AI platform for wholesale order management and B2B ecommerce
WizCommerce operates a multi-product wholesale commerce platform (order-taking, ecommerce, payments, catalog imagery) with AI co-workers embedded to automate order entry, quoting, and follow-ups. The stack is surprisingly modern—React, React Native, Python, GPT-4o, RAG—paired with enterprise identity and device management (Okta, Jamf, Intune), suggesting a sales-led business built on developer infrastructure. Active hiring across engineering, design, product, and marketing at mixed seniority levels signals scaling into new workflows and channels.
WizCommerce serves wholesale and distribution companies across North America (150+ customers) with software designed around their multi-motion selling reality: sales reps, B2B portals, EDI, and marketplace channels running simultaneously. The platform consists of four core products—WizOrder (AI-first order app), WizShop (wholesale ecommerce), WizStudio (AI-generated catalog imagery), and WizPay (embedded payments)—plus AI co-workers that automate repetitive back-office tasks. Founded in 2020 and based in Washington, DC, the company operates as a 51–200-person privately held firm. Pain points internally include legacy ERP dependencies, long implementation cycles, and performance scaling challenges on their WordPress-based platform.
Frontend: React and React Native. Backend: Python. AI: GPT-4o and RAG. Identity and security: Okta, Google Identity, Azure AD. Device management: Jamf, Intune, Kandji. Operations: Slack, Zoom, Jira Service Management, HubSpot.
Washington, DC. The company was founded in 2020 and currently employs 51–200 people. Recent hiring activity includes roles in India.
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WizCommerce's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.