Daniel Schafer
North Richland Hills, Texas, United States
25K followers
500+ connections
About
I help Enterprise organizations make better business decisions by talking to their…
Articles by Daniel
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Why Retail Modernization Keeps Falling Short
Why Retail Modernization Keeps Falling Short
Billions Spent. A Decade of Effort.
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Navigating NLP Adoption Challenges: From Hype to ROI
Navigating NLP Adoption Challenges: From Hype to ROI
Since the launch of ChatGPT in November of the previous year, organizations across industries have been grappling with…
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ChatGPT and Business Data: A Complex Dance of Possibilities and Pitfalls
ChatGPT and Business Data: A Complex Dance of Possibilities and Pitfalls
By now everyone has tried ChatGPT and is positively surprised how good it is and can help in a variety of ways to cut…
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Schema on read vs Schema on write...
Schema on read vs Schema on write...
The essence of the Power of gaining insights from your data is understanding the difference between Schema on read vs…
2 Comments
Activity
25K followers
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Daniel Schafer shared thisGreat opportunity to hear how your peers solving their Supply Chain Problems and talk to them!Daniel Schafer shared thisEarly Bird pricing for Empower Chicago 2026 closes tonight at 11:59pm CT...𝘁𝗵𝗶𝘀 𝗶𝘀 𝘆𝗼𝘂𝗿 𝗹𝗮𝘀𝘁 𝗰𝗵𝗮𝗻𝗰𝗲 𝗳𝗼𝗿 $𝟱𝟬𝟬 𝗼𝗳𝗳. Join us for three days where supply chain leaders share what’s working, what broke, and what they changed - and how they’re moving toward faster, more connected decision-making across the enterprise. This is the Decision Era: a shift from static, siloed modeling and planning to math-first, continuous decision intelligence. 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗻𝗼𝘄: https://hubs.la/Q0495d8Q0 #Empower2026 #DecisionEra #SupplyChain #DecisionIntelligence
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Daniel Schafer shared thisLast August in Chicago, I had the chance to hear Coca-Cola share their supply chain transformation story on stage at our annual user conference. I'll be honest - I walked away genuinely impressed. Not because of the technology. But because of how they approached change from the inside out. No big disruption. No starting over. Just a smarter way forward that the whole organization could get behind. Saeed Siddiqi and Mack Hathaway will walk us through what that actually looked like - replacing tools they'd outgrown, cutting the time lost between data prep and decisions, and building a model for adoption that stuck. If you're in supply chain, network optimization, or leading any kind of analytics transformation, I think you'll find their story as valuable as I did. They're sharing it all in a live webinar on March 26 at 11 AM EST - and I'd love for people in my network to hear it firsthand. 😊 🔗 Save your seat: https://hubs.la/Q0463kCT0 #SupplyChainTransformation #NetworkOptimization #OperationsExcellenceDaniel Schafer shared thisMost technology overhauls take significant time. And too often, they lead right back to more of the same. The Coca-Cola Company took a different route, without missing a beat. On March 26 at 11 AM EST, we’re diving into how the Coca-Cola team reworked its approach to supply chain optimization from the inside out. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗰𝗮𝗺𝗲 𝗮𝘄𝗮𝘆 𝘄𝗶𝘁𝗵: ✔️ A next-gen platform to replace modeling tools they’d outgrown ✔️ Less time lost between data prep, modeling, and reporting ✔️ A champion-led adoption model the broader organization could rally around ✔️ Automated reporting in place of weekly Excel exports ✔️ A roadmap that stretches far beyond optimization Saeed Siddiqi, Senior Director of Supply Chain Optimization, and Mack Hathaway, Lead Modeler on the transition, are sharing what actually changed, what made it work, and what it took to bring the organization along. If you’re leading supply chain modeling, network optimization, or analytics change, this is a session worth showing up for. 🔗 Save your seat: https://hubs.la/Q0463kCT0 #SupplyChainTransformation #OperationsExcellence #NetworkOptimization #DataDrivenDecisions #EnterpriseAnalytics #Logistics
