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        "title": "Supply Chain Optimization and the Future of Industry | Automation World",
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    "name": "Corvus Robotics",
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    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "Autonomous drones to help warehouses scan inventory.",
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    "industry": "Industrials",
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        "linkedin_url": "https://www.linkedin.com/in/wujackie",
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        "date": "Oct 08, 2024"
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        "title": "Corvus is using drones to track warehouse inventory – TechCrunch",
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    "long_description": "We're a SaaS company with emphasis on Service, and we have a mission:  to improve the happiness of scientists and the quality of their research. \r\n\r\nHappiLabs provides a service called the Virtual Lab Manager. We offer PhD level, former scientists to help with safety and regulatory, product research, lab shopping, negotiating, purchasing, inventory, and bookkeeping. Our software tools, such as the ETA Dashboard and the HappiApp, make it easy to request purchases, manage inventory, and check-in packages upon delivery. HappiLabs also has one of the most extensive databases of product prices. These tools, and experienced humans, make us the smartest lab managers in the world.\r\n\r\nAnother way to think of us is an outsourced purchasing department and/or a personal assistant for your scientists.  \r\n\r\nBased in Chicago, and some presence in San Francisco.\r\n\r\nIf you're a newly funded PI, a startup, small biotech, or work with purchasing as a big pharma/biotech, you can use our help.",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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    "name": "AllSome Fulfillment",
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    "one_liner": "Fulfillment platform to build Southeast Asia e-commerce operations",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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        "full_name": "Ng Yi Ying",
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    "long_description": "We are building an on-demand Fulfillment network and all software tools in a central platform which is required for an Etailer to manage their eCommerce Fulfillment operations.\r\n\r\nEtailers connect all their stores to our platform and send us their inventory. Whenever an order is placed on any of the channels, our Decision Engine allocates order to the nearest Warehouse holding the inventory, and right courier partner to pick & deliver to the end customer.",
    "one_liner": "Amazon-prime like logistics for eCommerce companies in India",
    "team_size": 50,
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    "year_founded": 2019,
    "city": "Bengaluru",
    "country": "IN",
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        "full_name": "Harsh Vaidya",
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        "full_name": "Aayush Mattoo",
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      {
        "id": 71128,
        "title": "Inventory LogIQ: AI-enabled inventory planning for multi-channel consumer brands",
        "tagline": "A planning copilot that surfaces SKU level insights to prevent stock-outs and reduce excess inventory",
        "body": "<https://inventorylogiq.com/>\n\n**PROBLEM**\n\nModern consumer brands that are not able to utilize their inventory well due to uncertainties of multi-channel demand and procurement lead times are at the verge of bankruptcy:\n\n1. **Excess inventory eating into bottom-line** due to high holding cost\n2. **Revenue losses due to Frequent stock-outs** caused by uncertainties in demand, and procurement lead times\n3. Unoptimized placement of inventory leading to **slow shipping speed, and high last-mile costs**\n\n**SOLUTION**\n\n[Inventory LogIQ](https://inventorylogiq.com/) uses AI to dynamically segment SKUs to determine their right placement location, and factors in uncertainties of demand and procurement to automate:\n\n* **Liquidation Plan:** Quickly identify slow-selling items that contribute to inventory bloat, resulting in high inventory holding costs and inflated operational expenses. By optimizing the inventory levels of these items, our tool helps brands reduce excess inventory and increase profitability\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/669cdd4c-e33a-4f9b-812f-9fd4905dc055)\n\n* **Replenishment Plan:** Our tool proactively identifies fast-selling items at risk of stock-outs, preventing lost sales opportunities and ensuring a seamless customer experience\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/be07f00a-5c7f-4574-8685-814d6913663f)\n\n* **Network Optimization Plan:** Our solution enables brands to strategically store the right products at the right locations, in the right quantities. By aligning inventory with demand centers and customers' geographical locations, our tool minimizes shipping timeframes and costs, leading to improved customer satisfaction and loyalty.\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/5b24109c-e603-4e8a-8b1d-bb6b1db7ec5a)\n\n\n**DEMO**\n\n[InventoryLogIQ demo](https://www.youtube.com/watch?v=iRJUbrn9LLQ)\n\n**WHY US**\n\n* Team led by Supply Chain & Data Science experts from companies like **Pitney Bowes, Walmart & Delhivery** with experience of managing $20 BN+ annual GMV\n* Model trained on 500+ brands across verticals and market segments\n* Integration support across all major ERPs, D2C stack, Accounting softwares\n\n**ASKS**\n\n* If you are interested or have any feedback to share, please write to me at [harsh@wareiq.com](mailto:harsh@wareiq.com)\n* I would appreciate introduction to any ecommerce/retail brand looking to solve their excess inventory/stock-out issues",
