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.
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.
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.
Intelligent Demand Forecasting
Fully automated ML forecasting engine supporting different time horizons, product groups, and forecast targets.
Integrated Supply Chain Planning
One-click generation of all plans (MPS/MRP/DRP/Inventory) — all departments plan from the same demand signal.
Network Design
Warehouse site selection, coverage optimization, and network structure design balancing service level with logistics cost.
Multi-Echelon Inventory
Multi-tier inventory strategy optimization from central to regional warehouses, reducing holding costs while maintaining service levels.
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
Demand Forecasting
Sales prediction based on historical data and external factors, driving precise replenishment and inventory optimization.
Production Planning
Multi-factory, multi-line scheduling optimization considering capacity, process, and equipment constraints.
Warehouse Network Design
Warehouse site selection, inventory strategy, safety stock calculation — balancing service level with holding costs.
Transportation Optimization
Multi-modal routing, vehicle scheduling, and time-window constraints to minimize logistics costs.
Advanced Optimization
Multi-Objective Optimization
Simultaneously optimize cost, lead time, service level, and other competing objectives to generate Pareto-optimal solution sets.
Real-Time Dynamic Replanning
Generate adjustment plans in seconds when facing demand fluctuations, capacity changes, or transportation disruptions.
Stochastic Optimization Under Uncertainty
Quantify uncertainty with probabilistic models and make robust decisions with imperfect information.
Application Scenarios
Manufacturing Scheduling
Multi-factory, multi-line intelligent scheduling to auto-generate optimal production plans.
Retail Replenishment & Inventory
Intelligent demand forecasting, automated replenishment, balancing stock-out risk with inventory cost.
Logistics Network & Dispatch
Warehouse site selection, route planning, vehicle dispatch — road, rail, and waterway multi-modal.
Multi-Plant Coordination
Capacity balancing, raw material sharing, and order allocation across production sites.
Commodity Transport Scheduling
Multi-modal transport optimization from source to terminal, considering vehicle, time-window, and cargo constraints.
What-if Scenario Simulation
Hypothesis analysis and plan comparison, helping management make data-driven decisions and quantify risk.