Intelligence
Your Backbone for AI-Driven Shopping Experiences
In the emerging world of agentic commerce, AI agents execute entire shopping journeys. OneStock transforms your Distributed Order Management into the authoritative source of operational truth that AI agents depend on to make promises your supply chain can actually keep.
Transform your retail operations with AI-ready architecture
Establish Operational Truth
Elevate data quality into operational truth by ensuring your availability, your delivery promis and your oder datae are clean, accurate, and actionable. AI agents confidently make only promises your supply chain can actually keep with real-time, structured signals.
Earn Algorithmic Trust
Boost algorithmic visibility through promise integrity. OneStock feeds external agents real-time availability and delivery data. By consistently keeping commitments, your brand earns algorithmic trust, making AI agents prioritize your products over competitors.
Deliver Hyper-Personalized Pre-Purchase Experiences
Deliver intent-driven execution with the OneStock MCP server. Build safe, governed conversational agents that allow shoppers to state specific needs and instantly receive tailored, guaranteed recommendations your system can flawlessly fulfill.
Automate Post-Purchase Resolution
Slash WISMO queries with autonomous with the OneStock MCP server. Conversational agents can access to all post purchase MCP tools.
Agent-Ready Platform Capabilities
Four foundational features that power agentic commerce
MCP Server Agent Layer
Traditional API stacks are too brittle for autonomous agents. OneStock introduces an intent-centric Model Context Protocol server that translates complex backend processes into safe, discoverable, machine-legible tools. This governed capability layer allows AI agents to execute multi-step workflows securely.
Event-Driven Real-Time Inventory
AI agents make absolute decisions based on received data and cannot tolerate batch-updated or probabilistic estimates. OneStock utilizes event-driven architecture to provide near real-time, unified network-wide availability. This authoritative signal ensures agents only recommend items that can actually be fulfilled.
Predictive Delivery Promise Engine
In agentic commerce, the promise itself becomes the conversion driver. OneStock’s event-driven promise engine continuously evaluates real-world constraints—inventory position, carrier performance, node capacity—to calculate highly accurate, guaranteed commitments. AI agents confidently present ambitious, executable delivery windows.
Authoritative Master Order Data
To support AI agents before, during, and after purchase, an unbroken source of operational truth is essential. OneStock acts as the ultimate master of order data, tracking the entire lifecycle from intelligent routing through fulfillment, splitting, and returns with centralized visibility.
Agentic Commerce Use Cases
Pre-Purchase on ChatGPT
Enable customers to discover and purchase products directly through ChatGPT. OneStock provides real-time inventory and delivery promise data through ACP protocol.
Pre-Purchase on Gemini with UCP
Connect to Google's Universal Commerce Protocol through Gemini. OneStock provides structured, machine-readable data that Google's AI agents need to accurately represent your inventory, and delivery capabilities.
Owned Channel AI Chatbot
A customer uses your embedded AI chatbot: "I need a formal navy dress for a wedding in Chicago this Saturday." OneStock's MCP server allows your AI to query real-time inventory, calculate accurate delivery promises, and present only fulfillable options.
Post-Purchase Exception Handling
Instead of deflecting to human agents, AI queries OneStock for full order lifecycle visibility : order status, order tracking, order cancellations, order returns, order modifications.
The Agentic Shopping Journey
Step 1: Exploration Prompt
“I’m looking for very comfortable, office-appropriate sneakers, like a retro-running style.” The AI agent understands natural language and queries your product catalog through OneStock MCP server, identifying relevant products based on attributes, reviews, and metadata.
Step 2: Refinement & Logistics Prompt
“I like the New Balance 2002R and Asics Gel-1130. Only show me options in stock in size US 10 that can be delivered to New York by Friday with cheap shipping (under $10).” The agent queries OneStock’s real-time inventory and delivery promise API.
Step 3: Reassurance Prompt
“Which one holds up better over time according to customer reviews?” The AI analyzes review data and product quality signals to provide recommendations, building confidence in the purchase decision before checkout.
Step 4: Checkout Prompt
“Perfect, I’ll take the New Balance.” The AI executes the purchase, leveraging OneStock’s intelligent orchestration to select the optimal fulfillment location that ensures the Friday delivery promise is kept.
Step 5: Delivery & Payment
Customer confirms delivery address and payment method. OneStock orchestrates the order to the selected fulfillment node, triggers inventory reservation, initiates pick-pack-ship workflow, and provides real-time status updates through fulfillment.
What is agentic commerce and how is it different from traditional e-commerce?
Agentic commerce is a new paradigm where autonomous AI agents execute entire shopping journeys on behalf of customers, rather than just providing recommendations. Unlike traditional e-commerce where customers manually search, compare, and purchase, agentic commerce allows AI agents to understand natural language intent, access real-time data, check inventory, calculate delivery promises, and complete transactions autonomously. OneStock powers agentic commerce by providing the Model Context Protocol (MCP) server and authoritative order data that AI agents need to make reliable commitments.
How does OneStock’s MCP server enable AI agents to interact with my retail systems?
OneStock’s Model Context Protocol (MCP) server acts as a standardized bridge between Large Language Models and your retail infrastructure. It exposes OneStock capabilities as safe, discoverable tools that AI agents can call to check stock availability, calculate delivery promises, find nearby stores, reserve items, search orders, track shipments, cancel items, update addresses, and initiate returns. Any AI agent that supports MCP (like Anthropic’s Claude) can connect to OneStock with proper access rights, eliminating the need for bespoke API integrations for every agent interaction.
What is algorithmic trust and why does it matter for my retail business?
Algorithmic trust refers to the reliability score that AI agents assign to retailers based on promise integrity. As conversational platforms like ChatGPT and Google Gemini connect to retailers through protocols like Universal Commerce Protocol (UCP), AI agents will prioritize recommending products from retailers who consistently keep their delivery and availability promises. OneStock builds algorithmic trust by feeding AI agents real-time, accurate inventory and delivery data, then ensuring those promises are kept through intelligent orchestration. This means AI agents will proactively select your products over less reliable competitors.
How does OneStock’s real-time inventory system differ from traditional inventory management?
OneStock utilizes an event-driven architecture that provides near real-time, unified visibility across your entire network—stores, distribution centers, and future stock. Unlike traditional systems with batch updates or probabilistic estimates, OneStock processes millions of inventory updates per day while maintaining accuracy. This is critical for agentic commerce because AI agents make absolute decisions based on the data they receive and cannot tolerate outdated information. The platform eliminates automated overselling risk by ensuring agents only recommend items that can actually be fulfilled.
Can OneStock integrate with both external AI agents (like ChatGPT) and our own branded conversational experiences?
Yes, OneStock supports both scenarios through its MCP server and extensibility framework. For external agents (ChatGPT, Gemini), OneStock provides product data feeds and MCP tools that allow these platforms to access your inventory, delivery promises, and order management capabilities. For owned conversational experiences, you can build your own safe, governed AI agents using OneStock’s MCP server to create hyper-personalized, intent-driven shopping experiences that maintain brand control while leveraging OneStock’s operational backbone. The platform provides AI agent extensibility to customize agent behaviors and connect to third-party MCP servers.
Availability, promise and order data, backbone of agentic commerce
