A district manager walks into a store on a Tuesday morning. She's been doing this for fifteen years. She knows the checklist by heart. She finishes the walk in forty minutes, files the report by noon, and drives to the next location. Six weeks later, she walks back into the same store. The same endcap is still wrong. The fitting room signage is still curling at the corner. The clearance section still looks like a yard sale. She knows, because she flagged all of it last time. It's in the report. She has the photos. This isn't a story about a bad store. Or a bad manager. Or a team that doesn't care. It's a story about a system that produces walks instead of outcomes — and almost every retailer is running some version of it. The walk gets done. The store doesn't get fixed. The data backs it up. 25 to 35% of store productivity variance comes down to manager quality. McKinsey estimates a 30% profit lift is sitting in optimized store operations. The opportunity is enormous. The execution gap is the reason most retailers never capture it. We wrote the complete guide to retail store walks in 2026 to close that gap. Five steps. Five zones. The four design flaws that make most programs quietly fail. And the diagnostic questions to ask of your own program before you book another visit. Read it here → https://lnkd.in/ehNSTk5Y
YOOBIC
Développement de logiciels
New York, NY 17 948 abonnés
La plateforme IA au service de la performance retail.
À propos
YOOBIC est une plateforme digitale tout-en-un alimentée par l’IA, offrant aux managers et leurs équipes terrain les outils dont ils ont besoin pour exécuter leurs tâches, communiquer et se former, le tout en un seul et même endroit. YOOBIC améliore la productivité, l'excellence opérationnelle et l'agilité tout en offrant une meilleure expérience de travail aux collaborateurs en magasin. Plus de 350 retailers et marques dont Lacoste, le groupe SMCP, Carrefour, Lidl, Lagardère Travel Retail et Lonchamp font confiance à YOOBIC pour optimiser l’exécution opérationnelle, obtenir une visibilité en temps réel sur les opérations en point de vente et améliorer l'expérience client. Les investisseurs de YOOBIC comprennent Insight Partners, Felix Capital et Highland Europe.
- Site web
-
https://www.yoobic.com
Lien externe pour YOOBIC
- Secteur
- Développement de logiciels
- Taille de l’entreprise
- 201-500 employés
- Siège social
- New York, NY
- Type
- Société civile/Société commerciale/Autres types de sociétés
- Fondée en
- 2014
- Domaines
- Retail Operations, Hospitality Operations, Grocery Operations, Frontline Operations, Employee Experience, Customer Experience, Task Management, Store Audits, Visual Merchandising, In-Store Conversion, Internal Communication, Training, Mobile Learning, Learning & Development, Microlearning, Employee Communication, Frontline Employee Engagement, Retail Task Management, Store Communications, Retail Execution, AI, Store Operations Software, Retail Task Management, AI Retail Technology et Store Team Performance
Produits
YOOBIC ONE
Logiciel d’exécution dans le domaine du retail
YOOBIC is the AI-powered retail operations platform built for the realities of everyday store life. With YOOBIC, retailers transform frontline execution, communication, and training through a single mobile platform powered by AI, automation, and predictive insights. The result? Better performance, fewer inefficiencies, and connected teams who can move faster and deliver more. What YOOBIC helps retail leaders do: - Improve store execution and operational consistency - Empower managers with AI insights and automated recommendations - Simplify communication between HQ, field leaders, and stores - Deliver personalized, mobile-first learning at scale - Reduce task overload, errors, and support tickets - Drive measurable impact on sales, labor, and customer satisfaction Trusted by 350+ global retailers. YOOBIC powers operations for leading retailers across grocery, fashion, convenience, beauty, hospitality, and specialty.
