Supply Chain Optimization | Geode Database

<h2 id="supply-chain-optimization" class="position-relative d-flex align-items-center group"> Supply Chain Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="supply-chain-optimization" aria-haspopup="dialog" aria-label="Share link: Supply Chain Optimization"> Share link </button> </h2><div id="headingShareModal" class="heading-share-modal" role="dialog" aria-modal="true" aria-labelledby="headingShareTitle" hidden> <div class="hsm-dialog" role="document"> <div class="hsm-header"> <h2 id="headingShareTitle" class="h6 mb-0 fw-bold">Share this section</h2> <button type="button" class="hsm-close" aria-label="Close"> </button> </div> <div class="hsm-body"> <label for="headingShareInput" class="form-label small text-muted mb-1 text-uppercase fw-bold" style="font-size: 0.7rem; letter-spacing: 0.5px;">Permalink</label> <div class="input-group mb-4 hsm-url-group"> <input id="headingShareInput" type="text" class="form-control font-monospace" readonly aria-readonly="true" style="font-size: 0.85rem;" /> <button class="btn btn-primary hsm-copy" type="button" aria-label="Copy" title="Copy"> </button> </div> <div class="small fw-bold mb-2 text-muted text-uppercase" style="font-size: 0.7rem; 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Geode provides efficient path finding, network analysis, and real-time tracking capabilities. <h4 id="key-capabilities" class="position-relative d-flex align-items-center group"> Key Capabilities <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="key-capabilities" aria-haspopup="dialog" aria-label="Share link: Key Capabilities"> Share link </button> </h4><ul> <li>Route Optimization: Find shortest/cheapest paths for deliveries</li> <li>Inventory Tracking: Monitor stock levels across network</li> <li>Supplier Network Analysis: Identify dependencies and risks</li> <li>Real-Time Logistics: Track shipments and update ETAs</li> <li>Bottleneck Detection: Find congestion points in network</li> <li>Multi-Modal Transport: Optimize across truck/rail/ship/air</li> </ul> <h3 id="use-case-scenarios" class="position-relative d-flex align-items-center group"> Use Case Scenarios <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="use-case-scenarios" aria-haspopup="dialog" aria-label="Share link: Use Case Scenarios"> Share link </button> </h3> <h4 id="1-last-mile-delivery-optimization" class="position-relative d-flex align-items-center group"> 1. Last-Mile Delivery Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="1-last-mile-delivery-optimization" aria-haspopup="dialog" aria-label="Share link: 1. Last-Mile Delivery Optimization"> Share link </button> </h4>Challenge: Minimize delivery time and cost for final leg to customers Solution: Model delivery network with: <ul> <li>Warehouses and distribution centers</li> <li>Customer locations</li> <li>Routes with distance, time, traffic</li> <li>Vehicle capacity constraints</li> </ul> Benefits: <ul> <li>Reduced delivery times (15-30%)</li> <li>Lower fuel costs (10-20%)</li> <li>Improved customer satisfaction</li> <li>Dynamic route adjustments</li> </ul> <h4 id="2-multi-tier-supplier-network" class="position-relative d-flex align-items-center group"> 2. Multi-Tier Supplier Network <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="2-multi-tier-supplier-network" aria-haspopup="dialog" aria-label="Share link: 2. Multi-Tier Supplier Network"> Share link </button> </h4>Challenge: Manage complex supplier dependencies and risks Solution: Build supplier graph with: <ul> <li>Suppliers at multiple tiers</li> <li>Component dependencies</li> <li>Lead times and capacities</li> <li>Geographic risks</li> </ul> Benefits: <ul> <li>Identify single points of failure</li> <li>Assess cascade impact</li> <li>Optimize supplier mix</li> <li>Plan contingencies</li> </ul> <h4 id="3-warehouse-network-optimization" class="position-relative d-flex align-items-center group"> 3. Warehouse Network Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="3-warehouse-network-optimization" aria-haspopup="dialog" aria-label="Share link: 3. Warehouse Network Optimization"> Share link </button> </h4>Challenge: Determine optimal warehouse