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Reimagining the Future – Innovation, Sustainability, and AIReimagining the Future – Innovation, Sustainability, and AI">

Reimagining the Future – Innovation, Sustainability, and AI

Alexandra Blake
przez 
Alexandra Blake
14 minutes read
Trendy w logistyce
Wrzesień 18, 2025

Audit your energy and data footprints today and set measurable targets for carbon reduction within 12 months. Build compliance with governance that links product roadmaps to measurable outcomes, and issue a concise letter of commitment to your customers and partners. Identify the kinds of changes that yield the strongest returns and establish boundaries that prevent scope creep and siloed thinking. By framing decisions with data, you can advance performance without sacrificing integrity.

Turn to AI as a force multiplier in sustainability, but keep humans at the center. Use AI to optimize energy use in facilities, logistics, and manufacturing; quantify results with 12-month targets: energy intensity reductions of 12-25%, waste cuts of 15-40%, and throughput gains of 8-20%. Run pilots across operations to compare traditional methods against AI-assisted processes and capture the experiences of frontline teams. These metrics translate into decisions you can justify to boards, more reliable than intuition alone.

Establish a balance between automation and human judgment. Create boundaries for data use and ensure compliance with privacy and security standards. Use dashboards that show how AI recommendations translate into operational impact, while reserving final decisions for people with domain expertise. This approach keeps risk in check and builds trust with customers and workers, who want clarity on how their inputs influence outcomes and the value offered to stakeholders.

Invite entrepreneurs oraz partners to co-create a pipeline of experiments. Share sets of problem statements and data with guardrails to accelerate discovery on both sides. This side of the effort helps you advance new products that meet your needs to balance performance and resilience. Document each initiative with a short letter of intent and a 6-week review, so stakeholders understand what to expect and how progress will be tracked.

To turn momentum into durable capability, align funding, talent, and policy with a long-range plan. Allocate 4-6% of revenue or equivalent budget to ongoing AI-sustainability programs, and build cross-functional teams that include operations, product, and ethics. Set quarterly milestones and publish transparent dashboards, so your team and customers can see progress and hold the organization to its word. This approach will create a steady rhythm of experiences that informs future improvements and strengthens trust with humans and markets alike.

1 What is SAP Business Network and what networks does it integrate

Use SAP Business Network to streamline procurement and supplier collaboration through Ariba Network, built to accelerate contracts, responding to market needs and reducing cycle times.

It integrates Ariba Network, SAP Logistics Business Network, and SAP Asset Intelligence Network to connect owners, officers, and suppliers through a connected ecosystem that shares product data, marketing content, and the idea of a unified data model. This shared approach enables queries, content distribution, and issue resolution while using rich media such as videos to illustrate products and services.

There, the network value grows as more participants join, and this edge data exchange facilitates seamless data flows across procurement, logistics, and asset management. Regulations and governance controls help maintain compliance while enabling faster decision-making and risk awareness, ultimately supporting goals such as reliability, transparency, and efficiency.

The purpose is to align objectives and marketing efforts across organizations, looking at how SAP Business Network can reduce friction in sourcing, transport, and asset maintenance. For consumers and businesses alike, the platform enables better product information, faster responses, and clearer visibility into performance, with owners and officers monitoring dashboards and coordinating actions using real-time data.

Ariba Network: streamline supplier onboarding, catalogs, and sourcing

Recommendation: Activate automated onboarding in Ariba Network by enforcing a standard supplier profile and synchronized catalogs, aiming to cut onboarding time by up to 40% and reduce data costs by 20–30%. Define required fields during setup, ensure alignment with regulations and boundaries, and link their profile data directly into catalogs to accelerate orders.

Next, deploy a guided onboarding flow that suppliers could complete in 20–30 minutes, requiring core fields and document uploads. In addition, implement a program that binds each profile to its catalogs and service offerings, ensuring a smooth transition from registration into active sourcing.

To support suppliers, provide onboarding videos and youtube tutorials with recommended steps, drawing on their experiences to tailor content. Track completion rates and feedback to refine the flow.

