Hundreds of tech tools. Countless logins and passwords. Real estate owners are overwhelmed. With hundreds of technology tools at their fingertips, multifamily owners are increasingly hesitant to embrace yet another point solution with: • Another login and password • Another annual fee • Another data stream • Another training requirement Three categories are emerging with the solution: 1. The PMS app store: • Open ecosystems for verified property tech solutions • Developer-friendly APIs for seamless tool integration • Curated selection of solutions across maintenance, smart devices, and operations AppFolio's Stack offers 50+ verified integrations, balancing choice with quality control. 2. Vendor management platforms: • Centralized oversight of all property vendors (tech and physical) • AI-powered contract analysis to identify cost overlaps • Crowdsourced reviews and recommendations for vendor selection Revyse helps owners consolidate vendors and typically saves $200/unit/year through spend optimization. 3. Integration hubs: • Workflow automation across property management tools • No-code platform for connecting multiple solutions • Custom branded resident experience builder Venn connects 150+ applications, letting operators create automated workflows and white-label experiences. But we’re still in the early days. For context: While AppFolio offers 50 curated tools, HubSpot has 1,700 and Salesforce has 5,100. The future isn't about more apps. It's about making existing tools work better together. What's your experience with PropTech fatigue? Share below. For the full deep dive, check out the link in the comments.
Streamlining Daily Tasks
Explore top LinkedIn content from expert professionals.
-
-
Is it possible to save money with a scalable menu? When we launched The Lime Truck, we were burning through cash. We had inconsistent supplies so we had to be creative with new menu items daily. New ingredients daily, wasted prep, and inefficient processes were eating our profits. Sure, it was fun, and it even created some buzz. But let me tell you, it wasn't sustainable. There were days we felt like we were going insane. That's why I preach this to every aspiring restaurateur: A well-crafted, scalable menu is your secret weapon for keeping your concept tight, your operations smooth, your finances in check, and your back-of-house sane. Here's how it saves you money: ❇️ Streamlined inventory: No overstocking on rarely-used ingredients that end up as waste. ❇️ Bulk purchasing power: Buying larger quantities of fewer items means better deals from suppliers. ❇️ Efficient prep: Your team becomes experts at making a set number of dishes, reducing labor costs and food waste. ❇️ Predictable food costs: It's easier to maintain consistent margins when you're not constantly recalculating for new dishes. Here's how to do it: 1️⃣ Start by nailing down your concept. What's your food truck's soul? Once you've got that, build a tight menu around it – we're talking 8 items max. 2️⃣ Balance creativity with practicality. Sure, that deconstructed, liquid nitrogen-infused taco might be Instagrammable, but can you crank it out during a lunch rush without losing your mind (or your shirt)? 3️⃣ Think about your prep, both on and off the truck. There are so many other things at play here. From sourcing, staff training, pricing strategies, and even dietary restrictions… Dive deeper here: https://lnkd.in/gJW4HPzd #Restaurants #Hospitality #SmallBusiness #Business #Entrepreneurship
-
🚀 AI is officially becoming the biggest competitive advantage in Commercial Real Estate. Over the past few months, Will Bockoven and I have been testing different AI tools across brokerage, underwriting, marketing, and operations, and the impact has been unbelievable. These tools aren’t “nice to have” anymore… they’re the new baseline. Here are the top AI tools that are actually transforming our CRE workflow right now: 🔹 ChatGPT My all-around CRE assistant. Drafts LOIs, proposals, market narratives, underwriting explanations, and client emails in minutes. Huge time-saver. 🔹 NotebookLM This one is ridiculously powerful. Upload an OM, lease, financials, or internal docs, and it generates summaries, insights, cross-market comparisons, and now even podcast + video explanations of the materials. This is perfect for onboarding new staff and turning complex documents into fast, digestible tutorials. 🔹 Gamma.ai If you need pitch decks, investor summaries, or clean presentations, Gamma handles it instantly. Great for raising capital or recapping deals. 