locations and inventory levels Solution: Model warehouse network: <ul> <li>Warehouse locations and capacities</li> <li>Customer demand patterns</li> <li>Transportation costs</li> <li>Service level requirements</li> </ul> Benefits: <ul> <li>Minimize total logistics costs</li> <li>Reduce inventory holding</li> <li>Improve service levels</li> <li>Optimize warehouse placement</li> </ul> <h3 id="data-model" class="position-relative d-flex align-items-center group"> Data Model <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="data-model" aria-haspopup="dialog" aria-label="Share link: Data Model"> Share link </button> </h3> <h4 id="network-entities" class="position-relative d-flex align-items-center group"> Network Entities <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="network-entities" aria-haspopup="dialog" aria-label="Share link: Network Entities"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">CREATE GRAPH SupplyChainNetwork; USE SupplyChainNetwork; -- Facilities CREATE (:Warehouse { id: 'wh_1', name: 'Seattle Distribution Center', location: point({latitude: 47.6062, longitude: -122.3321}), capacity: 100000, current_inventory: 75000 }), (:Warehouse { id: 'wh_2', name: 'Portland Hub', location: point({latitude: 45.5152, longitude: -122.6784}), capacity: 50000, current_inventory: 30000 }), (:Supplier { id: 'sup_1', name: 'Component Manufacturer Inc', location: point({latitude: 37.7749, longitude: -122.4194}), lead_time_days: 7, reliability: 0.95 }), (:Customer { id: 'cust_1', name: 'ABC Retail', location: point({latitude: 47.6101, longitude: -122.2015}), demand_weekly: 500 }); </code></pre></div> <h4 id="routes-and-costs" class="position-relative d-flex align-items-center group"> Routes and Costs <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="routes-and-costs" aria-haspopup="dialog" aria-label="Share link: Routes and Costs"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Transportation routes MATCH (wh1:Warehouse {id: 'wh_1'}), (wh2:Warehouse {id: 'wh_2'}) CREATE (wh1)-[:ROUTE { distance_km: 280, time_hours: 3.5, cost_per_unit: 0.50, mode: 'truck', capacity: 5000 }]->(wh2); MATCH (wh:Warehouse {id: 'wh_1'}), (cust:Customer {id: 'cust_1'}) CREATE (wh)-[:ROUTE { distance_km: 15, time_hours: 0.5, cost_per_unit: 0.25, mode: 'van', capacity: 100 }]->(cust); -- Supplier relationships MATCH (sup:Supplier {id: 'sup_1'}), (wh:Warehouse {id: 'wh_1'}) CREATE (sup)-[:SUPPLIES { lead_time_days: 7, min_order_quantity: 1000, cost_per_unit: 5.00, reliability: 0.95 }]->(wh); </code></pre></div> <h4 id="inventory-and-products" class="position-relative d-flex align-items-center group"> Inventory and Products <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="inventory-and-products" aria-haspopup="dialog" aria-label="Share link: Inventory and Products"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Products CREATE (:Product { id: 'prod_1', sku: 'WIDGET-001', name: 'Standard Widget', unit_cost: 5.00, unit_price: 15.00, weight_kg: 0.5 }), (:Product { id: 'prod_2', sku: 'GADGET-001', name: 'Premium Gadget', unit_cost: 20.00, unit_price: 60.00, weight_kg: 2.0 }); -- Inventory at locations MATCH (wh:Warehouse {id: 'wh_1'}), (prod:Product {id: 'prod_1'}) CREATE (wh)-[:STOCKS { quantity: 5000, reorder_point: 1000, reorder_quantity: 2000, last_updated: timestamp() }]->(prod); </code></pre></div> <h3 id="implementation-guide" class="position-relative d-flex align-items-center group"> Implementation Guide <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="implementation-guide" aria-haspopup="dialog" aria-label="Share link: Implementation Guide"> Share link </button> </h3> <h4 id="step-1-route-optimization" class="position-relative d-flex align-items-center group"> Step 1: Route Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-1-route-optimization" aria-haspopup="dialog" aria-label="Share link: Step 1: Route Optimization"> Share link </button> </h4> <h5 id="shortest-path-distance" class="position-relative d-flex align-items-center group"> Shortest Path (Distance) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="shortest-path-distance" aria-haspopup="dialog" aria-label="Share link: Shortest