        "url": "https://www.ycombinator.com/launches/IVE-inventory-logiq-ai-enabled-inventory-planning-for-multi-channel-consumer-brands",
        "votes": 82,
        "created_at": "2023-04-22T12:21:07.118Z"
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    "long_description": "Fountain9 is a predictive inventory planning solution. We help food brands and retailers reduce food wastage and improve product availability by predicting their future inventory needs. \r\n\r\nFood wastage is a global problem that has both financial and environmental costs. An estimated $1.3 Bn tonnes of food is wasted every year and 7 - 15% of that is because of mismanaged inventory. \r\n\r\nWe accurately predict future inventory imbalances which lead to out of stock situations or wastage, and also recommends best ways of minimising their impact. Our state of the art demand sensing and pricing engine takes into account several factors like historical sales trends, seasonality, holidays, markdown events and pricing changes to predict future inventory requirements and optimize prices. Predicted inventory demand is also aligned with supply side data to identify ideal suppliers and replenishment quantities that minimize chances of stock outs or inventory wastage.",
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        "full_name": "Niki Khokale",
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        "title": "Sirdab - Cloud warehousing & transportation services in MENA",
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        "body": "**👋 Hi everyone, we are Naif & Abdulrahman from Sirdab.**\n\n**TL;DR:** Sirdab makes it easy for businesses to acquire dry, ambient, chilled and frozen warehousing space and hire fleets to move inventory through a single dashboard. Today, we manage over 50 warehouses, totaling 400k square meters of space, in 8 cities in Saudi Arabia. \n\n**❌ Problem – Storing and moving inventory in MENA is challenging**  \n\n**1\\. Difficulty in finding suitable solutions:** The conventional approach for businesses is to rent, equip, and operate their own warehouses. The available options are often difficult to discover online and frequently surpass the actual space needs for the business, resulting in underutilized facilities. On the other hand, businesses seeking third-party logistics (3PL) services face a similar challenge in locating a reliable and trustworthy partner.\n\n**2\\. Lack of short-term options:** Regardless of whether a business opts to rent its own warehouse or utilize a third-party logistics provider, it will likely be bound by long-term agreements with limited flexibility.\n\n**3\\. Inefficient inventory management:** As businesses grow, managing inventory across multiple locations becomes increasingly complex and inefficient. Unfortunately, many businesses still resort to using spreadsheet-based methods to manage inventory, lacking a clear record of their inbound and outbound transactions.\n\n**4\\. Challenges in inventory distribution:** For both wholesale and store distribution in Saudi, businesses often face the dilemma of either committing to lengthy contracts or operating their own fleets with subpar utilization efficiency.\n\n**✨ Solution – Hassle-free cloud warehousing & transportation through one platform 🚛**\n\n**1\\. Variety of warehousing space options:** Quickly find and secure dry, ambient, chilled and frozen warehousing space across 8 cities in MENA within 48 hours, for any space you need, starting with 10 square meters.\n\n**2\\. Flexible short-term contracts:** Whether you need the space for a month or a year, we got you covered. Our contracts include options for month-to-month, 6-month, and 12-month durations.\n\n**3\\. Streamlined inventory management:** Have a 360-degree view on your inventory list, track all historical movements, analyze consumption and get notified on shortages. \n\n**4\\. Wide-ranging transportation offerings:** Access a range of FTL, LTL freight offerings as well as parcel and last-mile carriers for store distribution. \n\n![uploaded image](/media/?type=post&id=70086&key=user_uploads/456006/6865d6e7-e9e0-425f-8a92-a473933dbaea)\n\n**💵 Bottom line impact based on traction:** \n\n**Warehousing cost for merchants:** Based on 80+ active clients, Sirdab customers see an average reduction in warehousing costs by 27%. \n\n**Transportation for merchants:** Aside from enhancing delivery times & quality, Sirdab customers have experienced an average decrease in their bulk and last-mile transportation expenses by 12%.\n\n**Warehousing operations for partners:** Along with boosting income and maximizing use of space, our partners are able to streamline their operations, monitor the time needed for order preparation, and have automated billing processes. \n\n**🤝 Quick Ask**\n\n* Spread the word!\n* Follow our journey on [LinkedIn](https://www.linkedin.com/company/usesirdab/) & [Twitter](https://twitter.com/usesirdab?lang=en)\n* If you currently work with a 3PL in the region, or need warehousing space, we would love to chat with you or the appropriate person at your company. Email us at [naif@sirdab.co](mailto:naif@sirdab.co) / [abdulrahman@sirdab.co](mailto:abdulrahman@sirdab.co)",
