Order management platform for multi-channel restaurant and retail operations
Deliverect operates an API-first order orchestration platform serving restaurants and retail brands across 52 markets. The tech stack—Python, Node.js, TypeScript, AWS/GCP/Azure, dbt, Looker, and dual LLM integrations (OpenAI and Anthropic)—reflects a data-pipeline and AI-native architecture. Active hiring spans sales (6), product (4), and support (4) roles with accelerating velocity, paired with projects focused on channel activation, web personalization, and multi-location onboarding—signaling growth-stage scaling beyond core delivery into retail and first-party digital surfaces.
Deliverect provides order management infrastructure for restaurants and retail brands, unifying delivery platforms, point-of-sale systems, and in-house ordering channels through a single API layer. The platform handles order routing, fulfillment optimization, and operational simplification across dine-in, take-out, and delivery channels. Founded in 2018 and headquartered in New York, the company serves over 80,000 businesses globally in 52 markets, from independent restaurants to multi-unit enterprise operators. Current product expansion into dedicated retail and restaurant verticals, coupled with partner onboarding and web personalization initiatives, indicates a shift toward enterprise-grade customization and margin improvement.
Python, Node.js, TypeScript, AWS, GCP, Azure, dbt, Looker, OpenAI, Anthropic, Contentful, Sanity, HubSpot, and Jira. Stack reflects data pipeline and AI-native architecture supporting multi-channel order orchestration.
Over 80,000 businesses globally trust the platform across 52 markets, ranging from independent operators to multi-unit enterprise food and retail brands.
Deliverect'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.