Path (Distance)"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find shortest route from warehouse to customer MATCH (wh:Warehouse {id: 'wh_1'}), (cust:Customer {id: 'cust_1'}), path = shortestPath((wh)-[:ROUTE*]->(cust)) RETURN [n IN nodes(path) | n.name] AS route, reduce(dist = 0, r IN relationships(path) | dist + r.distance_km) AS total_distance, reduce(time = 0, r IN relationships(path) | time + r.time_hours) AS total_time; </code></pre></div> <h5 id="cheapest-path-cost" class="position-relative d-flex align-items-center group"> Cheapest Path (Cost) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="cheapest-path-cost" aria-haspopup="dialog" aria-label="Share link: Cheapest Path (Cost)"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find cheapest route using Dijkstra CALL graph.dijkstra('SupplyChainNetwork', { start_node: {id: 'wh_1'}, end_node: {id: 'cust_1'}, relationship_type: 'ROUTE', weight_property: 'cost_per_unit', minimize: true }) YIELD path, cost RETURN [n IN nodes(path) | n.name] AS route, cost AS total_cost, length(path) AS hops; </code></pre></div> <h5 id="multi-constraint-optimization" class="position-relative d-flex align-items-center group"> Multi-Constraint Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="multi-constraint-optimization" aria-haspopup="dialog" aria-label="Share link: Multi-Constraint Optimization"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find route optimizing multiple factors MATCH (wh:Warehouse {id: 'wh_1'}), (cust:Customer {id: 'cust_1'}), path = (wh)-[:ROUTE*1..5]->(cust) WITH path, reduce(dist = 0, r IN relationships(path) | dist + r.distance_km) AS distance, reduce(cost = 0, r IN relationships(path) | cost + r.cost_per_unit) AS cost, reduce(time = 0, r IN relationships(path) | time + r.time_hours) AS time WHERE time <= 24 -- Delivery within 24 hours RETURN [n IN nodes(path) | n.name] AS route, distance, cost, time, (cost * 0.5 + time * 0.3 + distance * 0.2) AS composite_score ORDER BY composite_score ASC LIMIT 1; </code></pre></div> <h4 id="step-2-inventory-management" class="position-relative d-flex align-items-center group"> Step 2: Inventory Management <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-2-inventory-management" aria-haspopup="dialog" aria-label="Share link: Step 2: Inventory Management"> Share link </button> </h4> <h5 id="stock-level-monitoring" class="position-relative d-flex align-items-center group"> Stock Level Monitoring <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="stock-level-monitoring" aria-haspopup="dialog" aria-label="Share link: Stock Level Monitoring"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find low inventory items MATCH (loc:Warehouse)-[stock:STOCKS]->(prod:Product) WHERE stock.quantity < stock.reorder_point RETURN loc.name AS warehouse, prod.sku, prod.name, stock.quantity AS current_stock, stock.reorder_point, stock.reorder_quantity AS suggested_order ORDER BY (stock.reorder_point - stock.quantity) DESC; </code></pre></div> <h5 id="inventory-optimization" class="position-relative d-flex align-items-center group"> Inventory Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="inventory-optimization" aria-haspopup="dialog" aria-label="Share link: Inventory Optimization"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Calculate optimal stock distribution MATCH (wh:Warehouse)-[stock:STOCKS]->(prod:Product) OPTIONAL MATCH (wh)-[:ROUTE]->(cust:Customer) WITH wh, prod, stock.quantity AS current_stock, sum(cust.demand_weekly) AS weekly_demand RETURN wh.name, prod.sku, current_stock, weekly_demand, CASE WHEN current_stock < weekly_demand * 2 THEN 'CRITICAL' WHEN current_stock < weekly_demand * 4 THEN 'LOW' ELSE 'ADEQUATE' END AS stock_status, (weekly_demand * 4 - current_stock) AS recommended_reorder; </code></pre></div> <h4 id="step-3-supplier-network-analysis" class="position-relative d-flex align-items-center group"> Step 3: Supplier Network Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-3-supplier-network-analysis" aria-haspopup="dialog" aria-label="Share link: Step 3: Supplier Network Analysis"> Share link </button> </h4> <h5 id="identify-critical-suppliers" class="position-relative