FourKites connects supply chain planning and execution with AI Inventory Twin upgrades

FourKites connects supply chain planning and execution with AI Inventory Twin upgrades
(FourKites connects supply chain planning and execution with AI Inventory Twin upgrades/credit image/piro4d-chain-2366132_1280/PIRO)FourKites has released significant enhancements to Inventory Twin, the inventory intelligence layer within the FourKites Intelligent Control Tower. FourKites say the new capabilities close the disconnect between supply chain planning and execution. This is one of the most persistent gaps in enterprise supply chains.

The company says the new capabilities provide real-time execution intelligence into inventory planning. This gives S&OP teams the operational visibility they have never had. Sales and Operations Planning (S&OP) teams plan in monthly and weekly cycles using demand forecasts, supply plans, and static inventory snapshots pulled from ERP systems.

Logistics teams execute in real time using shipment data, carrier updates, and facility-level events. These two worlds rarely connect. When a shipment is delayed, a carrier misses a pickup, or a port backs up, the impact on inventory positions and customer commitments does not surface in the planning layer until it is too late to respond. Inventory Twin changes that by continuously feeding real-time execution data into the planning process.

Real-Time risk detection with financial context

Inventory Twin tracks stock, supply, shipments, and demand at every facility. If inventory is expected to fall below safety levels, the system flags risks up to 14 days ahead and details affected products, facilities, orders, and revenue. The Inventory Risk Dashboard shows a live heat map and KPIs like Case Fill Rate, Days of Supply, Orders At Risk, Stock-Out Value, and Inventory Turns.

AI-Generated mitigation recommendations

When a risk is detected, the system reviews stock positions, nearby facility surplus, demand forecasts, and incoming supply over six months. It suggests responses based on cost, speed, and overall network impact. The AI optimises for the whole network rather than just the affected facility.

Multi-facility projection intelligence

Planners can review inventory levels at up to five distribution centres at once, organised by how close they are to the location facing risk. They can interactively view projections of Available Stock compared to Surplus on a daily, weekly, or monthly basis. Transfer decisions are made based on anticipated stock positions, not just current inventory.

From recommendation to execution in one system

Once a planner approves a stock transfer recommendation, it is sent straight to FourKites Booking Connect. AI automatically picks the best carrier, arranges the freight, and starts tracking. The recommendation turns into an actual shipment, rather than just a spreadsheet entry or email to the logistics team.

Everything happens within a single platform: Order Twin signals demand, Shipment Twin tracks shipments while they’re in transit, Booking Connect manages freight execution, and Inventory Twin completes the process with updated forecasts.

Matt Elenjickal, CEO and Founder of FourKites ( image credit - LinkedIn/Matt Elenjickal)
Matt elenjickal, ceo and founder of fourkites

The supply chain industry has spent decades building planning tools and execution tools separately. Then wondering why they do not talk to each other,” said Matt Elenjickal, CEO and Founder of FourKites.

S&OP was designed for a world of monthly planning cycles. Supply chains move in real time. Inventory Twin brings execution reality into the planning process, so when a disruption happens, the planner sees the impact, gets a recommended fix, and executes it immediately. That is what S&OP should have always been.”

Recently, FourKites unveiled a new Oceans Booking platform powered by Agentic AI. Booking Connect for Ocean is the latest component of the FourKites intelligent control tower. The new solution will automate several components of the Ocean Freight Booking processes.

These include contract management, carrier selection, documentation, and exception handling. All these activities require managing complex documentation, container loading, customs clearance, and long transit times.

Enterprise Times: What this means for business

Improvements to FourKites’ Inventory Twin mark a key change in supply chain management by bridging planning and execution. S&OP teams typically rely on periodic, static data, while logistics teams respond to real-time events. This can lead to delays in managing disruptions. By injecting live execution intelligence directly into the planning process, Inventory Twin allows organisations to real life issues.

These could include potential stock-outs or shipment delays, and act proactively. This real-time visibility transforms static inventory snapshots into dynamic, actionable insights, ensuring that operational decisions are always based on the most current information available.

For supply chain professionals, this means a more agile and responsive operation. Planners can now detect risks up to 14 days in advance, receive AI-generated recommendations for mitigation, and execute those actions seamlessly within a single platform. The integration of financial context and multi-facility intelligence further enables teams to optimise inventory across the network, not just at individual sites.

Ultimately, these advancements support businesses to move from a reactive approach to a proactive. This should help orchestrate supply chains with improving service levels, reducing costs, and strengthening customer commitments.

The post FourKites connects supply chain planning and execution with AI Inventory Twin upgrades appeared first on Enterprise Times.


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