SIKKAU

Supply Chain & Operations Research

Using mathematical models and optimization algorithms to find globally optimal solutions — what to buy, how much to produce, where to store, how to ship.

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Core Technology Partner

Convect AI— The #1 AI-Native Supply Chain Platform

Our operations research capabilities are powered by the core algorithm engine from Convect AI. Convect AI is a world-leading AI-native supply chain management platform. Founded by PhDs from Stanford, UC Berkeley, Tsinghua, and Zhejiang University, the team has led supply chain optimization R&D at Apple, JD.com, Facebook, and LinkedIn. Convect AI’s pioneering end-to-end concurrent planning approach breaks through the limitations of traditional sequential planning, enabling simultaneous optimization across procurement, production, inventory, and logistics.

Franz Edelman Laureate · INFORMS Fellow
End-to-end concurrent planning, full-chain optimization
Serving enterprises like Yili Group, saving tens of millions annually
Flow Platform · AI Decision API
Stanford / Berkeley / Tsinghua / ZJUApple / JD / Meta ExperienceINFORMS FellowFranz Edelman AwardLearn about Convect AI →

CONVECT FLOW PLATFORM

Flow Optimization Platform

Convect Flow puts the entire supply-demand network in a holistic view, matching supply and demand at the most granular level, enabling companies to better serve customers at lower cost.

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Intelligent Demand Forecasting

Fully automated ML forecasting engine supporting different time horizons, product groups, and forecast targets.

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Integrated Supply Chain Planning

One-click generation of all plans (MPS/MRP/DRP/Inventory) — all departments plan from the same demand signal.

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Network Design

Warehouse site selection, coverage optimization, and network structure design balancing service level with logistics cost.

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Multi-Echelon Inventory

Multi-tier inventory strategy optimization from central to regional warehouses, reducing holding costs while maintaining service levels.

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Intelligent Replenishment

AI-driven automated replenishment strategies that respond to demand changes in real-time, preventing stockouts and overstock.

AI Decision API

Out-of-box decision optimization API collection covering the most common supply chain optimization problems — no algorithm development needed.

OPERATIONS RESEARCH

What is Operations Research?

Enterprise procurement, production, warehousing, and transportation form a complex decision landscape. Traditional approaches rely on gut feeling. We use AI + mathematical optimization to compute globally optimal solutions in minutes, helping enterprises reduce costs and improve efficiency.

30%+

Average inventory reduction

15%+

Logistics cost savings

10x

Decision speed improvement

Core Optimization Domains

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Demand Forecasting

Sales prediction based on historical data and external factors, driving precise replenishment and inventory optimization.

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Production Planning

Multi-factory, multi-line scheduling optimization considering capacity, process, and equipment constraints.

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Warehouse Network Design

Warehouse site selection, inventory strategy, safety stock calculation — balancing service level with holding costs.

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Transportation Optimization

Multi-modal routing, vehicle scheduling, and time-window constraints to minimize logistics costs.

Advanced Optimization

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Multi-Objective Optimization

Simultaneously optimize cost, lead time, service level, and other competing objectives to generate Pareto-optimal solution sets.

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Real-Time Dynamic Replanning

Generate adjustment plans in seconds when facing demand fluctuations, capacity changes, or transportation disruptions.

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Stochastic Optimization Under Uncertainty

Quantify uncertainty with probabilistic models and make robust decisions with imperfect information.

Application Scenarios

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Manufacturing Scheduling

Multi-factory, multi-line intelligent scheduling to auto-generate optimal production plans.

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Retail Replenishment & Inventory

Intelligent demand forecasting, automated replenishment, balancing stock-out risk with inventory cost.

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Logistics Network & Dispatch

Warehouse site selection, route planning, vehicle dispatch — road, rail, and waterway multi-modal.

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Multi-Plant Coordination

Capacity balancing, raw material sharing, and order allocation across production sites.

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Commodity Transport Scheduling

Multi-modal transport optimization from source to terminal, considering vehicle, time-window, and cargo constraints.

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What-if Scenario Simulation

Hypothesis analysis and plan comparison, helping management make data-driven decisions and quantify risk.

Ready to Start?

Get in touch to discuss your needs.