d-flex align-items-center group"> Identify Critical Suppliers <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="identify-critical-suppliers" aria-haspopup="dialog" aria-label="Share link: Identify Critical Suppliers"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find suppliers with high impact (many downstream customers) MATCH (sup:Supplier)-[:SUPPLIES*1..3]->(node) WITH sup, count(DISTINCT node) AS reach ORDER BY reach DESC RETURN sup.name, sup.reliability, reach AS network_reach, CASE WHEN sup.reliability < 0.8 THEN 'HIGH_RISK' WHEN reach > 10 THEN 'CRITICAL' ELSE 'NORMAL' END AS risk_level; </code></pre></div> <h5 id="supply-chain-risk-assessment" class="position-relative d-flex align-items-center group"> Supply Chain Risk Assessment <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="supply-chain-risk-assessment" aria-haspopup="dialog" aria-label="Share link: Supply Chain Risk Assessment"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find single points of failure MATCH path = (sup:Supplier)-[:SUPPLIES*]->(wh:Warehouse)-[:ROUTE*]->(cust:Customer) WITH sup, cust, count(DISTINCT path) AS alternative_paths WHERE alternative_paths = 1 RETURN sup.name AS critical_supplier, cust.name AS affected_customer, 'SINGLE_PATH' AS risk_type; -- Geographic concentration risk MATCH (sup:Supplier) WITH sup.location.latitude AS lat, sup.location.longitude AS lon, count(sup) AS supplier_count WHERE supplier_count > 5 RETURN point({latitude: lat, longitude: lon}) AS concentration_point, supplier_count, 'GEOGRAPHIC_CONCENTRATION' AS risk_type; </code></pre></div> <h4 id="step-4-real-time-tracking" class="position-relative d-flex align-items-center group"> Step 4: Real-Time Tracking <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-4-real-time-tracking" aria-haspopup="dialog" aria-label="Share link: Step 4: Real-Time Tracking"> Share link </button> </h4> <h5 id="shipment-tracking" class="position-relative d-flex align-items-center group"> Shipment Tracking <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="shipment-tracking" aria-haspopup="dialog" aria-label="Share link: Shipment Tracking"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Model shipments CREATE (:Shipment { id: 'ship_1', order_id: 'ord_12345', status: 'in_transit', created: timestamp(), estimated_delivery: timestamp() + (24 * 60 * 60 * 1000) }); -- Track shipment location MATCH (ship:Shipment {id: 'ship_1'}), (current_loc:Warehouse {id: 'wh_2'}) CREATE (ship)-[:CURRENT_LOCATION { timestamp: timestamp(), next_hop: 'wh_1' }]->(current_loc); -- Query shipment status MATCH (ship:Shipment {id: 'ship_1'})-[:CURRENT_LOCATION]->(loc) OPTIONAL MATCH path = (loc)-[:ROUTE*]->(destination) RETURN ship.status, loc.name AS current_location, ship.estimated_delivery, length(path) AS remaining_hops; </code></pre></div> <h5 id="eta-calculation" class="position-relative d-flex align-items-center group"> ETA Calculation <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="eta-calculation" aria-haspopup="dialog" aria-label="Share link: ETA Calculation"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Calculate updated ETA based on current location MATCH (ship:Shipment {id: 'ship_1'})-[:CURRENT_LOCATION]->(current:Warehouse) MATCH (destination:Customer {id: 'cust_1'}), path = shortestPath((current)-[:ROUTE*]->(destination)) WITH ship, path, reduce(time = 0, r IN relationships(path) | time + r.time_hours) AS remaining_hours RETURN ship.id, ship.estimated_delivery AS original_eta, timestamp() + (remaining_hours * 60 * 60 * 1000) AS updated_eta, (timestamp() + (remaining_hours * 60 * 60 * 1000) - ship.estimated_delivery) / (60 * 60 * 1000) AS delay_hours; </code></pre></div> <h4 id="step-5-network-optimization" class="position-relative d-flex align-items-center group"> Step 5: Network Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-5-network-optimization" aria-haspopup="dialog" aria-label="Share link: Step 5: Network Optimization"> Share link </button> </h4> <h5 id="bottleneck-detection" class="position-relative d-flex align-items-center group"> Bottleneck Detection <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="bottleneck-detection" aria-haspopup="dialog" aria-label="Share