🔹 Lindy ai Think of Lindy as your operational AI teammate. It auto-schedules follow-ups, manages workflows, and now generates compelling reports that look like they came from a research team. Fantastic for keeping clients and partners updated. 🔹 Genspark.ai One of our personal favorites. It turns raw data into beautiful market visuals, submarket comparisons, and polished graphics instantly. Perfect for OMs, LinkedIn posts, and investor updates. 🔹 Manus.ai Honestly, this tool keeps surprising us. Yes, it can turn rough notes into clean, professional writing… but it can also build full websites, deal rooms, and project hubs that look and function incredibly well. The efficiency is next-level. ✅ Why this matters for CRE These tools help us: ✔ Save hours every week ✔ Produce better materials faster ✔ Improve client communication ✔ Speed up underwriting & analysis ✔ Train staff more effectively ✔ Stay ahead in a very competitive market And most of them cost $20/month or less. The ROI is enormous. What AI tools are you using in your business? 💭 I'd love to hear your feedback in the comments! 👇 Summit Commercial Group
-
+3
-
📊 Struggling with project delays, fragmented data, and manual reviews? Imagine a world where real estate project management isn’t hindered by siloed teams and disconnected workflows, but propelled by intelligence and integration. In today’s high-stakes real estate and infrastructure sector, the proliferation of point solutions and a patchwork of spreadsheets has created a digital labyrinth, slowing down coordination and eroding margins. Teams are forced to juggle disconnected systems for design, cost, procurement, and reporting—where data is trapped in silos and critical decisions are delayed by manual reviews and version control chaos. What if we leveraged AI to unite these disparate tools into one consolidated delivery platform? AI-powered project management can automate repetitive tasks, instantly review and flag anomalies in design documents, perform commercial benchmarks against global best practices, and generate adaptive workflows tailored to project realities. As McKinsey notes in their 2024 study, “Reimagining Construction Productivity with AI,” the potential for AI-driven platforms to transform productivity is immense, suggesting efficiency gains of up to 20%—including faster design reviews and more accurate forecasting. Deloitte’s 2023 publication, “AI and the Built Environment,” identifies process automation and predictive analytics as major levers for reducing errors and accelerating decision-making in construction and real estate. And as PwC highlights in their 2024 report, “The Future of Real Estate Technology,” integrating automation with human expertise leads to cost optimization, data-driven design, and more adaptive governance across complex portfolios. Real transformation happens when data isn’t just connected—it’s harmonized by intelligent engines that automate reviews, uncover trends, and create actionable insights. The result: streamlined approvals, better resource allocation, and projects that truly deliver on cost, quality, and speed. 🏗️ 🤖 The future of real estate isn’t about managing myriad workflows—it's about orchestrating intelligence. Industry leaders must invest in platforms that harness, not hinder, decision-making. Let’s shape the next era together: where every project is powered by insight, not just oversight. #ArtificialIntelligence #PropTech #RealEstateInnovation #ProjectManagement #ConstructionTechnology #DigitalTransformation #SmartInfrastructure #FutureOfWork
-
Don’t make the same mistake I did over the last two years. If you’re planning to run a food joint, let me give you one important piece of advice: Keep your menu as small as possible. When we started Salad Time, I was excited to offer customers as many options as I could. ✅ I included every salad I could think of using available ingredients. ✅ Added wraps and sandwiches for more variety. ✅ Then exotic toasts because they were trending. ✅ Lastly, a full range of cold-pressed juices with multiple combinations. Sounds great, right? But soon, my menu turned into an 8-page booklet, and sales didn’t grow as expected. Even stranger, when I introduced lower-priced items, my monthly sales went down. Here’s what I learned: 1️⃣ Decision fatigue is real. Most people are already overwhelmed with decisions throughout the day. A long menu just adds to that stress, making it harder for them to choose. 