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Daniel Schafer shared thisRetailers have spent billions on planning modernization over the last decade. The gap between what the systems promise and what actually happens hasn't closed. Why? It's not the technology. It's not the budget. It's not even the algorithms. It's that every major investment has treated the components in isolation. Here's what's actually going on: The "store" is no longer a store. One physical location is now simultaneously a walk-in retail store, a drive-up pickup node, a ship-from-store fulfillment center, and a last-mile delivery hub. When you collapse all of that into a single store-level forecast, you don't simplify the problem - you delete the information that matters most. The data is lying to you. If a store was out of stock last Tuesday, demand didn't disappear - it rerouted. The historical record now shows artificially low demand, and a model trained on that data will systematically underestimate that store going forward. You're not observing true demand. You're observing constrained demand. You may be forecasting the wrong variable entirely. "Instead of forecasting how much work an individual store will have, we should be forecasting where orders will be allocated." A store's workload is a downstream consequence of upstream decisions - and the actual driver lives inside an order management system that most labor planning teams have no visibility into. Forecast accuracy is the wrong scoreboard. "Forecast accuracy is a bad game to play. What really matters is: will your guest get the product when she walks up to a store?" An engineering team can improve forecast error by a full percentage point - real, hard work -while producing zero improvement in the outcome that actually matters. The fix isn't a better algorithm. It's a connected sequence via daisy chain: Forecast → Allocation → Labor Planning → Delivery Scheduling → Capacity Planning Every link receiving live signal. No manual handoffs. No information black holes. That's the work that's still largely unfinished across the industry. Full article in the comments - would love to hear where you'd push back. What's the hardest supply chain problem you've faced that no single tool could solve? Harry Gill Stephen Musciano Brittany Elder Dinesh Natarajan Alex Meyer Frank Corrigan Matthew Link Deb Kennedy Deb Mohanty Jon Payne
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Daniel Schafer shared thisThis is a great opportunity to work for one of the most advanced Supply Chain Optimization Teams in Texas!Daniel Schafer shared thisThis is a great opportunity to work with HEB's Supply Chain Optimization team, an incredible group of analysts dedicated to solving some of HEB's toughest challenges. They consistently find ways to reduce expenses while enhancing service levels for our customers and stores. Apply now! https://lnkd.in/gwkg_RGeSupply Chain Analyst 1 in San Antonio, Texas | HEBSupply Chain Analyst 1 in San Antonio, Texas | HEB
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Daniel Schafer reposted thisDaniel Schafer reposted thisI spent 17 minutes building an AI system that does what Justin Welsh's $10M funnel does. And it outperformed his entire setup in 48 hours. Here's what LinkedIn gurus won't tell you about "proven funnels": They're teaching you to build horse carriages while everyone else is driving Teslas. Justin's funnel is brilliant. For 2019. His newsletter strategy? Perfect. Before AI existed. His $2,880/hour coaching? Makes sense when automation was simple Zapier workflows. But , we're living in 2025. I took his exact funnel structure and rebuilt it with AI: → His 3-product pyramid? AI agent handles all tiers simultaneously → 200k email list? My AI qualifies 1,700 leads without sending a single spam email → 48% open rates? Try 73% when AI personalizes every touchpoint → $17,100 MRR from upsells? One client hit $32k in ONE WEEK Here's what actually matters: 𝗝𝘂𝘀𝘁𝗶𝗻'𝘀 𝗪𝗮𝘆: • Write 5 posts daily • Cross-post everywhere • Build email list for years • Hope for 150k impressions 𝗧𝗵𝗲 𝗔𝗜 𝗪𝗮𝘆 (𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱): • AI tests 50 hook variations in seconds • Auto-publishes to 7 platforms • Qualifies leads BEFORE they hit your DMs • 987 comments on ONE post I'm not dissing Justin. The man's a legend. But copying his 2019 playbook in 2025 is like bringing a knife to a drone fight. My "too simple" 3-tool stack just processed 1,700 founders at Istanbul Slush'D. While you're studying his funnel... I'm building systems that replace entire agencies in 17 minutes. Want the ACTUAL playbook that works today? Drop a comment below this post and I'll send you: 1. My 3-tool AI stack blueprint 2. The exact prompts that generated $127k last quarter 3. Why complex funnels are dead (7-min video proof) P.S. Still following 2019 strategies? That's like using a flip phone because Nokia was successful. P.P.S. Repost if you want priority access!