link: Bottleneck Detection"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find routes with highest traffic MATCH ()-[route:ROUTE]->() WITH route, route.capacity AS capacity, route.current_load AS load WHERE load > capacity * 0.8 RETURN startNode(route).name AS from_location, endNode(route).name AS to_location, load, capacity, (load * 1.0 / capacity) AS utilization ORDER BY utilization DESC; </code></pre></div> <h5 id="betweenness-centrality-critical-nodes" class="position-relative d-flex align-items-center group"> Betweenness Centrality (Critical Nodes) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="betweenness-centrality-critical-nodes" aria-haspopup="dialog" aria-label="Share link: Betweenness Centrality (Critical Nodes)"> Share link </button> </h5><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Find critical warehouses in network CALL graph.betweennessCentrality('SupplyChainNetwork', { relationship_type: 'ROUTE', normalized: true }) YIELD node, score WHERE node:Warehouse RETURN node.name AS warehouse, node.capacity, score AS criticality_score ORDER BY score DESC; </code></pre></div> <h4 id="step-6-demand-forecasting-integration" class="position-relative d-flex align-items-center group"> Step 6: Demand Forecasting Integration <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="step-6-demand-forecasting-integration" aria-haspopup="dialog" aria-label="Share link: Step 6: Demand Forecasting Integration"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Update demand based on historical patterns MATCH (cust:Customer)-[:ORDERED]->(order:Order) WHERE order.timestamp > timestamp() - (90 * 24 * 60 * 60 * 1000) -- Last 90 days WITH cust, sum(order.quantity) AS total_ordered, count(order) AS order_count SET cust.demand_weekly = (total_ordered * 1.0 / 13); -- 90 days ≈ 13 weeks -- Adjust inventory based on forecasted demand MATCH (wh:Warehouse)-[stock:STOCKS]->(prod:Product) MATCH (wh)-[:ROUTE]->(cust:Customer) WITH wh, prod, stock, sum(cust.demand_weekly) AS forecast_demand SET stock.reorder_point = forecast_demand * 2, stock.reorder_quantity = forecast_demand * 4; </code></pre></div> <h3 id="advanced-patterns" class="position-relative d-flex align-items-center group"> Advanced Patterns <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="advanced-patterns" aria-haspopup="dialog" aria-label="Share link: Advanced Patterns"> Share link </button> </h3> <h4 id="multi-modal-transportation" class="position-relative d-flex align-items-center group"> Multi-Modal Transportation <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="multi-modal-transportation" aria-haspopup="dialog" aria-label="Share link: Multi-Modal Transportation"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Model different transport modes MATCH (origin:Warehouse {id: 'wh_1'}), (dest:Warehouse {id: 'wh_3'}) CREATE (origin)-[:ROUTE { mode: 'truck', distance_km: 500, time_hours: 8, cost_per_unit: 1.00, carbon_kg: 50 }]->(dest); CREATE (origin)-[:ROUTE { mode: 'rail', distance_km: 550, time_hours: 12, cost_per_unit: 0.60, carbon_kg: 20 }]->(dest); -- Optimize for cost vs. speed vs. sustainability MATCH (origin:Warehouse {id: 'wh_1'}), (dest:Warehouse {id: 'wh_3'}), path = (origin)-[:ROUTE*]->(dest) WITH path, reduce(cost = 0, r IN relationships(path) | cost + r.cost_per_unit) AS total_cost, reduce(time = 0, r IN relationships(path) | time + r.time_hours) AS total_time, reduce(carbon = 0, r IN relationships(path) | carbon + r.carbon_kg) AS total_carbon RETURN [r IN relationships(path) | r.mode] AS transport_modes, total_cost, total_time, total_carbon, (total_cost * 0.4 + total_time * 0.3 + total_carbon * 0.3) AS sustainability_score ORDER BY sustainability_score ASC; </code></pre></div> <h4 id="vehicle-routing-problem-vrp" class="position-relative d-flex align-items-center group"> Vehicle Routing Problem (VRP) <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="vehicle-routing-problem-vrp" aria-haspopup="dialog" aria-label="Share link: Vehicle Routing Problem (VRP)"> Share link </button> </h4> <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"># Python client - Solve VRP with