ThroughPut.AI., the Gartner-recognized Industrial AI Supply Chain Analytics and Decision Intelligence pioneer, has officially announced the launch of new inventory management capabilities. These capabilities, on their part, are meant to help businesses drive higher profitability through powerful working capital spend projections, real-time inventory predictions, and dynamic rebalancing and replenishment recommendations. According to certain reports, the stated solution allows businesses to leverage advanced visibility and actionability for the purpose of managing their SKU’s, customers, locations, and supply chain end-points. By doing so, these businesses should be able to increase inventory turns, ensure rapid availability of fast-moving products, and reduce safety stock and carrying costs. Furthermore, the new capabilities in question also make it possible for businesses to achieve unprecedented availability, unlock capital, improve operational efficiencies, and boost margins. Making the whole value proposition even better, though, is the presence of ThroughPut’s patented, award-winning AI and Machine Learning supply chain decision intelligence platform, which can work alongside your existing diverse data systems to enable rapid detection of where exactly the capital allocation is insufficient, predict outcomes, as well as make recommendations that help you business accelerate goods movement, revenue, and margins. Talk about the given runner on a slightly deeper level, we begin from how these new capabilities focus on projecting working capital spend optimization. You see, the beneficiaries of ThroughPut’s latest brainchild can seamlessly bank upon the new algorithms to identify when and where capital is unnecessarily tied-up, or where it needs to be supplemented to optimize flow of goods, cash, and profits.
Next up, we must dig into how users can reduce their overall spend, and at the same time, recognize opportunities to save money. More on the same would reveal a facility to identify specific SKUs on which spend can be safely reduced to enhance cost savings without compromising on product quality or service levels. Then, there is an AI-powered predictive analytics feature treading a long distance to ensure that customers can receive actionable insights, predictions and recommendations on everything, ranging from inventory turnover rates to potential stockouts. This they can eventually apply to make proactive informed decisions that scale up inventory performance in the long run.
“ThroughPut.AI’s enhanced working capital management capabilities show our customers where their excess working capital lies, where their operations are underfunded, and projects how these gaps should best be optimized,” said Seth Page, Chief Operations Officer and Head of Strategic Partnerships at ThroughPut.AI.
Rounding up highlights for us, though, is an advanced demand sensing functionality, which is understood to be well-equipped when it comes to helping users move beyond traditional demand forecasting with stale assumptions and old data. Instead, it guides you to realize more accurate dynamic demand sensing to rapidly move against shifts in market trends and customer priorities.
Founded in, ThroughPut.AI’s rise up the ranks stems from being a Decision Intelligence leader that puts Industrial material flow on Autopilot by leveraging existing enterprise data to achieve superior business, operations, financial and sustainability results. In essence, the company is known for improving upon material flow and free-cash-flow across the entire end-to-end value chain, and that too, at a much faster clip than leading contemporary and legacy solutions. To further validate ThroughPut.AI’s excellence in what it does, we must acknowledge how it is led by seasoned serial entrepreneurs with real-world AI, Supply Chain, Manufacturing, Transportation and Operational experience, experience which came from their stints at leading Fortune 500 Industrial Companies & pioneering Enterprise Technology companies.
“With advanced AI algorithms optimizing operations for financial analytics, insights, decision intelligence, and recommendations, we enable organizations to plan the best scenario for inventory spend down to the per SKU, per route, per location, per source, levels, so that they may cater to true demand at all times, whether sudden, seasonal, cyclical, or previously “unpredictable.” You can better analyze, predict and prepare for all these situations and many more by leveraging your existing diverse data systems with operational AI to achieve greater financial results,” said Page.
