techwiki

Olivier Delangre

Olivier Delangre is the co-founder and CEO of amoobi, a company he co-founded in April 2011 and where he is based in Belgium. From September 2009 to November 2015 he was a coach and co-founder at Starter Coaching, and between July 2009 and October 2011 he was a partner at EmendoPro.

His earlier career was spent at the Université libre de Bruxelles, where he was a teaching assistant from September 2003 to September 2007, president of the researcher's association from 2006 to 2007, a researcher from 2007 to 2008 and an entrepreneur from October 2008 to October 2011. He held student internships at Telematics and Services in July 2002 and at Getronics in July 2001.

Delangre studied applied sciences at the Université libre de Bruxelles, completing a master's degree in 2003, followed by a DEA in engineering and a PhD in engineering awarded in 2008, the latter also conferred by the University of Lille 1 Sciences and Technology. He took a master's in management at the Solvay Brussels School of Economics and Management in 2007 and returned there for executive education in entrepreneurship in 2008-2009 and 2013-2014. He also completed the Venture Management program at RealAcad in 2008 and a Scale-up Masterclass at Vlerick Business School in 2019-2020.

Insights & takeaways

Olivier Delangre's public voice centers on one persistent argument: physical retail has been operating blind compared to e-commerce, and the technology to fix that gap finally exists. He puts it plainly when describing his company's mission, "we track lost sales that didn't make it to the register" , a phrase that captures his whole framing of the problem. For Delangre, the store is not a static backdrop but a system that can be measured, and once measured, optimized. His earliest explanation of Amoobi describes using "3D optical sensors placed in store ceilings to track customer movements and behavior inside retail stores, filling a gap in physical retail where stores lack the detailed customer interaction data available to online retailers" 12, and that same logic runs through nearly everything he says years later, whether he's discussing AI hype, congestion in aisles, or the Connected Store.

A recurring theme is skepticism toward buzzwords, especially AI, when they're not grounded in real data. He is blunt about this tension: "AI doesn't fix bad data, it just make it looks more convincing and shiny" , and insists that for retailers "you need physical store high quality data about your customers" . At Connect Lille he made the same point to an audience of French retailers, noting that "everyone is talking about it, but the reality is always grounded in data" and asking "how can you leverage AI for the physical store if you can't actually 'see' it?" . This is not anti-AI sentiment so much as a demand for sequencing: sensing and measurement first, intelligence layered on top second. He praises real-world applications when he sees them, calling Leroy Merlin's Pocket Coach tool "smart" for combining AI coaching with measurable performance scores , showing that his skepticism is aimed at empty hype, not at the technology itself.

Operationally, Delangre's thinking is built around the idea that physical space actively shapes behavior, and that most retailers misunderstand this. His clearest formulation is the concept he coined himself, "congestion kills conversion" 13, describing how clutter and poorly placed displays don't drive impulse sales but instead repel shoppers who instinctively take the path of least resistance 13. He extends this into concrete store design advice, explaining that "shoppers naturally navigate toward open spaces where they feel comfortable moving" and citing a common failure mode where "an employee replenishing a display" ends up "accidentally taking up most of the aisle," creating "an instant bottleneck" . His remedy is operational and data-driven at once: understand traffic patterns to adjust replenishment schedules, and train store teams on why open space matters . He frames this diagnostic capability as analogous to web analytics, describing Amoobi's system as "similar to Google Analytics for brick-and-mortar locations," identifying "where customers hesitate and spend time" and translating that into layout recommendations that "typically result in 5-15% sales increases" 14.

Delangre's view of the industry has a clear trajectory toward validation. He points to major retailers as proof that the "Connected Store" is materializing rather than remaining theoretical, citing Carrefour's partnership with Vusion for computer vision "following a similar move by Walmart" , and describing Carrefour as being "clearly on the path to building a store where physical operations are fully digitalized" . He frames this shift as consequential beyond novelty tech, arguing "when you digitalize the physical shelf, it fundamentally changes how we approach Category Management" and that it "bridges the gap between e-commerce-style insights and brick-and-mortar reality" . He tracks this evolution firsthand too, comparing his own 2024 test of the Caper Smart Trolley at Schnuck Markets to a newer, more limited rollout at Morrisons, noting "unlike the current experiment with Morrisons, back in 2024, I was able to pay directly on the trolley" , a small but telling observation of how implementation quality varies even as adoption spreads across autonomous checkout, smart trolleys, computer vision, and RFID systems he has personally tested .

A steady undercurrent in his public reflections is pride in building something international from a small home base. He describes growing Amoobi into "an international company from Belgium," having done "projects in 15 countries," and frames the company ethos as "made from Belgium with love" . He connects this directly to national identity, saying "coming from a small country makes us humble but ambitious" , and elsewhere ties Belgian culture to a willingness to "challenge the expected" and "not take ourselves too seriously" , a sensibility that seems to inform his contrarian streak on hype-driven industry conversations.

Taken together, the concrete takeaway from Delangre's public commentary is consistent across contexts: physical retail's future depends on treating the store as measurable terrain rather than static real estate, spatial design decisions have direct and quantifiable revenue consequences, and technology investments (AI, computer vision, smart trolleys) only pay off when grounded in granular behavioral data rather than adopted as trend-following gestures. His stance has not shifted so much as sharpened over time, from an initial technical description of sensor-based tracking 12 toward a broader industry critique of buzzword-driven AI adoption and a confident assertion that leading retailers are now proving his original thesis correct .

Career

Roles
Education

From public career histories · 18 entries

Media & appearances

3
  1. 12other
    Amoobi · 2 years ago · 10:40 · 15 views

    Olivier Delangre explains that Amoobi uses 3D optical sensors placed in store ceilings to track customer movements and behavior inside retail stores, filling a gap in physical retail where stores lack the detailed customer interaction data available to online retailers.

  2. 13podcast
    Amoobi · 4 weeks ago · 1:08 · 4 views

    Olivier Delangre discusses how excessive displays and clutter in retail stores actually reduce sales rather than increase them, explaining that shoppers naturally choose paths of least resistance and avoid congested areas. He argues that when displays create visual or physical congestion in an aisle, they prevent customers from entering that space, coining the phrase "congestion kills conversion" to describe this phenomenon.

  3. 14podcast
    Amoobi · 4 weeks ago · 1:09 · 2 views

    Olivier Delangre discusses how Amoobi uses 3D ceiling sensors to track shoppers' anonymous movements and behavior patterns in physical retail stores, similar to Google Analytics for brick-and-mortar locations. He explains that the technology identifies where customers hesitate and spend time, then provides recommendations for store layout optimization and product adjacencies that typically result in 5-15% sales increases. He emphasizes that the system focuses on understanding and recovering lost sales that never reached the register by making the shopping path easier for customers.

Recent mentions8