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Daniel Schafer shared this📣 𝗟𝘆𝗿𝗶𝗰 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 | 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟯𝟬: 𝗗𝗲𝗺𝗮𝗻𝗱 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗿𝗮 – 𝗙𝗿𝗼𝗺 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝘁𝗼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 Agentic AI is no longer a concept - it’s reshaping how we plan, decide, and act. Yet many supply chain leaders still face a key challenge: understanding what “agentic” really means for demand planning today, not years from now. 💭 Questions we’ll tackle together: • How can agentic AI actually make planners more effective — without losing control? • What’s realistic now versus still experimental? • Are we ready to let systems adjust forecasts in real time? • How do we build trust in the data driving these decisions? Join Deb Mohanty (Head of Supply Chain Planning, Gen AI and Growth) and Vishvesh Oza (Head of Product at Lyric) for a grounded discussion that goes beyond hype to highlight what’s truly working in the enterprise. ✅ In this conversation, you’ll learn: • How agentic systems are changing planning processes • Where automation is accelerating real decision cycles • Examples of early success stories in production • Practical steps to help planners move confidently toward AI-driven forecasting If you’re curious about the agentic era — but still cautious about its promises — this session is designed for you. 📅 Date & Time: October 30 | 11:00AM ET 🔗 Register here: https://hubs.ly/Q03NhQdc0 #DemandPlanning #AgenticAI #SupplyChain #Forecasting #PlanningTransformation #AIinSupplyChain #LyricAIDemand Planning in the Agentic Era : Possibilities and Practicalities - LyricDemand Planning in the Agentic Era : Possibilities and Practicalities - Lyric
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Daniel Schafer reposted thisDaniel Schafer reposted thisToday is the day! Join Lyric at #nrfeurope 16 - 18 September! Dr Amit Kumar Hooda and I are on the ground with our partner NVIDIA in the Lenovo Booth at 4-U-040 Stop by to learn more about how our AI-first #supplychain is changing #modeling #analysis #planning and more!
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Daniel Schafer shared this🚀 Supply Chains are changing fast - and some companies are leading the way. At our annual user conference a couple weeks ago, I had the chance to hear Brian from TreeHouse Foods share their incredible transformation journey. The way they’ve shifted to a truly “always-on” supply chain is not just inspiring - it’s a roadmap for anyone grappling with constant disruption and complexity. If you’re looking for practical insights on building a more agile, dynamic supply chain, you won’t want to miss Brian’s upcoming session. 📅 September 25 👉 https://hubs.ly/Q03GNhd30Daniel Schafer shared thisJoin Live: TreeHouse Foods is reinventing how it models and designs its network, moving from slow, static runs to a dynamic always on approach. The result? Faster cycles, cleaner data, and insights that reach the people who need them. The bigger win is a resilient and forward looking supply chain that adapts in real time. On September 25, Brian Carpentier, Senior Manager of Network Design at Treehouse Foods, will share how his team is leading this shift. 👉 𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝘁𝗼𝗱𝗮𝘆: https://hubs.ly/Q03GNmqC0 #CustomerSpotlight #DecisionIntelligence #SupplyChainAI #TreehouseFoods #FutureOfSupplyChain #SupplyChainInnovation
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Daniel Schafer shared thisGreat day to be mentioned by Gartner as a Cool Vendor! 🚀 Here are some of the reasons why Lyric is getting noticed: End-to-End Planning: Demand, inventory, transportation, and network optimization in one platform. AI + GenAI Powered: Faster simulations and decision recommendations that cut planning cycles from weeks to days. Modern & Scalable: Built on a flexible lakehouse data layer with a user-friendly experience for planners and executives. Proven Value: Helping global brands reduce working capital, improve service, and drive supply chain resilience. If you want to read the full report with your Gartner subscription, please click here: 👉 https://lnkd.in/gps9zamu 🚀 Are you excited to see how AI continues to shape the future of supply chain planning? Connect with me to learn more! #SupplyChain #AI #GenerativeAI #SupplyChainPlanning #DigitalTransformationDaniel Schafer shared thisThe momentum around building 'Math-First Supply Chains' continues to grow! 🚀 🚀 🚀 Lyric has been named a Gartner Cool Vendor in Cross-Functional Supply Chain Technology (2025). From the start, our goal has been clear: help supply chain leaders make decisions faster, smarter, and simpler. Being recognized by Gartner shows how far we’ve come and how much further we can go. A big thank you to our customers and community. Together, we are pushing boundaries every day and proving what supply chain decision intelligence can do. Check out the report here (available to Gartner clients): https://lnkd.in/gps9zamu
