5 Sub-dimensions · Click to expand L2 detailClic para expandir detalle L2
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› L2N2
L2 · ERP & Core SC Systems Integration
ERP selection & implementation (S/4HANA, Oracle, Microsoft), ERP-to-ERP integration for M&A, MDM for supply chain, APS & planning systems integration, and data architecture (data lakes, APIs & real-time integration).
The transactional backbone of the supply chain — the ERP and its satellite planning systems that manage inventory, orders, finance, and procurement, and the data architecture that makes all of it available for analytics and AI at the right latency.
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01
ERP selection & implementation for supply chain: S/4HANA, Oracle & Microsoft Dynamics
SAP S/4HANA ATP from 4.2h to <2 min. ERP data latency <5 min target. Adoption rate >85% signals a healthy go-live.
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ERP-to-ERP integration: multi-company, multi-country & M&A scenarios
Hub-and-spoke iPaaS scales better than point-to-point beyond 3 ERPs. Inter-company order cycle time: 8.2 to 4.1 days target.
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Master data management (MDM) for supply chain: items, vendors & customers
22% of items had incorrect lead times — fixing them reduced stockout rate 75%. Master data completeness >95% is the benchmark.
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APS & supply chain planning systems: from ERP-native to best-of-breed
o9 Solutions: MAPE 42% to 28%, S&OP cycle 22 to 8 days, fill rate +5.6 pp = $8.4M MXN additional revenue.
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Data architecture for supply chain: data lakes, APIs & real-time integration
Data Lakehouse (Databricks/Snowflake) + API layer + Kafka event streaming. Supply chain data freshness <5 min for operational decisions.
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› L2N2
L2 · API-First SC Integration & Middleware
REST APIs, GraphQL & webhooks for supply chain integration, EDI & B2B integration (850/855/856/810), supply chain control towers, supplier & customer portals, and iPaaS platforms (MuleSoft, Boomi, SAP Integration Suite).
The integration nervous system of the digital supply chain — the APIs, EDI protocols, control towers, and middleware platforms that connect ERPs, WMS, TMS, suppliers, and customers into a unified information flow.
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01
REST APIs, GraphQL & webhooks: the modern supply chain integration stack
85% manual work eliminated with API-first SC integration. Contract-first design, versioning, and documentation are the governance pillars.
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EDI & B2B integration: electronic data interchange with suppliers & customers
EDI 850+855+856+810: OTC cycle time 8.2 to 4.1 days, 30 hrs/week freed, DSO 42 to 28 days. AS2 protocol is the B2B security standard.
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Supply chain control towers: integration architecture & real-time visibility
Level 2 Control Tower: exception detection rate 87% with >4h advance notice, response time 4.2h to 38 min.
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Supplier & customer portals: self-service integration for trading partners
PO confirmation time 24–48h to <4h. 100% ASN manual capture eliminated. Adoption rate >80% requires proactive onboarding.
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iPaaS platforms: MuleSoft, Boomi & SAP Integration Suite for supply chain
iPaaS reduces integration time 70% (3–4 months to 6 weeks per integration). Breakeven at 4–6 integrations for most platforms.
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› L2N2
L2 · TMS, WMS & Last-Mile Platforms
TMS selection & implementation (carrier management, freight audit), WMS advanced features (slotting, LMS, cross-docking), last-mile delivery platforms (route optimization, POD, WISMO), freight visibility platforms, and 3PL & outsourced logistics management.
The execution layer of the physical supply chain — the TMS, WMS, and last-mile platforms that move goods, manage warehouse operations, and deliver to customers, integrated with visibility platforms and 3PL partners.
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01
TMS selection & implementation: carrier management, freight audit & booking
Blue Yonder TMS: transportation cost $78 to $62 MXN/order (−21%) + $420K MXN/year freight audit recovery. Carrier SLA visibility is the go-live gate.
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WMS advanced features: slotting, labor management & cross-docking
Manhattan LMS: labor cost $2.40 to $1.85 MXN/line (−23%) = $2.6M MXN/year savings. Labor utilization target: >88%.
