Observed Signal · Jun 10, 2026 · Partnership · Source: Horizont · Impact: 2/5 · Sentiment: Positive
Metro Transforms Marketing with AI and IBM iX
Metro AG, the international food wholesaler, has partnered with IBM iX to transform its marketing over a three‑year programme. The company now bases its marketing organisation on two central AI‑supported platforms. Metro serves more than 15 million customers and employs around 84,000 people. The report (author: Helmut van Rinsum) highlights the retailer’s shift toward AI-driven marketing infrastructure and features Emirhan Yasdiman, Metro’s Global Lead SEO. The article was published on 2026-06-10.
A major international wholesaler implemented AI-driven marketing platforms with an agency partner (IBM iX), indicating meaningful MarTech adoption in retail but not an industry‑shifting development.
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Key Takeaways & Evidence Grounding
- Metro AG partnered with IBM iX to transform its marketing over three years.
- Metro now uses two central AI-supported platforms as the basis of its marketing.
- Metro AG serves more than 15 million customers worldwide.
- Metro AG employs approximately 84,000 people.
- Article author: Helmut van Rinsum; Emirhan Yasdiman is named Global Lead SEO at Metro AG.
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Runable raises $21M to scale AI growth agents
Runable, a Bengaluru-based startup founded in 2025, raised $21 million in an all-equity Series A co-led by Susquehanna Venture Capital and Nexus Venture Partners, with participation from Together Fund and Array VC, valuing the company at $65 million post-money. Its AI agent automates building, running and growing small businesses—creating websites, apps, payments and marketing assets; running operations; and executing growth tasks including paid campaigns across ChatGPT Ads, Meta, Google, LinkedIn and TikTok, social scheduling, cold outreach and voice calls. Runable reports roughly 1.7 million registered users, rapid payment traction that reached a $2 million ARR within three weeks, high token consumption and currently negative gross margins as it subsidizes AI usage while working to cut inference costs. The company plans to expand growth channels and measurement, scale Runable Academy and hire across engineering, ML, product, growth and support.
Ten AI Automations Businesses Pay For
A practical how-to and commercial guide listing ten high-value AI automations that businesses will pay for (lead enrichment, invoice generation, ticket triage, churn scoring, meeting summaries, feedback clustering, quote generation, document extraction, FAQ chatbots, and KPI dashboard updates). The article gives typical per-execution price estimates based on OpenAI token pricing and third-party costs, buyer personas for each automation, a tools list (n8n, Make, Zapier, OpenAI, HubSpot, Pinecone, AWS S3, Docker, Git, Slack), and a step-by-step build tutorial for an AI-enriched lead-to-CRM pipeline using n8n + OpenAI + HubSpot. It includes failure modes, fixes, and an FAQ covering pricing, client acquisition, platform trade-offs, and webhook security. The page provides estimated build time (4–6 hours) and links to pricing and starter resources.
Marketing Automation Platforms Reinvented in Three Ways
The article examines how traditional marketing automation platforms (MAPs) are being rethought through three distinct approaches. Salesforce and Adobe are embedding MAP capabilities into broader customer data environments, using unified customer records and orchestration on top of CDP-style infrastructures. Braze centers automation on real-time customer lifecycle engagement and multi-channel behavior to enable continuous relationship management. Inflection.io is rebuilding the MAP as a standalone, modern platform that natively uses product and account data and has added 2026 features like Salesforce opportunity sync, native forms, speed-to-lead, and account scoring to compete with Marketo and Pardot. The piece highlights that MOps must shift from simple lead-scoring rules toward richer customer decisioning driven by expanded data sources and clearer ownership of the decision layer.
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