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Daniel Schafer liked thisDaniel Schafer liked thisMost people aren’t lacking talent. They’re lacking recognition of their own potential. The gap between average and extraordinary isn’t skill. It’s identity. Because once someone decides who they are…everything changes. #Mindset #Identity #Leadership #Discipline #Execution #SelfBelief
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Daniel Schafer liked thisDaniel Schafer liked thisFascinating conversation this afternoon at the Gartner Supply Chain Symposium with Tim Kachur, CSCP from Genpact and Ganesh Ramakrishna, founder of Lyric. Rather than building a complete end-to-end supply chain solution, Lyric is focused on building a platform that contains modules that can be connected together like Legos. As Ganesh sees it, a "platform" is defined as a piece of software that can create other software. One of the advantages of this approach is the ability to quickly modify and regenerate the modules as your supply chain evolves and your team becomes more sophisticated. Looking forward to seeing what comes next for Lyric. ~Mr. Supply Chain® #AlwaysBeLearning #SupplyChain #GartnerSCS
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Daniel Schafer liked thisDaniel Schafer liked thisBig takeaways from Gartner Supply Chain Symposium this week: The conversation has shifted from digitizing supply chains → to autonomously running them. A few themes came through loud and clear: → AI is no longer the strategy. Operationalizing AI is. → The biggest gap isn’t technology. It’s execution. → The next competitive advantage is decision intelligence at scale. Most organizations already have: - AI pilots - dashboards - automation tools - fragmented data platforms What they don’t have is an integrated operating model that connects: Planning + execution + data + decisions. That’s where the real value is. Another theme that stood out: Talent is becoming a bigger constraint than technology. One speaker said it best: “Your greatest risk isn’t disruption — it’s inattention.” In a world of constant notifications, AI copilots, and information overload, attention itself is becoming a competitive advantage. And finally — the workforce conversation was fascinating. The best organizations won’t be the ones that optimize for a single generation. They’ll be the ones that know how to combine institutional wisdom, pragmatic execution, connective leadership, and digital-native adaptability. Bottom line: The winners in the next era of supply chain won’t be the companies with the most AI. They’ll be the ones that integrate it fastest, operationalize it deepest, and turn it into measurable business outcomes. Russell Rasmus Brian Houck Carla DeSantis Sebastian de Meel Mithun Samani Scott Boruff Ron Klein Victoria Smithee Copp Tony Reinhard Rohit Kilaru Molly Lang Wärendh #GartnerSC #SupplyChain #AI #PwC #DecisionIntelligence #SupplyChainTransformation
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Daniel Schafer liked thisDaniel Schafer liked thisIMAGINE HAVING ME ON EVERY DEAL, ALL THE TIME . . . Welp, imagine no longer. Introducing, AI Keenan Yup, that's right. I am now digital, here to help every seller in the world up their game. Ai Keenan has been trained in every aspect of Gap Selling. He's been fed the book, all the Gap Sell Keenans, all my trainings, all my videos, everything. AI Keenan is locked an loaded. He, I, (I dunno what person to use, 3rd, 1st 🤣 ), is not just some pre-scripted generic Ai. But rather a fully functional, interactive version of me that will provide. unique, specific, targeted feedback and observations to help you get better and help you close more deals, faster. Simply start a conversation with me/him. LOL and . . . - I/he will evaluate your gong calls - I/he will assess deals that are stuck - I/he help write emails and prospecting scripts - and provide training with built in role play and learning environments to improve. Ai me is game changing and I'm pumped. I've been asked for years if I do personal, one-on-one coaching and the answer has always been, sadly, no. But no longer. Now anyone can be coached by me, one-on-one, all the time, 24/7, 365. Not just and hour a week, but unlimited time. It's like having me in your pocket. (Or for you older folks, I'm like Kudzu to your Fred Flintsone. LOL) So check it out below, go sign up and let's get selling. See below for more info and how to sign up. ⬇️
