Meghan Stabler joins alentr as CMO to drive AI pricing
Meghan Stabler, who previously held senior marketing roles at BigCommerce and ThriveCart, has been appointed co-founder and chief marketing officer at alentr, a new contextual AI pricing platform.
Stabler, described as a seasoned SaaS executive with experience scaling software companies through IPO and hyper-growth, is tasked with leading alentr's marketing, partner management, and brand strategy. Her role will also encompass guiding product alignment and direction as alentr targets retail and enterprise buyers seeking to modernise their pricing operations.
AI's impact on retail pricing
Alentr operates in the retail pricing software market, which is projected to exceed USD $13 billion globally by 2034, spurred by rapid AI adoption and a push from retailers to improve profitability. The platform aims to help enterprise retailers and their finance teams optimise pricing, protect margins, increase profits, and grow sales with an AI engine that delivers real-time, guard-railed prices across channels.
Alentr is currently preparing for a public debut in November and is engaging with a group of early investors to support its market entry, recruitment, and ongoing product development.
Leadership perspectives
"Retail is hyper competitive and retailers fully understand that a one size fits all approach to pricing is outdated. They know they need to modernize to solve the balancing act between enhancing profitability and generating consumer trust. Meghan brings critical retail experience and vision we need to build alentr into a category leader. Her track record at BigCommerce helping scale the business to IPO and hundreds of millions in ARR, combined with her deep understanding of enterprise retail ecosystems, gives alentr an unparalleled advantage in this multi-billion-dollar market."
These comments were provided by James Patmore, Co-Founder of alentr, outlining the importance of Stabler's experience and the company's market ambitions.
Andy Vanags, also Co-Founder of alentr, highlighted the company's mission with the following statement:
"Our mission is to make pricing execution instant, contextual, and intelligent. Meghan's leadership in product marketing and go-to-market strategy ensures we can communicate that mission with clarity to retailers, partners, and investors. She's already influencing how we shape the category narrative, and that will be critical as we scale."
Stabler's viewpoint
Stabler provided her perspective on the challenges facing the retail sector regarding pricing software:
"Retailers are tired of legacy 'dynamic pricing' that is slow, batch-driven, and disconnected from the realities of today's hyper personalised market. Those systems were built for another era where pricing could be managed in overnight runs, spreadsheets and stored in ERPs that are notoriously bad at handling pricing dynamically or contextually. alentr delivers contextual AI pricing that empowers enterprise retailers and their finance teams to protect margin, boost profit, and optimize sales. Our solution brings together live data, guardrails, and execution so that retailers can act instantly and consistently without risking margin leakage or brand value. I joined alentr because this is not just about better pricing tech. It's about defining a new standard for how retailers compete: intelligently, faster, and with pricing that aligns commercial goals, competitive pressures and customer trust."
Market projections
Recent industry analysis indicates that the price optimisation and management software market is set to grow from USD $6.63 billion in 2025 to USD $12.68 billion by 2034, amid evolving retailer requirements and continued digital transformation.
Alentr describes its contextual pricing platform as suitable for modern retail architectures, focusing on real-time, guard-railed prices for enterprise retailers. The company is backed by several industry advisors and is aiming to address the needs of retailers seeking to enhance their profitability and build consumer trust during a period of significant technological change.
