@throughput_inc profile picture
ThroughPut.ai @throughput_inc

De-bottlenecking the world's most complex industrial operations and institutions using patented AI.

Joined March 2017
  • Tweets 1,892
  • Following 1,070
  • Followers 375
775 Photos and videos
Tariffs will immediately hit two areas the most: 1. Commercial Sales 2. Production (Maintenance/Manufacturing) For sales: rapid inventory rebalancing is the key to prevent lost/unprofitable sales. For production: rapid inventory rebalancing is the key to prevent lost uptime.
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Prepare for tariffs by using our inventory rebalancing capabilities so you are not losing money on sales or creating downtime for parts @WhiteHouse.
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We can factor in how tariffs dynamically impact your inventory positioning @WhiteHouse @marcorubio @SecDuffy .
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Here's how the tariffs impact the Automotive Industry @WhiteHouse @VW @Ford @Tesla @Toyota @Hyundai whitehouse.gov/presidential-… We solve this for complex operations this way: throughput.world/blog/spare-…

Adjusting Imports of Automobiles and Automobile Parts into the United States

BY THE PRESIDENT OF THE UNITED STATES OF AMERICAA PROCLAMATION 1.  On February 17, 2019, the Secretary of Commerce (Secretary) transmitted to me a report

whitehouse.gov
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How many more airplane incidents are you going to have before you use @ThroughPut to find parts internally (since you don't want to spend on new ones)? @Delta @AmericanAir @united @Boeing @Airbus @elonmusk @SeanDuffyWI
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Seems like an overnight shift in the Industrial AI space that IT-centric founders now want to be Operational Domain Experts solving real problems.
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Decision intelligence is the next big thing in supply chain. With so many decisions to make at the strategic and operational level, a little help from a smart tool can go a long way. Discover more about decision intelligence here: hubs.li/Q02Vj1FD0
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For Ready Mix Concrete (RMC) businesses, delivering concrete isn't just about speed, it's a race against time. Read on to find out what we can do for businesses with time-sensitive logistics needs: hubs.li/Q02TnXBB0 #throughput #cement #supplychainmanagement #logistics

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There is no doubt about the potential of AI. If there’s any concern at all, it is surrounding the implementation and adoption of this technology. Here are the top 12 challenges companies face in AI implementation. Source: hubs.li/Q02TnJvx0
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Dealing with a long #ERP upgrade? No #datalake? Those things shouldn’t hold you back from improving your #supplychain in real-time. For ex, ThroughPut can easily handle your CSV files, Excel sheets, or whatever format you’re using.
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Pro Insight: #Realtimedata is the backbone of efficient inventory management. Without it, you're essentially "guessing" on stock levels. Look for software that gives you live insights into your supply chain, helping you respond to demand instantly. hubs.li/Q02PXQbC0
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McKinsey reports that early adopters of AI in supply chain has seen as much as: 🡅 35% improvement in inventory levels 🡅 15% reduction in logistics costs 🡅 65% enhancement in service levels For detailed insights, check out this blog: hubs.ly/Q02MGhyh0

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There are two ways to forecast demand: 1) Make guess-stimations and hope it’s accurate 2) Sense demand in the near term and know it will be accurate Which of the two are you using? #demandsensing #supplychain #demandforecasting
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AI has the potential but... Where most supply chains struggle when it comes to implementation of AI is: 1. System complexities 2. Scalability 3. Cost of training 4. Operational costs 5. Myths about data Read more about AI in supply chain: hubs.ly/Q02MGgV70
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Safety stock is important to tide over uncertainties and disruptions. But how are you calculating your safety stock? ThroughPut looks at your data and chalks out suitable stock levels for each SKU. hubs.ly/Q02MGlLn0

Use Case - AI-Powered Inventory Optimization Software | ThroughPut.AI

ThroughPut’s AI-powered inventory optimization software helps manage demand variance, market uncertainty, and supply chain risks for optimized, resilient operations.

throughput.world
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A common problem statement we hear from potential customers is... "How can we be 100% sure that we're using our manufacturing capacity to the maximum before investing in more?" That's a question that we can answer for you. 😊 hubs.li/Q02KY89z0
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You've got it backward: It’s not about having the best AI tool. It’s about having a clear problem statement first. P.S.: Yes, ThroughPut AI is an advanced supply chain tool. But with every customer, we begin by defining the problem statement. There’s no shortcut around that.
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Stop overstocking on buffer inventory. A static buffer management approach ties up working capital and risks making your products obsolete. Switch to dynamic buffer management. Learn more: hubs.li/Q02KVS3B0 #inventorymanagement #supplychainsoftware #throughput
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Good news 💚: 94% of business leaders agree that AI is critical to success over the next five years. Bad news ⚠: Almost half if not more of AI initiatives fail. It is no different in supply chain. In your experience, why are the outcomes of AI deployments lagging?
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If you are in supply chain, opportunity will not come knocking at the door. You need to: 👀Have full visibility into your entire supply chain ⭐Identify "opportunities" for cost optimization and revenue 📈 Prioritize those "opportunities" with faster time to value
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