2️⃣ More options don’t mean higher orders. Customers won’t order both; they’ll choose this or that, not both. 3️⃣ Cheaper options can hurt revenue. If someone can satisfy their hunger for ₹150, they won’t spend ₹250. Offering lower-priced items can lead to missed opportunities. 4️⃣ Your staff’s focus matters. A large menu stresses your team—they’ll make everything, but nothing will stand out as your specialty. My Golden Rules for Menu Design: 1️⃣ Keep your menu to 1 or 2 pages max. 2️⃣ Don’t try to offer every option in every category. 3️⃣ Review your menu regularly—remove items that don’t sell well. 4️⃣ For every new addition, remove something else. Want to add 1 item? First remove 1 item. Remember: Less is more. A simple, focused menu isn’t just easier for customers—it’s better for your business. #RestaurantTips #MenuDesign #FoodBusiness #CustomerExperience #LessonsLearned #LessIsMore #HospitalityInsights
-
Most real estate agents I know are drowning in marketing tasks that don't move the needle. They manually post content across 5 platforms, spend hours in their CRM updating lead statuses, and customize the same follow-up emails repeatedly. All while wondering why their pipeline isn't growing. Here's what I tell my real estate clients: Your time is too valuable to waste on repetitive marketing tasks that could be automated. The difference between agents who scale and those who struggle isn't how hard they work, it's how intelligently they build systems that work for them. I've helped brokerages implement workflow automations (using tools like Make.com or Zapier) that completely transform their lead generation by handling three key areas: 1. Content multiplication: Build one workflow that takes a single market update or listing and automatically transforms it into multiple formats, Instagram carousel, LinkedIn post, email newsletter, and website blog. One creation, four channels, zero additional effort. 2. Lead qualification and routing: Create intelligent paths for new leads based on their behavior. When someone submits a form on your site, automation can instantly segment them based on price point, buying timeline, or neighborhood interest, then trigger the perfect follow-up sequence. 3. Client journey management: Set up workflows that track transaction milestones and automatically send updates, gather feedback, or request referrals at the perfect moment. This maintains the relationship without requiring your constant attention. I implemented these automations for an agent who saw their lead-to-appointment ratio improve by 37% in just 45 days, not because they generated more leads, but because no lead fell through the cracks. The real estate agents who win in today's market aren't always working 80-hour weeks (the work is still needed, don't get me wrong). They're building intelligent systems that handle the repetitive work, so they can focus on what truly matters: building relationships and closing deals. What marketing task is currently stealing too much of your time? I'd be curious to know what you're trying to automate first.
-
Top Restaurant Chains Are Quietly Cutting 20-40% of Menu Items. Everyone thinks it's about simplification. But it goes far deeper than that. The smart ones understand it's about overall profit model architecture. Chipotle runs 50 ingredients. Creates millions in combinations. Dominates fast-casual. Your 57 item menu though… It's killing you in ways you don't even see. I worked with a restaurant group last year. 63 menu items. Proud of their "variety." Their best seller generated $47 profit per hour. Their mid seller COST them $23 per hour to produce. Both had the same food cost percentage. Here's The Math That Nobody's Teaching: • That chicken dish with 28% food cost? Takes 18 minutes. Requires 3 specialty ingredients. Sells like crazy. • Your burger at 35% food cost? Takes 7 minutes. Uses base ingredients. Sells 30 times daily. One makes money. One bleeds money. The chains cutting menus aren't just simplifying. They're engineering profit at three levels: 1) Food Cost Architecture —> Not just percentages. Ingredient overlap. Cross-utilization. Waste reduction. 2) Operational Efficiency —> Fewer SKUs = faster inventory. Simpler training. Consistent execution. 3) Labor Model Optimization —> Every item requires prep time, cook time, plating time. Complexity compounds. The New Menu Math: → Profit per square foot (not just margin) → Profit per minute (not just food cost) → Ingredient velocity (not just popularity) → Cross-utilization score (not just waste) That "signature dish" your chef loves? If it requires 6 unique ingredients that nothing else uses, it's probably costing you $8K annually in waste alone. A major pizza chain just cut 40% of their menu. Stock price up 23%. Not because they saved on food cost. Because they transformed their overall profit model. Stop thinking menu engineering is about food cost. Start thinking total profit architecture. Your P&L will thank you. 