Lieux
Employés chez YOOBIC
Nouvelles
-
Australia is big. Pharmacy is critical. And franchises are complex. So when a network like TerryWhite Chemmart brings 620 locations and 10,000+ users together, execution has to be clear, fast, and consistent. Every update matters. Every task matters. Every training moment matters. Every answer a frontline team needs should be easy to find. That's why we're proud to welcome TerryWhite Chemmart to the YOOBIC customer community. A huge thank you to Laura Rohan-Webb, Dave Robinson, Michael Beaumont, and Dan Hillier for your warm partnership and collaboration. Sarah Lane, Val B., Bradley Capon, Léa Goulipian, Swagata Mukherjee, Melinda Brennan, Martina Cirulli, PhD. Together, we'll support clearer communication, task-centric execution, pharmacist training and certification, BDM store visits, campaign execution audits, and faster access to knowledge through AI. Because in pharmacy, strong operations don't just support the business. They support care and convenience in the community. Welcome to YOOBIC, TerryWhite Chemmart.
-
-
Quarters like this don't happen by accident. They happen because of the team behind them. PVH. Boot Barn. Sally Beauty. National Vision. Grocery Outlet. Salomon. Dreams. Three AI Copilots shipped. US our fastest-growing region globally. All in one quarter. Beyond proud of every YOOBIC'er who made this happen, and grateful to every customer trusting us with the next chapter of their operations. One platform. Every layer. Every person. Every action. We're just getting started. 🚀 #Retail #RetailTech #FrontlineExcellence #StoreOperations #AIinRetail #YOOBIC
𝗪𝗲 𝗷𝘂𝘀𝘁 𝗰𝗹𝗼𝘀𝗲𝗱 𝘁𝗵𝗲 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝗾𝘂𝗮𝗿𝘁𝗲𝗿 𝗶𝗻 𝗬𝗢𝗢𝗕𝗜𝗖'𝘀 𝗵𝗶𝘀𝘁𝗼𝗿𝘆. Twelve years ago, we founded YOOBIC on one conviction: 𝗿𝗲𝘁𝗮𝗶𝗹 𝗶𝘀 𝘄𝗼𝗻 𝗼𝗿 𝗹𝗼𝘀𝘁 𝗼𝗻 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝗲 𝗳𝗹𝗼𝗼𝗿. This quarter, the market made that conviction undeniable. We just closed the strongest quarter in YOOBIC's history, and the momentum behind it is unlike anything we've seen in twelve years. We welcomed 𝗣𝗩𝗛 (𝗖𝗮𝗹𝘃𝗶𝗻 𝗞𝗹𝗲𝗶𝗻, 𝗧𝗼𝗺𝗺𝘆 𝗛𝗶𝗹𝗳𝗶𝗴𝗲𝗿), 𝗕𝗼𝗼𝘁 𝗕𝗮𝗿𝗻, 𝗦𝗮𝗹𝗹𝘆 𝗕𝗲𝗮𝘂𝘁𝘆, 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗩𝗶𝘀𝗶𝗼𝗻, 𝗚𝗿𝗼𝗰𝗲𝗿𝘆 𝗢𝘂𝘁𝗹𝗲𝘁, 𝗦𝗮𝗹𝗼𝗺𝗼𝗻, 𝗮𝗻𝗱 𝗗𝗿𝗲𝗮𝗺𝘀 to the platform. Apparel. Optical. Grocery. Sporting goods. Beauty. Bedding. The world's most ambitious retailers are choosing YOOBIC, and our US business is now our fastest-growing region globally. And it's not just new logos. Existing customers are expanding with us at a pace that tells its own story: more stores, more use cases, more of their operation running on YOOBIC every quarter. Why now? Because the industry has caught up to what we've known for over a decade: Intelligence without execution is pointless. Execution without intelligence is effort without direction. Most platforms give you one or the other. Dashboards nobody acts on, or task lists with no signal behind them. That gap between knowing and doing? It's where the $1 trillion the industry loses every year actually lives. YOOBIC is the only platform built to close it. We connect operational data, surface what matters, and put role-specific intelligence into the hands of every person from HQ to the store associate. And we're not slowing down. This quarter we shipped three new AI Copilots, now generally available: - Store Manager Copilot. One big global retailer is already seeing a 3.2% sales lift - VM Copilot. Real-time image recognition that audits visual merchandising against brand standards - Retail Assistant. Conversational intelligence for any role, any moment on the floor New customers. Expanding customers. Shipping faster than ever. This is what category leadership looks like in motion. None of this happens without an extraordinary team. To every YOOBIC'er across product, engineering, AI, customer success, sales, marketing, operations, and support: thank you. Building in retail is hard. Building the category-defining platform in retail is harder. This milestone is yours. To the teams at PVH, Boot Barn, Sally Beauty, National Vision, Grocery Outlet, Salomon, and Dreams: thank you for trusting us with the next chapter of your operations. We won't waste a second of it. One platform. Every layer. Every person. Every action. Run on intelligence. Win on execution. We're just getting started. 🚀
-