Catalogs must cover kinds of products across categories; use static catalogs, punchout catalogs, and dynamic feeds, with data mapped by fields and validated against product attributes. Ensure a single link from orders to catalogs to minimize errors.

In sourcing, configure RFQs, quotes, and direct orders; use sourcing events to speed decisions and improve the flow of orders. Track time-to-quote and delivery windows, and embed energy savings or efficiency criteria within catalog attributes to influence supplier choices. This endeavour grows resilience in the economy.

Risk and compliance: enforce regulations, set boundaries for data sharing, and log statements for audit. Monitor supplier performance and risk signals across the network; publish regular statements to demonstrate accountability. This approach grows trust and reduces unanticipated costs across the procurement ecosystem.

Logistics Business Network: achieve real-time shipment visibility and freight collaboration

Logistics Business Network: achieve real-time shipment visibility and freight collaboration

First, implement a real-time shipment visibility layer by integrating data from carriers, freight partners, and warehouse systems through APIs and standard formats to create an entire, coherent view of every shipment.

This framework strengthens security and regulatory alignment by enforcing role-based access, encryption, and auditable logs, while the data flows remain traceable across the network and events.

Excellence in execution comes from a shared data model, open standards, and clear SLAs that align the activities of those who touch the shipments, and it drives added value for the market.

Sharing data across the network reduces complexity and improves decision speed; the unified view enables proactive exception handling and collaboration on plans, loads, and routes, increasing the capabilities of partner ecosystems and the people who operate them.

Using this platform, people in operations, planning, and sales can act on real-time insights, increasing efficiency and delivering better experiences for customers and suppliers, with data used across one billion data points daily by humans.

The latest architecture is supported by scalable cloud services, AI-assisted routing, and event-driven alerts that pre-empt disruption and tighten control over capacity.

These measures help teams achieve measurable improvements in service levels and cost efficiency across the network.

First outcomes are expected within 90 days of pilots involving 1,000+ carriers and 200 facilities, laying the groundwork for broader disruption across the market.

Aspekt Action Rationale KPI
Data integration Connect feeds from carriers, TMS, WMS, and IoT Creates an entire single view and reduces latency Latency < 1 min; 1B data points/day
Visibility & events Track shipments in real time and capture events Improves predictability and exception handling On-time delivery %, average dwell time
Collaboration Share plans and loads with partners via shared workflows Drives alignment and faster decisions Cycle time reduction; number of loads collaborated
Security & governance RBAC, encryption, and audit logs Protects data and supports regulatory alignment Audit findings; access incidents

Asset Intelligence Network: share asset data and coordinate maintenance across partners

Implement a shared Asset Intelligence Network with a centric platform that enables real-time asset data sharing and coordinated maintenance across partner organizations. Start by defining boundaries for data visibility, asset types, and maintenance scope, then set a reset point for scope changes. Publish a clear data contract and designate a single organization-owned owner to avoid ambiguity. This endeavour supports strategic decision-making and delivers a unified view that partner organizations can monitor and act upon.

Adopt a shared data model with fields like asset_id, location, class, lifecycle, sensor_readings, maintenance_history, and service_contracts. The degregor module normalizes feeds, flags a data quality concern, and aligns timestamps across organizations. Use role-based access controls enabled by default and a notification mechanism to alert stakeholders–partners, maintenance teams, and fleet managers–within two minutes of critical events. The platform provides dashboards and APIs to look up asset status, relationships between assets, and current work orders, enabling each organization to operate efficiently across borders.

Governance requires a concise escalation path, clear ownership, and a schedule for retention and deletion. As mentioned earlier, this centric approach keeps organizations aligned while preserving data sovereignty. The degregor engine continuously monitors integrity and can reset correlations when anomalies are detected, preventing a down event and preserving reliability. Set up a real-time monitor for data quality to catch drift early. When a change is needed, please file a modification request that specifies the new boundaries and the data sets affected. This addition strengthens the partner relationships across the network.

