Airtable for Retail: Optimizing Product Costs with COO of Maggy London

Jonathan Lefkowitz, COO of Maggie London, shares how his team uses Airtable AI to streamline product costing across 2,000+ new styles each year. See how Airtable field agents analyze tech packs, extract bill of materials notes, match historical production data with DeepMatch, generate AI cost estimates, suggest optimizations, and automatically build executive-ready reports. The result? 30–45 minutes saved per SKU and smarter factory negotiations at scale. Learn how Airtable AI helps fashion, retail, and manufacturing teams move faster from design to production.