capacity constraints from geode_client import Client client = Client(host="geode.example.com", port=3141) async def solve_vrp(conn, warehouse_id, customer_ids, vehicle_capacity): """Solve VRP for multiple deliveries from one warehouse""" # Get distances between all points query = """ MATCH (wh:Warehouse {id: $wh_id}) UNWIND $cust_ids AS cust_id MATCH (cust:Customer {id: cust_id}) MATCH path = shortestPath((wh)-[:ROUTE*]->(cust)) RETURN cust_id, reduce(dist = 0, r IN relationships(path) | dist + r.distance_km) AS distance, cust.demand_weekly AS demand """ page, _ = await conn.query(query, { 'wh_id': warehouse_id, 'cust_ids': customer_ids }) distance_map = {row["cust_id"].raw_value: row["distance"].raw_value for row in page.rows} demand_map = {row["cust_id"].raw_value: row["demand"].raw_value for row in page.rows} def get_distance(_from_id, to_id): return distance_map.get(to_id, float("inf")) def get_demand(cust_id): return demand_map.get(cust_id, 0) # Greedy nearest neighbor with capacity constraints routes = [] current_route = [] current_capacity = 0 unvisited = set(customer_ids) while unvisited: if not current_route: next_cust = min(unvisited, key=lambda c: get_distance(warehouse_id, c)) else: last_cust = current_route[-1] next_cust = min(unvisited, key=lambda c: get_distance(last_cust, c)) demand = get_demand(next_cust) if current_capacity + demand <= vehicle_capacity: current_route.append(next_cust) current_capacity += demand unvisited.remove(next_cust) else: routes.append(current_route) current_route = [] current_capacity = 0 if current_route: routes.append(current_route) return routes # async with client.connection() as conn: # routes = await solve_vrp(conn, "wh_1", ["c1", "c2"], 200) </code></pre></div> <h4 id="dynamic-rerouting" class="position-relative d-flex align-items-center group"> Dynamic Rerouting <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="dynamic-rerouting" aria-haspopup="dialog" aria-label="Share link: Dynamic Rerouting"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Handle route disruption (e.g., road closure) MATCH ()-[disrupted:ROUTE {id: 'route_123'}]->() SET disrupted.available = false, disrupted.reason = 'road_closure', disrupted.until = timestamp() + (48 * 60 * 60 * 1000); -- Find alternative routes MATCH (origin:Warehouse {id: 'wh_1'}), (dest:Customer {id: 'cust_1'}), path = (origin)-[:ROUTE*]->(dest) WHERE ALL(r IN relationships(path) WHERE r.available = true) WITH path, reduce(dist = 0, r IN relationships(path) | dist + r.distance_km) AS distance, reduce(cost = 0, r IN relationships(path) | cost + r.cost_per_unit) AS cost RETURN [n IN nodes(path) | n.name] AS alternative_route, distance, cost ORDER BY cost ASC LIMIT 3; </code></pre></div> <h3 id="performance-optimization" class="position-relative d-flex align-items-center group"> Performance Optimization <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="performance-optimization" aria-haspopup="dialog" aria-label="Share link: Performance Optimization"> Share link </button> </h3> <h4 id="spatial-indexing" class="position-relative d-flex align-items-center group"> Spatial Indexing <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="spatial-indexing" aria-haspopup="dialog" aria-label="Share link: Spatial Indexing"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Create spatial index for location-based queries CREATE INDEX location_spatial_idx ON Warehouse(location) USING spatial; CREATE INDEX customer_location_idx ON Customer(location) USING spatial; -- Find nearby warehouses MATCH (wh:Warehouse) WHERE point.distance(wh.location, point({latitude: 47.6062, longitude: -122.3321})) < 50000 -- 50km RETURN wh.name, wh.location; </code></pre></div> <h4 id="route-caching" class="position-relative d-flex align-items-center group"> Route Caching <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="route-caching" aria-haspopup="dialog" aria-label="Share link: Route Caching"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"># Cache frequently used routes from geode_client import Client client = Client(host="geode.example.com", port=3141) route_cache = {} async def get_shortest_path(conn, origin_id, dest_id): """Cache