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Daniel Schafer liked thisDaniel Schafer liked thisFor the last year or so…I’ve had this idea stuck in my head. Build an app that tracks hotel gyms and fitness setups for business travelers. y’all…I travel a lot for work. Probably 50+ hotel nights a year. And I got tired of this game: Hotel website: “State of the art fitness center” Reality: 1 treadmill. Dumbbells up to 35 lbs. A busted yoga mat and stretching area. So I kept thinking… There has to be a better way to track: -> hotel gyms -> nearby gyms -> day pass options -> recovery spots -> healthy food nearby -> walkability -> real userphotos -> actual reviews from travelers Not stock photos. Real stuff. But honestly…I kept getting stuck. I’d go down these rabbit holes: “Should I buy a Mac Mini?” “Learn Cursor?” “Use Claude Code?” “Build the backend myself?” And with 2 little kids, a full-time sales career, travel, fitness, family… I just wasn’t doing it. Fast forward to about 6 weeks ago… I started messing around with Lovable. And for like $25/month, I’ve actually started building the thing. A couple buddies are helping. A few designers too. And honestly…it’s been really fun. Most of y’all know this, but what I can do in a day would’ve taken any web developer a week or two a couple of years ago. That’s a massive shift. So…more to come as we keep building this thing out. Hopefully I can start sharing screenshots soon and get feedback from other road warriors. Because if you travel a lot for work… you know exactly what I’m talking about. Follow me for insights on finance, tech, faith, family, and fitness.
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Daniel Schafer liked thisDaniel Schafer liked thisThis train keeps rolling! We need the BEST OF THE BEST to bring The Lyric Studio to life for the taste-makers from every industry as Science, Math and Agents drive Supply Chains to operate with more speed and agility than they ever have before. Review the role here https://lnkd.in/dgzz5qPE And message me directly if you or someone you know may be interested!
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Daniel Schafer liked thisDaniel Schafer liked thisSupply chain isn’t just a cost center anymore—it’s a growth engine. As Al Mendoza, US Americas Supply Chain Leader at EY, shared: The biggest shift happening right now isn’t just technology… it’s how organizations think about supply chain. From cost center → to revenue driver From operational function → to innovation engine From backend → to brand experience But here’s the real insight: 👉 Many companies are investing in AI… 👉 Few are being truly strategic about where they’re going Because without a clear vision, you don’t get transformation, you just get incremental gains. In today’s environment, the companies that win aren’t just adopting technology… they’re rethinking their entire operating model. #SupplyChain #AI #SupplyChainStrategy #GartnerSC
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Education
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Sales Training
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June 2020 "Snowflake Technical Sales" Certification
August 2017 "Hortonworks Sales Professional" Certification
September 2016 "Challenger Sales Training"
January 2014 "Sales Octane" Jim Ryerson
June 2012 to Feb 2014 "Sales Integrity", Sales Coaching Live
July 2008 “R.A.D.A.R Winning Opportunity Strategy” The Complex Sale
September 2007 “Competitive Sales Strategies” Seica Systems
July 2006 “Executive Conversation” Executive Focused Selling
March 2006 “Think! Inc.”…June 2020 "Snowflake Technical Sales" Certification
August 2017 "Hortonworks Sales Professional" Certification
September 2016 "Challenger Sales Training"
January 2014 "Sales Octane" Jim Ryerson
June 2012 to Feb 2014 "Sales Integrity", Sales Coaching Live
July 2008 “R.A.D.A.R Winning Opportunity Strategy” The Complex Sale
September 2007 “Competitive Sales Strategies” Seica Systems
July 2006 “Executive Conversation” Executive Focused Selling
March 2006 “Think! Inc.” Strategic Negotiation Workshop
May 2003 Graduate of the "Program for Excellence in Selling" University of Houston -
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Licenses & Certifications
Volunteer Experience
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Asst Coach
