TableFlow (YC W23)

💡 Most distributors have solved half their document problem. Inbound customer POs? There's EDI. There are a dozen tools built for that exact workflow But here's what nobody talks about: Your 40 suppliers each send a quarterly pricing update in a different Excel format. Indented hierarchies. Size run matrices. Scientific notation SKUs. Headers that change between quarters. Someone on your team is spending 10+ hours a week reconciling that manually. And your sales team is quoting on costs that are already 3 months stale. That's not an order automation problem. That's an Excel intelligence problem. And it's the evolution of combined use-cases across document automation. We wrote about where — and what comes next. #WholesaleDistribution #SupplyChain #DocumentAutomation #OrderAutomation https://lnkd.in/edxAqv6z

We all know AP automation is valuable. Proven and Reliable. But here's what operations leaders discover after implementing AP-only platforms: AP invoices represent only 30-40% of their document processing problem. When you map the complete document landscape? AP invoices: 30-40% Customer orders: 20-30% Partner sales data: 15-25% Supplier pricing: 10-20% Freight docs: 10-15% Automate ONLY AP = operations team still drowning in the other 60-70%. The math: Spending 2x on comprehensive automation delivers 5x the ROI vs AP-only. Full ROI comparison 👇 #APautomation #operationstech #documentautomation #CFO #finance https://lnkd.in/eNb6FXp5

💡 Distributors and manufacturers still spend a lot of time manually processing updated supplier pricing sheets. Sometimes, updated pricing just sits there for a few weeks....You can imagine how this might impact a number of processes negatively? Why? Every supplier sends updates in their own Excel format. Operations teams manually extract pricing, update ERPs, and make data available to sales. The true cost? $50K-$100K annually when you factor in margin leakage and opportunity cost. Here's why traditional automation platforms can't handle this—and what modern AI can actually do: ✅ One-template processing (no per-supplier setup) ✅ Handles nested hierarchies & size matrices ✅ Adapts automatically when formats change ✅ Validates against contract pricing ✅ Real-time ERP updates Our client, a national electrical components distributor achieved 90% time reduction—from 10+ hours/week to less than 1 hour reviewing exceptions. Full breakdown in our latest post👇 https://lnkd.in/ec5JBqVk #supplychainops #distributorops #pricingautomation #operations #wholesale

Interesting Fact: Most document automation platforms are built for companies receiving order. But what about retail brands selling THROUGH those distributors? If you're a retail brand expanding from DTC to wholesale—selling through Costco, Target, REI—your automation needs are fundamentally different: 📊 Partner sales-through data (not just POs) 🔄 Bi-directional document flow 📦 Multi-channel complexity (DTC + wholesale) 🎨 Size matrices & complex SKU structures One for our clients automated Costco sales reports that were taking hours per week. Result: scaled wholesale without proportional headcount. Our latest post breaks down where the gap shows up and what to look for instead.👇 https://lnkd.in/eHd_KfAy #retailtech #wholesale #DTCtowholesale #retailbrands #operations

New Playbook! 💡 Mid-market companies ($10M-$500M) face the unfortunate automation paradox: Enterprise-level complexity (100+ partners, complex docs, high volumes) but -startup-level budgets (limited headcount, need fast ROI, can't afford 6-12 month implementations). Enterprise platforms: $50K-$150K/year, 6-12 month implementations Startup tools: Too simple, can't scale Mid-market sweet spot: $30K-$60K/year, 2-4 week implementations What actually works: ✅ Fast time to value (weeks not months) ✅ Comprehensive coverage (one platform) ✅ Template-free flexibility (minimal setup) ✅ Standard integrations (no custom dev) Full playbook 👇 https://lnkd.in/e864kp_R #midmarket #operations #automationROI #scalingops #budgettech

Fresh new insights from the team 💡 ! 5 signs your order automation platform wasn't built for modern operations: 1️⃣ Deployment takes 6+ months per partner 2️⃣ You're paying per-partner pricing 3️⃣ Platform can't handle complex Excel files 4️⃣ Orders-only, no other document types 5️⃣ Format changes break everything A National Electrical Distributor's platform couldn't process supplier pricing sheets. 40+ suppliers, 100% manual. Their "automation" couldn't touch Excel complexity. Modern AI: One-template, comprehensive coverage, adapts automatically. Full breakdown 👇 https://lnkd.in/epVmcGke #supplychain #legacysystems #modernops #digitaltransformation

Did you know?! The hidden cost of template-based data extraction: 40 vendors = 40 templates to maintain When formats change (and they always do), someone has to: → Debug what broke → Update the template → Test and redeploy → Backfill failed extractions One distributor spends $7,200-9,000 annually just keeping templates working. At 100 vendors, that becomes $30,000/year in maintenance costs. We just broke down why "one template per vendor" doesn't scale—and what actually works when you're processing documents from dozens of suppliers. 👇 https://lnkd.in/eHzubpJK #DataExtraction #AI #Automation #OperationsTech

'Tis the season for... freight invoice reconciliation nightmares? 🎄📦 While everyone else was shopping online and maxing out shipping volumes, your operations team is buried under 400+ carrier invoices. Peak season surcharges. Residential delivery fees. Dimensional weight "adjustments." That one 3PL who definitely overcharged you but you won't have time to dispute until February. Holiday cheer: 0/10 Billing errors catching up with you in Q1: 10/10 We wrote about why manual freight invoice reconciliation doesn't scale (spoiler: it costs $66K+ annually and you're missing 40% of overcharges). And more importantly, what actually works when you're processing hundreds of carrier invoices monthly. Perfect holiday reading for anyone who'd rather not start 2025 buried in Q4 freight invoice chaos: https://lnkd.in/exUYaNug May your shipments be tracked and your invoices be accurate. 🎁 #Logistics #Freight #HolidayShipping #SupplyChain #3PL

Mitch just recorded a demo breaking down the three ways to use AI with spreadsheets—and why two of them don't actually solve the automation problem. Worth the watch if you're dealing with recurring supplier files. 👇 #AI #Excel #Automation #OperationsEfficiency

The Excel + AI space is heating up! But not all "AI for Excel" is solving the same problem... When looking at what's happening in the space, there are three distinct layers of spreadsheet automation, and understanding which one you need matters: Layer 1: AI Copilots (Microsoft Copilot, formula generators) Helps you work faster inside Excel. Write formulas in plain English, generate pivot tables, create charts. Best for: Individual productivity, ad-hoc analysis Limitation: You're still manually opening files and working with them Layer 2: LLM File Handling (Claude, Gemini, ChatGPT with file uploads) Process individual spreadsheet files on-demand. Upload a complex pricing sheet, ask AI to extract specific data. Best for: One-off complex spreadsheet tasks Limitation: Human-in-the-loop required, no seamless automation, and can get tricky to get it right if part of document process. And Layer 3: End-to-End Automation (Workflow automation platforms) Fully automated recurring workflows. Extract → reconcile → integrate. Best for: Operations teams processing multiple recurring files monthly Limitation: Requires workflow setup and integration The key insight 💡 Layer 1 makes you faster. Layer 3 eliminates the work entirely. If you're processing the same pricing sheets every week, you don't need a faster way to work with Excel —you need to stop touching Excel altogether. Full breakdown here! https://lnkd.in/e4e9EHyG #AI #Excel #Automation #OperationsExcellence #BusinessIntelligence