Maintenance orchestration and metrics: Coordinate maintenance through a shared work-order workflow, synchronized calendars, and predictive alerts. Each partner pushes maintenance status updates to the platform, which monitors progress and reorders tasks to minimize down events. Establish SLAs and KPIs: target 99.95% platform uptime, 1-minute alert latency for critical assets, and 24-hour average repair time. The notification system drives proactive engagement, and the continuous feedback loop feeds into asset models to improve accuracy across asset classes and conditions. This approach is driving uptime and is suitable for organizations looking to scale, as mentioned.

Connecting SAP Business Network to ERP systems: integration options, data models, and APIs

Adopt an API-led, iPaaS-driven connection using SAP Integration Suite to link SAP Business Network with your ERP (S/4HANA, ECC). This minimizes custom code, ensures secure sharing of data, and supports scalable, event-driven sync across your supply network, driving innovation in supplier collaboration. They gain faster time-to-value and better visibility across organizations. Take advantage of provided templates and accelerators to accelerate implementation. Training for teams ensures sustainable adoption.

  • Integration options
    • Direct API connections to SAP Business Network (Ariba Network) for core transactions such as POs, invoices, catalogs, and supplier profiles, using secure REST or SOAP endpoints and OAuth 2.0 authentication. This enables both real-time updates and batch processing as needed. This creates a single source of truth across ERP and network.
    • iPaaS-based connectors (SAP Integration Suite, MuleSoft, Boomi) to orchestrate data between ERP and the network, with prebuilt mappings and adapters that support both push and pull patterns.
    • Event-driven synchronization using a message bus or SAP Event Mesh to propagate changes (order events, shipment events, status updates) in near real-time, enabling operational processes to stay aligned.
    • Hybrid architectures that combine direct API paths for critical items and iPaaS for less time-sensitive data, optimizing cost and performance.
  • Data models
    • Adopt a canonical data model that covers Supplier, Item, Catalog, PurchaseOrder, Invoice, Receipt, and NetworkProfile, then map to ERP master data (Vendor, Material, GL accounts) in both worlds. Treat assets such as catalogs and supplier profiles as data assets that require governance.
    • Align master data governance across databases and networks, with deduplication, normalization, and versioning to support holistic analytics.
    • Capture process context such as payment terms, incoterms, tax settings, and unit measures to preserve financial integrity across systems.
    • Define field-level mappings and data types (dates, currencies, decimals) to avoid reconciliation gaps during postings.
  • APIs and interfaces
    • Provide RESTful APIs for procurement, catalog, and supplier onboarding, plus webhook-based event feeds for PO creation, status changes, and invoice posting; ensure they are secured, rate-limited, and auditable.
    • Leverage OData or SAP-proprietary adapters where available to connect ERP fields (supplier ID, material ID, cost center, payment method) with network objects.
    • Maintain backward compatibility with traditional ERP integrations while enabling modern API consumption for new use-cases such as crowd sourcing and supplier development programs.
    • Provide versioning and deprecation plans to protect investments and reduce disruption when APIs evolve. Investments in this area pay off through increased agility and faster onboarding.
  • Security, governance, and operations
    • Enforce role-based access controls and attribute-based security to limit who can view or modify network data; implement encryption in transit and at rest across all databases.
    • Apply data minimization and purpose limitation aligned with the provided agreements, keeping sensitive financial data protected while enabling value-driven sharing.
    • Establish audit trails, change management, and anomaly detection to support compliance and fast incident response.
    • Control data residency and retention in line with regulatory and corporate policies.
  • Operational readiness and next steps
    • Design a phased rollout: start with a pilot network of 5–10 key suppliers and a single ERP instance, then expand to 20–40 suppliers and multiple plants.
    • Provide training for procurement, finance, and IT teams to align roles and responsibilities, including how to interpret event data and verify postings.
    • Come next, scale to additional suppliers and regions, reuse templates, and tune data mappings based on feedback from pilots.
    • Monitor key metrics such as cycle time for PO-to-invoice, data reconciliation rate, and secure sharing incidents to quantify gain.
    • Invest in continuous improvement by collecting feedback across organizations and refining data models and APIs accordingly; ensure ongoing support and documentation are provided.

