The pandemic has resulted in a global economic disruption which has highlighted pre-existing loopholes in global supply chains. Lack of digital connectivity has made it hard to tie together global operations for supply chains, including inbound and outbound logistics.In the wake of the repercussions from COVID19, speed in decision-making, speed in reducing cycle-times, speed in operations, and speed in continuous improvement- this is the prerequisite for a resilient logistics system. Supply chain managers around the world are now updating their supply chain operations to cater to elevated demand, availability of global vendors, and updated customer data.
As global supply chains are increasing in complexity, the margin for error is rapidly shrinking. With increasing competition in a connected digital world, it becomes even more critical to maximize productivity by reducing uncertainties of any and all kinds. Mounting expectations of supersonic speed and efficiencies between suppliers and business partners.
AI and Machine Learning Forecasting are already beginning to change the face of the logistics industry, which will further exacerbate the divide between the winners and the losers. By culling out deep- rooted inefficiencies and uncertainties, Artificial Intelligence and Machine Learning drive enterprise-wide visibility into all aspects of the logistics value chain, all with granularity and methodologies that humans simply can’t mimic at scale. ThroughPut’s AI-driven demand and inventory planning software is helping deliver the powerful optimization capabilities required for more accurate logistics capacity planning, improved productivity, high quality, lower costs, and greater output, all while fostering safer working conditions.
By implementing AI in supply chain and logistics, logistics managers can enhance their decision making by predicting building- up bottlenecks, unforeseen abnormalities, and solutions in order to streamline production scheduling that otherwise tends to be highly variable due to dependencies on manufacturing operations management. Furthermore, AI can also directly impact bottom line revenue with accurate quantification of expected outcomes across different stages of the logistics value chain and ensure effective scheduling of more optimal alternatives as and when interruptions occur during execution.
By leveraging ThroughPut’s AI-focused logistics solution, manufacturers can effectively manage the multifaceted process involved right from the production cycle to the delivery of raw materials to shipping the finished products to the consumers. All of this with minimal operational costs and delivery speed while catering to rising demand and complex processes.
" Without halting any on-going digital implementations or throwing out existing systems, ThroughPut provides a muchneeded solution to rebalance the entire end-to-end supply chain flow on a single platform that incorporates existing siloed data stores, systems and warehouses "
ThroughPut.ai is a Silicon Valley-based Supply Chain AI startup that puts industrial material flow on autopilot by leveraging existing enterprise data. ThroughPut’s AI software predicts demand, reorients production capacity, reassigns warehouse space, and reorders materials optimally, so businesses minimize overpromising and under-delivering. By way of ThroughPut’s “super-connector” software that sits on top of existing data architecture, ThroughPut improves material flow and free cash flow across the entire end-to-end value chain fully 5-times faster than leading contemporary solutions. The founding team is led by seasoned serial entrepreneurs with real- world AI, Supply Chain, Manufacturing and Operational experience, from the shop-floor to the top-floor, at leading Fortune 500 Industrial Companies & Enterprise Technology companies.
The company announced several platform updates to its new high- impact Demand Sensing software module. These new capabilities will help Demand Planners, S&OP Professionals and Supply Chain Managers to rapidly free up existing manufacturing capacity, gain additional throughput potential, create concrete productivity gains and boost financial impact amidst ever-growing supply and demand uncertainty.
The unprecedented challenges laid bare by the COVID-19 pandemic have pushed companies to shift from yesterday’s status-quo point legacy solutions to a new generation of data-driven systemic solutions and revamp their supply chain dynamics to better prepare for the future and cement their competitive marketplace advantages. According to Gartner, more than 70% of supply chains globally have been significantly impacted due to COVID-19. Typical challenges with producing reliable forecasts include siloed and manual analysis across hundreds of thousands of SKUs to uncover and optimize the product-mix performance for near-term, seasonal, cyclical and evolving trends.
The world-renowned Theory of Constraints Expert and Throughput Economics Author, Eli Schrangenheim, explained, “The shocks from the COVID-19 pandemic have been multifold – from ups and downs in the demand to choking supply chain capacity to creating extended lags across the supply cycle. ThroughPut’s Demand Sensing solution, coupled with deep understanding of the operational flow, can quickly enable companies to build resilience against future demand and supply chain shocks in the post-covid world.”
As companies slowly crawl-back to the “new normal”, global leaders have started working towards repurposing their operations to respond with greater agility to demand uncertainty, unforeseen market changes, and new industry trends. The demand planners and S&OP teams need to create a more accurate picture of their true demand to evaluate lost sales opportunities and uncover new executable insights to re-capture and grow their markets going forward.
“As the pandemic enters into its second year, companies are working towards predicting lead times and stocking levels more accurately. Supply chain leaders can leverage AI on their historical and current data to re-optimize existing capacity, while effectively prioritizing demand fulfillment using more frequently-generated, recent and real-time data,” explained Ali Raza, CEO of ThroughPut Inc. “Without halting any on-going digital implementations or throwing out existing systems, ThroughPut provides a much-needed solution to rebalance the entire end-to-end supply chain flow on a single platform that incorporates existing siloed data stores, systems and warehouses. The ThroughPut Demand Sensing Module provides the “true North” for supply chains to fulfill.”
ThroughPut Demand Sensing
The ThroughPut Demand Sensing Module empowers demand planners with critical Business Intelligence for holistic and accurate Demand Planning by minimizing silos and bottlenecks between demand and supply teams. ThroughPut’s AI automatically ties existing data together that captures Demand, Capacity, and Supply behaviors, thus automating Inventory Turnover and Free- Cash-Flow improvements. Operational Improvements are now noticeably visible within days with ThroughPut’s Supply Chain AI and effectively surfaced via autopilot to the right decision-making teams.
