Delivery management platform connecting shippers to a global carrier network
nShift runs a SaaS platform linking retailers, warehouses and brands to carriers for shipping, tracking and returns. Its stack pairs .NET, Vue and React with Python, FastAPI, OpenAI and AWS Bedrock plus RAG, and its projects center on AI-driven carrier integration, performance prediction and ML carrier recommendations. Accelerating, senior-weighted hiring split between engineering, sales and product points to a push on retention and expansion revenue alongside AI.
Notable leadership hires: Head of Regional Marketing
nShift provides delivery and experience management software covering checkout delivery options, shipment execution, tracking and returns. Its customers include retailers, warehouses, e-commerce brands and marketplaces that ship through a large international carrier network. The company was founded in 2021, is privately held, headquartered in London, and employs 201–500 people. It hires across Sweden, the United Kingdom, the Netherlands and Romania, reflecting its Northern European roots. The platform integrates with commerce and supply-chain systems such as Shopify, SAP, Oracle, Manhattan, Blue Yonder and Fluent Commerce.
nShift uses .NET, Vue, React and TypeScript, Python with FastAPI and Django, PostgreSQL and MongoDB, on AWS with Docker and Kubernetes, plus OpenAI, AWS Bedrock and RAG for AI work, and Salesforce and HubSpot for go-to-market.
Yes. Hiring is accelerating across engineering, sales, product, marketing and ops, with a strong share of director, manager and senior roles, in Sweden, the United Kingdom, the Netherlands and Romania.
Active projects include AI-driven transformation of carrier integration, carrier performance prediction, ML-driven carrier recommendations, cross-customer benchmarking and regional demand generation programs.
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nShift'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.