        "url": "https://www.ycombinator.com/launches/IEQ-sirdab-cloud-warehousing-transportation-services-in-mena",
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        "title": "🤖 AutoPallet Robotics: The future of case picking in warehouses",
        "tagline": "AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.",
        "body": "# TL;DR\n\n* AutoPallet Robotics unlocks automated case picking for existing warehouses. Our novel system delivers rapid ROI by leveraging the current infrastructure to deploy swarms of hundreds of small, agile, mobile robots.\n* Want to get in touch? [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/61c0e05b-c2d2-470a-8248-dcb394bbaeaa)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/0e93dfda-da4f-43f2-8170-dcbef1c80b90)\n\n**Nathan and Eric** met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.\n\n**COO** - [Nathan](https://www.linkedin.com/in/nathanielyee/) brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.\n\n**CEO** - [Eric](https://www.linkedin.com/in/olin-eric/) has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.\n\n# The Problem\n\n**Case picking for order selecting**, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that **over 30 billion cases** are manually moved between pallets annually, resulting in labor costs exceeding **$10 billion** each year.\n\nCurrent automation solutions are prohibitively expensive and fall into two main categories:\n\n1. **Build a new warehouse** with extensive conveyor belt systems, industrial robot arms, and high-density case storage. Costs range from **$100M to $350M per warehouse**.\n2. **Install large mobile robots** that directly replace humans in existing warehouses at a cost of **$300k to $500k per unit**. This high capital expenditure and long ROI period make them infeasible for many businesses.\n\n## Our Solution Is Fundamentally Different\n\nWe've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:\n\n* **Meet or exceed** your current throughput—our robots work in swarms, easily picking tens of thousands of cases per shift.\n* Ensure **resilience** through a decentralized swarm that continues operating even if several robots fail.\n* Optimize **multi-stop deliveries** and create **maximally dense pallets** using an **AI-powered** pallet-building algorithm.\n* Deliver a typical ROI in **less than** **12 months**.\n\n## How You Can Help\n\nWe’re actively seeking **partnerships and collaborations** to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:\n\n* Retailers and 3PLs operating distribution centers\n* Grocery and Broadline Foodservice Distributors\n\nIf this resonates with you or someone you know, please don’t hesitate to reach out! [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)",
        "url": "https://www.ycombinator.com/launches/LeY-autopallet-robotics-the-future-of-case-picking-in-warehouses",
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        "full_name": "Joshua Ibrahim",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Manifold. PhD in Applied Mathematics from Caltech. Previously Software Engineering Intern at Facebook, working on Messenger P2P services and Instagram's misinformation detection systems. MS and BS in Electrical and Systems Engineering from Penn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshibrahim/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2290e4ffd9df33d56490b230a84f5929381117ae.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 112000,
        "title": "Manifold - Robotic labor for the supply chain industry",
        "tagline": "Robotic labor for the supply chain industry",
        "body": "**What if you could hire a robot the same way you hire a temp worker?** \n\nNick grew up working in his family’s 3rd-generation distribution business, where he saw firsthand how much warehouses still depend on manual labor. The obvious answer should have been robotics, but for true labor replacement, existing robots were too expensive, inflexible, and difficult to deploy. As a result, most warehouses still say they’re “not ready” for automation.\n\nNick came together with his best friend Josh, a fellow UPenn alum and PhD at Caltech specializing in safety-critical control for robotics, to solve this problem.\n\nManifold is building robotic labor for the supply chain industry. Its robots perform picking jobs from start to finish faster than humans, with no upfront cost or infrastructure changes. Customers simply pay per pick, at a cost below human labor.\n\nThey’re already deploying robots to perform more than **5 million picks across multiple warehouses.**\n\nIf you’re a warehouse operator, reach out to [nick@manifoldindustries.ai](mailto:nick@manifoldindustries.ai)\n\n<https://youtu.be/jU_UI0pHpBc>",
        "url": "https://www.ycombinator.com/launches/T8S-manifold-robotic-labor-for-the-supply-chain-industry",
        "votes": 4,
        "created_at": "2026-08-24T18:00:00.769Z"
      }
    ]
  }
]