shortest paths between common locations""" cache_key = (origin_id, dest_id) if cache_key in route_cache: return route_cache[cache_key] page, _ = await conn.query(""" MATCH (o {id: $origin}), (d {id: $dest}), path = shortestPath((o)-[:ROUTE*]->(d)) RETURN path """, {'origin': origin_id, 'dest': dest_id}) path = page.rows[0]["path"].raw_value if page.rows else None route_cache[cache_key] = path return path # async with client.connection() as conn: # path = await get_shortest_path(conn, "wh_1", "cust_42") </code></pre></div> <h4 id="materialized-views" class="position-relative d-flex align-items-center group"> Materialized Views <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="materialized-views" aria-haspopup="dialog" aria-label="Share link: Materialized Views"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Pre-compute common routes MATCH (wh:Warehouse)-[r:ROUTE*1..3]->(cust:Customer) WITH wh, cust, reduce(dist = 0, rel IN r | dist + rel.distance_km) AS total_distance, reduce(cost = 0, rel IN r | cost + rel.cost_per_unit) AS total_cost CREATE (wh)-[:PRECOMPUTED_ROUTE { distance: total_distance, cost: total_cost, updated: timestamp() }]->(cust); -- Query precomputed routes (much faster) MATCH (wh:Warehouse {id: 'wh_1'})-[route:PRECOMPUTED_ROUTE]->(cust:Customer) RETURN cust.name, route.distance, route.cost ORDER BY route.cost ASC; </code></pre></div> <h3 id="metrics-and-kpis" class="position-relative d-flex align-items-center group"> Metrics and KPIs <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="metrics-and-kpis" aria-haspopup="dialog" aria-label="Share link: Metrics and KPIs"> Share link </button> </h3> <h4 id="operational-metrics" class="position-relative d-flex align-items-center group"> Operational Metrics <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="operational-metrics" aria-haspopup="dialog" aria-label="Share link: Operational Metrics"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Average delivery time MATCH ()-[route:ROUTE]->() RETURN avg(route.time_hours) AS avg_delivery_time; -- Network utilization MATCH ()-[route:ROUTE]->() WITH route, CASE WHEN route.current_load IS NOT NULL THEN route.current_load * 1.0 / route.capacity ELSE 0 END AS utilization RETURN avg(utilization) AS avg_network_utilization, max(utilization) AS max_utilization, count(CASE WHEN utilization > 0.8 THEN 1 END) AS congested_routes; -- Inventory turnover MATCH (wh:Warehouse)-[stock:STOCKS]->(prod:Product) WITH prod, sum(stock.quantity) AS total_stock MATCH (ord:Order)-[:CONTAINS]->(prod) WHERE ord.timestamp > timestamp() - (30 * 24 * 60 * 60 * 1000) WITH prod, total_stock, sum(ord.quantity) AS monthly_sales RETURN prod.sku, monthly_sales * 12.0 / total_stock AS annual_turnover; </code></pre></div> <h4 id="cost-analysis" class="position-relative d-flex align-items-center group"> Cost Analysis <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="cost-analysis" aria-haspopup="dialog" aria-label="Share link: Cost Analysis"> Share link </button> </h4><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Total logistics cost MATCH (order:Order)-[:SHIPPED_VIA]->(route:ROUTE) WHERE order.timestamp > timestamp() - (30 * 24 * 60 * 60 * 1000) RETURN sum(order.quantity * route.cost_per_unit) AS monthly_logistics_cost; -- Cost per delivery MATCH (order:Order)-[:DELIVERED_TO]->(cust:Customer) WHERE order.timestamp > timestamp() - (30 * 24 * 60 * 60 * 1000) WITH order, sum(order.logistics_cost) AS delivery_cost RETURN avg(delivery_cost) AS avg_cost_per_delivery, percentile_cont(delivery_cost, 0.5) AS median_cost, percentile_cont(delivery_cost, 0.95) AS p95_cost; </code></pre></div> <h3 id="best-practices" class="position-relative d-flex align-items-center group"> Best Practices <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="best-practices" aria-haspopup="dialog" aria-label="Share link: Best Practices"> Share link </button> </h3> <h4 id="1-model-granularity" class="position-relative d-flex align-items-center group"> 1. Model Granularity <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="1-model-granularity" aria-haspopup="dialog" aria-label="Share link: 1. Model Granularity"> Share link </button> </h4><ul> <li>Start coarse, refine as needed: Begin with major hubs, add detail later</li> <li>Balance detail vs. performance: Too many nodes slow queries</li> <li>Use aggregation: Group small customers into zones</li> </ul> <h4 id="2-weight-selection" class="position-relative d-flex align-items-center group"> 2. Weight Selection <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="2-weight-selection" aria-haspopup="dialog" aria-label="Share link: 2. Weight Selection"> Share link </button> </h4><ul> <li>Normalize weights: Ensure comparable scales (distance vs. cost)</li> <li>Time-varying weights: Update traffic patterns by time of day</li> <li>Multi-objective: Combine cost, time, reliability, sustainability</li> </ul> <h4 id="3-data-quality" class="position-relative d-flex align-items-center group"> 3. Data Quality <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="3-data-quality" aria-haspopup="dialog" aria-label="Share link: 3. Data Quality"> Share link </button> </h4><ul> <li>Update regularly: Route conditions change (traffic, weather)</li> <li>Validate constraints: Capacity, lead times, availability</li> <li>Track exceptions: Monitor deviations from plan</li> </ul> <h3 id="complete-example-e-commerce-fulfillment" class="position-relative d-flex align-items-center group"> Complete Example: E-Commerce Fulfillment <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="complete-example-e-commerce-fulfillment" aria-haspopup="dialog" aria-label="Share link: Complete Example: E-Commerce Fulfillment"> Share link </button> </h3><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-gql" data-lang="gql">-- Create fulfillment network CREATE (:FulfillmentCenter {id: 'fc_1', name: 'East Coast FC', capacity: 200000}), (:FulfillmentCenter {id: 'fc_2', name: 'West Coast FC', capacity: 150000}), (:FulfillmentCenter {id: 'fc_3', name: 'Midwest FC', capacity: 100000}); -- Customer orders CREATE (:Order {id: 'ord_1', customer_zip: '98101', quantity: 5, priority: 'standard'}), (:Order {id: 'ord_2', customer_zip: '94102', quantity: 10, priority: 'express'}), (:Order {id: 'ord_3', customer_zip: '60601', quantity: 3, priority: 'standard'}); -- Route orders to optimal fulfillment center MATCH (fc:FulfillmentCenter), (ord:Order) MATCH (fc)-[stock:STOCKS]->(prod:Product) WHERE stock.quantity >= ord.quantity WITH fc, ord, point.distance( fc.location, geocode(ord.customer_zip) ) AS distance ORDER BY ord.priority DESC, distance ASC WITH ord, head(collect(fc)) AS optimal_fc CREATE (ord)-[:FULFILLED_BY]->(optimal_fc); -- Generate pick lists MATCH (fc:FulfillmentCenter {id: 'fc_1'})<-[:FULFILLED_BY]-(ord:Order) RETURN ord.id, ord.customer_zip, ord.quantity, ord.priority ORDER BY ord.priority DESC, ord.id; </code></pre></div> <h3 id="next-steps" class="position-relative d-flex align-items-center group"> Next Steps <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="next-steps" aria-haspopup="dialog" aria-label="Share link: Next Steps"> Share link </button> </h3><ul> <li><a href="/docs/analytics/graph-algorithms/" >Graph Algorithms</a> - Shortest path, network flow</li> <li><a href="/docs/performance/" >Performance Tuning</a> - Optimize large-scale logistics queries</li> <li><a href="/docs/analytics/real-time-analytics/" >Real-Time Analytics</a> - Live tracking and alerts</li> <li><a href="/docs/query/indexing-and-optimization/" >Spatial Queries</a> - Geographic search optimization</li> </ul> <h3 id="references" class="position-relative d-flex align-items-center group"> References <button type="button" class="h-share btn btn-link p-0 text-decoration-none link-secondary opacity-50 hover-opacity-100 transition-all ms-1" data-share-target="references" aria-haspopup="dialog" aria-label="Share link: References"> Share link </button> </h3><ul> <li><a href="/docs/model/data-model-and-types/" >Data Model Guide</a> - Modeling transportation networks</li> <li><a href="/docs/gql/guide/" >GQL Guide</a> - Path queries and aggregations</li> <li><a href="/docs/tutorials/graph-algorithms-tutorial/" >Dijkstra Tutorial</a> - Weighted shortest paths</li> </ul> <hr> License: Apache License 2.0 Copyright: 2024-2025 CodePros Last Updated: January 2026