Curiosity about the frontline is not the same as understanding it. You can ask great questions, read every report, and still miss what it actually feels like to run a store, serve a guest, or troubleshoot a system at 3am. The only way to close that gap is to do the work. Ron Thurston explores this with David Dawson, VP of Retail and Digital Technology at Pilot Company, in the latest episode of #FrontlineFridays. The episode is out now: https://lnkd.in/eexpjzrB #FrontlineFridays #RetailLeadership #FrontlineRetail #RetailTechnology #RetailOperations #PilotCompany
-
-
64% of retail CEOs rank AI as a top investment priority for 2026. The conversation has shifted from experimentation to expectation. In the next 12 months, every retailer will face the same question from their board, their teams, and future hires: what's your plan for AI in stores? On Wednesday 24 June, we're hosting a breakfast in London to move past the abstract. Four concrete AI use cases, already live in stores, with real results from retailers who have made the move: ▪️ The right information, at the right moment ▪️ Turning store data into revenue, with a live look at how Hugo Boss is using AI across their global network ▪️ Scaling frontline teams training ▪️ Transforming merchandising execution with computer vision 📅 Wednesday 24 June, 8:30–10:30 📍 Treehouse London Save your seat → https://lnkd.in/eMnx2sqE
-
-
900+ travel centers. Never closed. Not for a single hour. Running a business like Pilot Company demands a different kind of technology thinking — one where reliability and simplicity aren't features, they're requirements. David Dawson joined Ron Thurston on #FrontlineFridays to talk about what it really takes to build technology that holds up when the frontline never gets a break. The episode is out now: https://lnkd.in/eexpjzrB #FrontlineFridays #RetailLeadership #FrontlineRetail #RetailTechnology #RetailOperations #PilotCompany
-
Every retailer wants to be Zara. Most are trying to copy the wrong thing. The feedback loop is real. Store managers observe what's selling, the signal travels upstream, and new product arrives within days. That part of the story is accurate. What's missing from most versions of it is the infrastructure that makes the loop work. If fabric is sitting in a warehouse in East Asia with a six-week lead time, no volume of fast data will put new inventory on the shelf by Saturday. The speed of the loop depends entirely on the state of the system it feeds into. The governing concept isn't the feedback loop. It's signal-to-decision latency: the interval between a store team observing something on the shop floor and that observation influencing a central decision. Inditex has compressed that interval to hours through four interdependent mechanisms. Most retailers have not. The result shows up in the numbers. Zara's fashion floor turns inventory roughly 12 times per year. Across major fashion retailers, the industry benchmark runs between 2.8x and 4.3x. That gap isn't explained by speed alone. It's explained by the organizational and supply chain architecture that determines how fast a company can act on what it already knows. The distinction that matters most: retailers who have invested in real-time visibility without changing who holds the authority to act on it end up with a very precise record of missed sales. Data moves fast. Decisions don't. Fabrice Haiat, our CEO, wrote the full breakdown: all four mechanisms, why data investment alone can't close the gap, and the three questions every operations leader should be asking about their own network. Read the full blog here: https://lnkd.in/exf4PA4t #RetailOperations #StoreExecution #RetailStrategy #YOOBIC
-
