knowledge bases.

The product has five capabilities. One lets sellers create specialized assistants through conversation, without lengthy training or complex technical setup. Those assistants are designed to work 24/7. Skills and Model Context Protocol integrations support product research, content creation, data analysis and store operations, while marketplaces for Skills and expert agents let sellers combine capabilities into workflows.

Another feature turns employees’ working methods into reusable Skills, assistants and knowledge assets. Long-term memory aims to retain business context, preferences and established practices across tasks. Company knowledge bases and conversation management are meant to keep work aligned with current goals and constraints, including brand standards, shared definitions and operating boundaries. The Business edition brings these tools together in one AI environment for a team.

Automation Across Marketplaces

AllyNext lists seven example workflows. They include creating business or customer-service assistants, analyzing multiple marketplaces and researching products with FastMoss, global Amazon data and other sources. The system can draft Amazon product titles based on search terms, shopper intent, product uses and buying scenarios. It can also analyze TikTok videos’ opening hooks, shot sequences, pacing and messaging to inform scripts.

Other listed tasks link script development to product assets and AI video production; identify creators using business-relevant criteria; draft personalized outreach and track replies; and generate listing feature bullets, product descriptions, main images and detail images. The company says the capabilities can also support customer service, voice-of-customer analysis and advertising. These functions come from the company’s description, not independent testing results.

Sellers can upload SOPs to create assistants for specific roles. Scheduled tasks and workplace messaging integrations are designed to connect those assistants with ongoing operations. AllyNext says its technical system combines a domain-specific model post-trained on proprietary marketplace data and seller workflows, evaluation-driven recursive self-improvement, long-term memory and integrations through Skills and MCP. The company plans to invest further in its ecommerce model, memory, long-running tasks and recursive self-improvement.

The release says AllyNext held five small-group sessions and merchant events in Los Angeles and other U.S. cities to gather feedback from ecommerce operators. Similar events are planned in China and other key ecommerce markets. The release describes operator feedback sessions, but doesn't report a worker-led response or mutual-aid effort. A free trial with sign-up credits is offered, along with Personal and Business plans; access remains invitation-only during beta.