Company profile
Marks & Spencer
specialty retail, food and fashion · London, United Kingdom · marksandspencer.com
Marks & Spencer is a UK based retailer with food, fashion, home and beauty operations, a broad store and online footprint. Its current direction centers on reinvesting for growth, with emphasis on supply chain modernisation, technology transformation, store rotation, online improvement.
Strategic priorities
Reinvest for growth through technology
Technology is now a core investment priority tied to service, decision making and online growth.
The company says digital, data and technology are central to how it operates, it is investing in fashion planning, food logistics, e-commerce and simplification of the technology estate.
Build the M&S we need to be
Modernise supply chain and logistics
M&S is prioritizing capacity, availability and cost to serve.
The company states that supply chain modernisation is one of its three core investment programmes and that it is increasing capacity through new distribution and logistics initiatives.
Full Year Results for the 52 Weeks Ended 28 March 2026
Use AI selectively for business value
AI is being applied to measurable operating and customer use cases.
M&S says AI is being used selectively where it reduces cost or improves decisions, including pricing, waste reduction and personalised customer offers.
Full Year Results for the 52 Weeks Ended 28 March 2026
Deepen customer personalisation
Customer engagement and loyalty are being rebuilt around data and personalisation.
The relaunch of Sparks is described as powered by data and AI, with wallet based rewards and greater personalisation and engagement.
Full Year Results for the 52 Weeks Ended 28 March 2026
AI program
M&S describes AI as a practical tool rather than a standalone program, with use cases in pricing, waste reduction, personalised offers and internal automation. It has also publicly described a Data Science and AI Academy in retail, built with an in house apprenticeship model and a cloud data platform called BEAM. The company says its AI and data work is intended to support better decisions, colleague productivity and customer personalization.
Technology posture
M&S presents itself as a digitally enabled retailer that is simplifying its technology estate, rebuilding online capabilities and investing in data led operations.
Public materials show cloud based data infrastructure, structured data training, selective AI deployment and active modernization of e-commerce, planning and logistics systems.
Technology vendor categories
Cloud
n/a, M&S says it works with suppliers and partners that use cloud and hosted technologies across multiple geographies
Data
Google Conversational Analytics, Medallia, Bazaarvoice, Zendesk, Maze, UserTesting
AI
Flashtalking for ad delivery and analysis, data science and AI apprenticeship partners, selective internal AI use cases
Security
n/a, M&S states its cyber security team conducts threat monitoring, due diligence and audits for data processors
CRM
Flashtalking, user engagement and loyalty systems such as Sparks, survey and ratings platforms such as Medallia and Bazaarvoice
Cited technology signals
Public, sourced evidence of the third-party technology this company uses, from careers pages, filings and press.
M&S is hiring for an AI Technology Tech Lead role that requires Databricks, Foundry, the wider ecosystem for Data, AI, ML, Generative AI solutions.
M&S is hiring for a Software Engineering Manager, Cloud Platform role that lists cloud services, Terraform, Bicep, ARM, Kubernetes, containers, GitHub Actions, deployment automation in its tech stack.
M&S is hiring for an AI Staff Platform Engineer role that mentions AI Foundry, Databricks, MCP, agents, RAG, LLM powered applications.
An M&S AI Staff Platform Engineer posting says M&S partners with Women in Data, Databricks, Cajigo to increase opportunities for women in digital and data.
M&S is hiring for a Senior Software Engineer, Food, role that names Kafka, SFTP, MongoDB, Snyk, Semgrep in the responsibilities and preferred experience.
An M&S careers article says the current web stack includes React, Emotion, TypeScript, GitHub Actions, Terraform.
Recent developments
2026-05-20
2026-05-20
2026-06
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Evidence confidence 89/100. Generated 2026-07-29 from public sources.