Greater Lewisville Area Soccer Association
- 10 months
Children
Assisstant Soccer Coach
Languages
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German
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DataOps.live
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Snowflake
Even for a World Champion, the difference between gold and silver is in the data. ⛸️❄️ Watch U.S. Figure Skating coach Brandon Frazier use Snowflake Intelligence at the #WinterOlympics to uncover the statistically challenging elements that separate a podium finish from the rest of the pack. From ingestion to real-time action, this is how Snowflake powers the future of enterprise AI. See it in action: https://bit.ly/46evNFu
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The Information
Snowflake's Head of Cortex AI Agents, Jeff Hollan, shares the company's differentiated strategy for AI agents: “We're not trying to build an agent that can do everything.” “What we want to make really easy and really effective are specifically agents that can look into and understand your data... data is the blood of Snowflake." “We're moving towards more of this world where those agents are going to act more as an ensemble and orchestra together.” Watch the full episode: https://thein.fo/3LwADqd
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TechAfrica News
++ Snowflake Launches Project SnowWork to Automate Enterprise Workflows ++ Snowflake has unveiled a research preview of Project SnowWork, a new autonomous enterprise AI platform designed to help organizations accelerate workflows and translate insights into action. Positioned as a proactive AI partner, the platform enables business users to request tasks conversationally, with the system securely executing multi-step processes from start to finish. Project SnowWork is built to handle a wide range of enterprise use cases, from generating board-ready presentations and analyzing customer churn to identifying supply chain inefficiencies. By automating both simple and complex workflows, the platform aims to streamline operations and improve decision-making across business functions. “We are entering the era of the agentic enterprise, ushering in a fundamentally new way to work. This shift is about much more than technology, it’s about unlocking new levels of productivity and efficiency by embedding intelligence directly into the operating fabric of the enterprise. Project SnowWork looks to put secure, data-grounded AI agents on every surface, so business leaders and operators can move from question to action instantly. By elevating AI from experimentation to enterprise-grade autonomous execution, Project SnowWork serves as the secure foundation for how modern enterprises will get work done in the AI era.” – Sridhar Ramaswamy, Chief Executive Officer, Snowflake “Enterprises have invested heavily in data platforms and AI, yet the last mile of translating governed data into everyday business outcomes remains largely manual. Project SnowWork represents a meaningful shift from AI as an analytical tool to AI as an execution layer embedded directly into enterprise workflows. By grounding autonomous task execution in trusted, governed Snowflake data, shared business definitions, and cross-cloud and cross-domain interoperability, the company is extending its platform from a system of insight to a system of action, which is where measurable business value is ultimately realized.” – Sanjeev Mohan, Principal, SanjMo 🔗 Read more: https://lnkd.in/g4Y8sMem #TechAfricaNews #Snowflake #ProjectSnowWork #AI #Automation #Data #EnterpriseAI #WorkflowAutomation #BusinessAutomation #AIAgents
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Alamo Tech llc
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ACI INFOTECH
Snowflake isn’t just another warehouse upgrade, it’s the moment your entire data strategy grows up. Most enterprises don’t fail at cloud because of tools; they fail because they lift-and-shift technical debt: bloated schemas, legacy ETL, and three versions of “revenue” that never reconcile. A modern Snowflake migration must be about architecture, governance, and FinOps, not just moving tables. In the new AI-first world, your platform has to: Handle semi-structured data at scale Feed ML and GenAI safely Prove who accessed what, where, and why Keep cloud spend predictable and accountable That’s the bar ACI Infotech is designing for. Read the Blog: https://lnkd.in/gZWK2q7f #Snowflake #DataCloud #DataEngineering #CloudMigration #ModernDataStack #FinOps #DataGovernance #AIReady #CloudComputing
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