Delivery Science
Delivery Science, founded in 2021, is a technology company focused on optimizing delivery logistics through AI-driven solutions.
Profile
Delivery Science provides AI-powered solutions to optimize delivery logistics and enhance product discovery for ecommerce companies.
Delivery Science, founded in 2021, is a technology company focused on optimizing delivery logistics through AI-driven solutions. The company has rapidly expanded its customer base, growing by 82% in FY26, and now serves a diverse range of industries including ecommerce, grocery, and B2B manufacturing. Delivery Science reported powering 322 billion product discovery interactions in FY26, a 266% increase over two years ago.
The company has also seen significant global growth, with EMEA revenues increasing by 116% year over year. Delivery Science employs a workforce of over 1,000 employees globally, with a 45% increase in headcount in FY26. The company’s AI platform leverages reinforcement learning to continuously improve interactions across the buyer journey, from search to AI agent conversations.
Delivery Science has maintained a 96% gross revenue retention rate, indicating strong customer loyalty. The company’s recent innovations include the launch of agentic AI products, which have driven measurable gains in revenue and shopper experience for its clients.
Who buys this
- Ecommerce companies
- Grocery retailers
- Apparel brands
- B2B manufacturers
- Cosmetics companies
Strengths and what to watch
Strengths
- 82% customer growth in FY26, reflecting strong market demand
- 96% gross revenue retention rate, indicating high customer satisfaction
- 116% year-over-year revenue growth in EMEA, showcasing global expansion
Watch for
- High dependency on AI technology, which may face regulatory scrutiny
- Rapid headcount growth could lead to operational challenges
- Intense competition in the AI-driven logistics space
Recent moves
Key Information
- Founded
- 2021
Frequently Asked Questions
What does Delivery Science do?
Delivery Science provides AI-powered solutions to optimize delivery logistics and enhance product discovery for ecommerce companies. Founded in 2021, it serves industries like grocery, apparel, and B2B manufacturing, with 82% customer growth in FY26 and 322 billion product discovery interactions powered.
How does Delivery Science use AI in logistics?
Delivery Science's platform uses reinforcement learning to improve buyer journey interactions, from search to AI agent conversations. Their agentic AI products have driven measurable revenue gains, with the technology optimizing 322 billion product discovery interactions in FY26, a 266% increase over two years.
What industries use Delivery Science's solutions?
Delivery Science serves ecommerce companies, grocery retailers, apparel brands, B2B manufacturers, and cosmetics companies. The platform's 96% gross revenue retention rate indicates strong adoption across these sectors, with particular growth in EMEA (116% revenue increase) and manufacturing verticals.
How fast is Delivery Science growing?
Delivery Science grew its customer base by 82% in FY26, with EMEA revenues increasing 116% year-over-year. The company now powers 322 billion product discovery interactions annually and employs over 1,000 staff globally, reflecting rapid expansion since its 2021 founding.
What are the risks of using Delivery Science?
Potential challenges include high AI dependency (facing regulatory scrutiny), operational strains from 45% headcount growth in FY26, and intense competition in AI logistics. However, their 96% revenue retention suggests most customers find value despite these industry-wide pressures.
How does Delivery Science improve ecommerce delivery?
The platform optimizes logistics through AI that learns from buyer interactions, reducing delivery inefficiencies. For product discovery, it processed 322 billion interactions in FY26, helping retailers match inventory to demand. Agentic AI features additionally enhance shopper experiences through conversational interfaces and personalized recommendations.
Sources
- www.prnewswire.com — 82% customer growth in FY26
- www.reuters.com — AI adoption in logistics
- www.reuters.com — Job cuts and efficiency push in 2026
- www.reuters.com — Delivery logistics growth