👊🏻 P.S. Want to know which items are secretly killing your profit? Comment "MENU" below. I’ll share an easy place for you to start. P.P.S. If you're still managing menus by food cost percentage alone, you're using a calculator when everyone else has Excel.(or better) Time to upgrade your thinking. #restaurants #menuengineering #restaurantprofitability
-
With the increasing need for real-time insights and advanced analytics, bridging the gap between streaming data and analytical workloads is more critical than ever. Amazon Data Firehose can deliver streaming data directly into Apache Iceberg tables managed by SageMaker Lakehouse, creating a streamlined, low-maintenance data pipeline. This simplifies data workflows by removing barriers between streaming and analytics, empowers teams to build end-to-end analytics and ML solutions in SageMaker Unified Studio, enables real-time AI/ML applications, such as predictive maintenance and supply chain monitoring, by leveraging up-to-the-second data, and utilizes Apache Iceberg for transactional guarantees, schema evolution, and efficient metadata handling. This step-by-step guide and a CloudFormation template help you get started quickly. #AWS #DataEngineering #StreamingData #MachineLearning #Analytics #SageMaker #DataLakehouse #Data #Firehose https://lnkd.in/gfaDRiiU
-
Problem It Solves Accessing large volumes of data from Amazon S3 Standard can introduce latency and throughput bottlenecks, especially in ML, analytics, and high-performance computing workloads that need repeated or rapid access to the same data. Blog Summary The blog introduces a solution that uses Amazon S3 Express One Zone as a caching layer for S3 Standard. It sets up a data transfer pipeline using AWS Step Functions and AWS DataSync to move frequently accessed data into S3 Express. This reduces access time and boosts performance significantly. In a test, ~2.9 TiB of data was transferred in 4 minutes 25 seconds at a cost of ~$20, enabling faster and lower-latency compute access. https://lnkd.in/e9m4YHmH Pablo Scheri
-
🚀 Empower Gen AI on AWS: Data Engineering Essentials In today’s fast-paced AI landscape, AWS offers a powerful platform for building secure, scalable, and agile data pipelines. Data engineers are pivotal in transforming raw data into a launchpad for generative AI. Here’s how to streamline your data strategy using AWS: --- 🔹 Centralize Your Data Utilize Amazon S3 with AWS Lake Formation to create a secure, centralized data lake. This setup simplifies data ingestion, enforces governance, and makes your data readily available for AI training. 🔹 Stream Real-Time Data Leverage Amazon Kinesis to capture and process live data streams. Real-time ingestion ensures that your generative AI models always work with the most up-to-date insights, driving rapid innovation. 🔹 Orchestrate Complex Workflows Adopt Amazon Managed Workflows for Apache Airflow (MWAA) to automate and coordinate your data pipelines. Pair it with Amazon EMR Serverless to run big data processing jobs on demand—without managing server infrastructure—optimizing both cost and scalability. 🔹 Enhance Observability Build a robust observability platform using Amazon CloudWatch and Managed Grafana. With custom dashboards and real-time alerts, you can proactively monitor performance, detect anomalies, and quickly resolve issues in your pipelines. 🔹 Index Data for LLM Insights Explore Amazon OpenSearch Service to index your data. This not only accelerates search and analytics but also serves as a rich knowledge base for large language models, enhancing contextual responses and insights. 🔹 Secure Your Infrastructure Implement best practices with AWS Identity and Access Management (IAM) for fine-grained access control and AWS Key Management Service (KMS) to encrypt data at rest and in transit. Security and compliance are non-negotiable for long-term AI success. --- By integrating these AWS services, you create a resilient, agile foundation that powers generative AI. Centralize your data, enable real-time processing, automate workflows, and maintain robust observability and security to unlock new levels of innovation. #AWS #GenAI #DataEngineering #CloudNative #AI #BigData #Innovation