Most retailers facing margin pressure reach for the same moves. Raise prices. Cut headcount. Reduce footprint. Those levers are real. They're also finite. UK retailers are absorbing £5.6 billion in additional operating costs this year. The instinct is to cut harder. The data suggests that instinct has a ceiling — and a lot of businesses are approaching it. The retailers protecting margin in 2026 are not the ones cutting most aggressively. They're the ones executing most consistently. And the gap between those two groups is measurable. When retail COOs are asked about promotional compliance across their store networks, the typical answer is 80 to 85 percent. When those same organizations implement structured measurement, actual compliance lands between 55 and 65 percent. That 20-point gap doesn't show up as a line item. It shows up as $10 million to $40 million in value destroyed every year, according to Boston Consulting Group. For a grocery retailer operating 500 locations, a breakdown in execution across just 30 percent of stores produces more than $5 million in preventable losses annually. $3.9 million in missed promotional sales. $780,000 in lost vendor funding. $260,000 from associates who didn't have the information they needed to close the sale. None of those losses appear on a standard P&L under the heading "execution failure." Retailers using AI and machine learning to measure and close execution gaps are achieving sales growth 2.3 times higher and profit growth 2.5 times higher than those still relying on manual oversight. That's not a marginal performance difference. It's a structural gap that widens each year it goes unaddressed. The full case for treating frontline operations as a profit lever is in this article: https://lnkd.in/enF5Hksh #RetailOperations #RetailMargin #StoreExecution #FrontlineOperations #RetailStrategy #YOOBIC
-
What are you actually doing with the time technology gives back to your team? Efficiency is only half the equation. The real question is what happens next — more time with guests, more coaching, more presence on the floor. Ron Thurston and David Dawson, VP of Retail and Digital Technology at Pilot Company, get into this and a lot more in the latest episode of Frontline Fridays. The episode is out now: https://lnkd.in/eexpjzrB #FrontlineFridays #RetailLeadership #FrontlineRetail #RetailTechnology #RetailOperations #PilotCompany
-
-
A store visit costs money whether it works or not. The labour, the travel, the time pulled from everything else a district manager could be doing. That cost is fixed. What varies is the return. Most retail organisations measure visits by activity. Stores covered. Checklists completed. Visit frequency against a target. None of those metrics tell you whether anything changed as a result of the visit. A store walk that identifies twenty execution gaps and resolves none of them has spent the same resource as one that closes all twenty. The outcomes are completely different. The activity looks identical. The financial consequences of that distinction run into the tens of millions per retailer per year. Out-of-stocks alone cost the global retail industry $634 billion annually. Between 70 and 90 percent of them are not caused by supply chain failures. The product arrived at the store. Something went wrong after it did: a replenishment delay, a rotation error, a shelf maintenance failure that a structured walk would have caught and a follow-up action would have fixed. Shrink follows the same logic. The default assumption is theft. In the supermarket sector, 64 percent of shrinkage comes from process failures: cashier errors, administrative mistakes, poor inventory handling. These are operational problems. They respond to operational oversight. Reducing shrink by 18 percent produces the same bottom-line profit impact as a 22 percent increase in sales. In low-margin retail, that equivalence is not a footnote. It reframes what the store visit is actually for. The execution rate gap makes the stakes concrete. When HQ communicates through traditional channels, email, printed briefings, verbal handovers, around 29 percent of initiatives are executed correctly at store level. Structured digital task management with verified completion raises that figure to 95 percent or above. The gap between those two numbers is not about technology. It is about whether a visit produces verified, closed-loop action or just a set of observations in a report nobody acts on before the next visit. The retailers generating the strongest financial return from store visits are not necessarily the ones visiting most frequently. They are the ones treating every walk as a performance intervention: measuring what changed, not what was covered. The full business case, with the four financial levers and the framework for calculating visit ROI, is here: https://lnkd.in/ePCWQVWD #RetailOperations #StoreExecution #FieldLeadership #RetailStrategy #YOOBIC