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Last-mile delivery platforms: route optimization, proof of delivery & WISMO
Onfleet: WISMO 22% to 6% (−73%), freight cost −21%, POD disputes 8% to 0.3%. Proactive delivery notifications are the highest-ROI feature.
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Freight visibility platforms: real-time tracking across modes & carriers
project44: maritime ETA precision ±8.2 to ±1.8 days = 6 DIO safety stock reduction × $28M MXN inventory = $3.7M MXN working capital freed.
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3PL & outsourced logistics management: vendor selection, SLAs & governance
3PL OTIF is the primary selection criterion — not price. A 3PL with OTIF 88.4% vs. 94.2% for the winning bidder costs more in service failures than it saves on rate.
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› L2N2
L2 · PLM & Product Data Integration
PLM fundamentals & ERP handoff (engineering BOM, manufacturing BOM), new product introduction (NPI) supply chain readiness, product portfolio rationalization (SKU complexity, long tail, cost-to-serve), sustainability data in product design (LCA, PCF, CBAM), and reverse logistics & end-of-life.
The product data layer of the supply chain — PLM systems, BOM management, NPI processes, portfolio rationalization, sustainability data integration, and end-of-life supply chain management, ensuring product data flows from design to procurement to manufacturing to reverse logistics.
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01
PLM fundamentals: from engineering design to supply chain handoff
PLM–ERP integration: engineering change propagation <4h (vs. 2–3 weeks manual). BOM accuracy target: >99.5%.
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New product introduction (NPI): supply chain readiness & launch execution
NPI SC Readiness Assessment at 12 weeks before launch. Supplier qualification completion rate >95% is the launch gate criterion.
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Product portfolio rationalization: SKU complexity, long tail & cost-to-serve
Retiring 25% of SKUs (1,036 SKUs): −18% total inventory ($12.4M MXN freed), MAPE 38% to 26%, −14% warehouse transactions.
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Sustainability data in product design: LCA, carbon footprint & eco-design
CBAM fully in force in 2026. Steel exporter case: €225.7K/year in avoided CBAM levies by switching to a lower-carbon supplier at equivalent quality.
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Reverse logistics & end-of-life: returns integration & circular supply chains
E-commerce fashion returns (28% rate): processing cost $48 to $28 MXN/unit (−42%), restock rate 52% to 68% = $2.8M MXN/year incremental margin.
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› L2N2
L2 · Customer Data Platform & Demand Signal Integration
Demand signal integration (POS, RFID, EDI 852, real-time sell-through data), VMI & CPFR collaborative replenishment models, customer segmentation for supply chain service differentiation, omnichannel fulfillment (unified inventory & order routing), and customer experience metrics (NPS, CSAT & supply chain contribution to CX).
The demand intelligence layer of the supply chain — the demand signal integrations, VMI and CPFR models, customer segmentation frameworks, omnichannel fulfillment systems, and CX metrics that connect customer behavior to supply chain response in real time.
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01
Demand signal integration: POS, RFID & real-time sell-through data
VMI with POS integration: MAPE 38% to 22% (−16 pp), stockout −79%, DIO −14 days. 70% POS coverage is the minimum viability threshold.
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VMI & CPFR: collaborative replenishment models with key customers
VMI pilot (120 SKUs, 480 stores): on-shelf availability 88.4% to 97.8% (+9.4 pp), retailer DIO −10 days. CPFR forecast accuracy +18 pp vs. retailer-alone.
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Customer segmentation for supply chain: service differentiation by segment
840 clients segmented: Segment A (5% of clients, 68% of revenue) OTIF SLA >96%; Segment C (65% of clients, 8% of revenue) standard SLA.
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Omnichannel fulfillment: unified inventory & order routing across channels
Ship-from-Store (180 stores): lead time 48–72h to 24h, freight cost $68 to $42 MXN/order (−38%), stockout rate −67%.
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Customer experience metrics: NPS, CSAT & supply chain contribution to CX
76% of NPS variation explained by OTIF, proactive exception notifications, and invoice accuracy. Supply chain is the primary driver of customer loyalty.
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