Security, compliance, and role-based access across networks

Implement a central policy engine that enforces role-based access across networks, apply least privilege, and require Just-In-Time provisioning. submit access requests through a single workflow, and log everything for audit.

Key design principles guide the next steps:

  • Central policy management unifies identities, devices, and workloads, reducing risk and enabling consistent controls.
  • Holistic controls tie humans, systems, and processes to a single security fabric.
  • Multiple layers of defense, including MFA, device posture, and network segmentation, advance protection while reducing complexity.
  • Organizing access around roles instead of people minimizes drift and speeds approvals.

Steps to implement:

  1. Define a clear role taxonomy: map each role to the minimum set of actions required across multiple systems, with a single point of truth for permissions.
  2. Enforce least privilege and Just-In-Time access for critical operations; require human approvals where necessary to limit risk.
  3. Institute strong authentication and device checks: enforce MFA, risk-based access, and continuous monitoring of endpoint posture.
  4. Automate provisioning and de-provisioning across networks by integrating with identity sources, ITSM, and supply chain workflows; dont rely on manual handoffs or scattered spreadsheets anymore.
  5. Audit, log, and report: centralize event data, retain for the required period, and provide dashboards for the organization and auditors.
  6. Train the organization: run practical training for operators, security teams, and product teams; refresh training when technologies change.
  7. Measure and adapt: track metrics such as mean time to revoke, percentage of assets under policy, and compliance with tender requirements in vendor selections.

Concrete metrics to monitor (example):

  • Access provisioning time: target 4 hours for non-urgent cases and 15 minutes for emergency approvals.
  • Policy coverage: aim for >95% of critical resources governed by centralized RBAC.
  • Audit readiness: 100% of access events captured with immutable logs and real-time alerts for anomalies.
  • Risk reduction: track reductions in privilege escalations and misconfigurations after deployment.

Starting cross-network collaboration: practical steps and quick ROI indicators

Starting cross-network collaboration: practical steps and quick ROI indicators

Begin by mapping key stakeholders across networks and appointing a cross-network coordinator who reports to all parties. Launch a 30-day pilot across two networks with three concrete ROI indicators: time-to-first-response to queries, issues resolved per week, and energy savings per collaboration event. Use a browser-based dashboard to track metrics in real time and trigger a notification when thresholds are met. Establish clear statements on deliverables, roles, and success criteria to keep energy focused on high-impact tasks. dont wait for perfect alignment–start with a lean pilot.

Create lightweight workflows that capture requests as tasks, assign parts and owners, and route them to the right teams. Record received details, attach environmental data when relevant, and link progress to the central issue tracker. A notification is sent if a task stalls, and a short status update is posted to the shared channel.

Establish a shared glossary and templates to reduce walls between teams; align on documenting outcomes with statements and evidence. Publish decisions in the collaboration space, and summarize learnings at each milestone.

Integrate data feeds via open APIs and standard connectors; keep browser-based access simple; define role-based dashboards for stakeholders in our connected world. There are concrete ways to speed up value realization through standardized data models and clear ownership.

Evaluation: after 14 days, run review and analysis of the ROI indicators: time-to-first-response to queries, issues closed, energy savings, and environmental metrics. Compare against baseline and adjust the plan.

Escalation and governance: when issues exceed thresholds, escalate to the right stakeholders; use the notification system; maintain a log of decisions. Provide assistance when blockers appear to keep momentum and prevent stalls.

Best practices: keep walls down by using cross-network collaboration channels; focus on outputs; work together across teams; schedule a 30-minute event weekly to align.

Rapid ROI check: set a 30-day revisit date; review results; adjust; circulate a concise recap with data points including time-to-value, energy savings, and participant engagement.