Plan, Produce, Prosper:Data Products Transform Supply Chain Management
Supply chains are complex and dynamic. Challenges range from demand forecasting and inventory management to regulatory compliance. At the same time, companies struggle with data silos and integration issues. This impacts operational efficiency, customer satisfaction, and sustainable growth.
Data products provide deeper insight into dynamic supply chains, enabling companies to identify and resolve bottlenecks, optimize processes, and make more informed decisions. This increases efficiency, reduces costs and risks, and ultimately leads to on-time and efficient deliveries.
Data productsfor supply chains
Demand forecasting and planning
Accurately predicting customer demand and market trends with demand and seasonal variations makes it difficult for supply chains to operate efficiently. Data products support demand forecasting to optimize inventory levels, reduce excess inventory, and improve business responsiveness.
Data sources:
Order management systems, customer relationship management (CRM), warehouse management systems (WMS), transportation management systems (TMS), inventory management, customer feedback and surveys, quality control, suppliers
Data sources:
Inventory management systems, point of sale (POS), purchase and replenishment systems, sales and demand data, financial data, supplier data, product data, customer data
Data sources:
Order management, inventory management, warehouse management, point of sale (POS), customer relationship management (CRM), supplier systems, quality control systems, shipping and logistics
Data sources:
Inventory management, warehouse management systems, point of sale (POS), supply chain systems, sales and demand data, replenishment data, order fulfillments, time tracking and timestamps
Data sources:
Point of sale (POS), inventory management, sales data, demand forecasting, time-stamped data, product catalog and SKUs, replenishment and purchase orders, marketing and promotions
Inventory management
Supply chain managers must balance inventory levels while minimizing costs and optimizing planning. Unpredictable market changes and the complexity of managing a wide variety of items can also lead to overstocking and out-of-stocks.
Data products can help with accurate demand forecasting and efficient inventory management. As a result, inventory levels can be optimized and costs reduced.
Data sources:
Inventory management systems, sales data, point of sale (POS), replenishment and purchase order, product catalog and SKUs
Data sources:
Point of sale (POS), inventory management systems, sales data, replenishment and purchase orders, product catalog and SKUs
Data sources:
Point of sale (POS), inventory management systems, sales data, replenishment and purchase orders, product catalog and SKUs
Data sources:
Inventory management systems, sales and order data, purchase and receiving data, historical sales and inventory data, production and manufacturing data, supplier data, customer data, market and industry data
Data sources:
Financial records, warehouse management systems, purchase and procurement data, labor and workforce management, maintenance and repair records, energy and utility consumption
Supplier collaboration and relationship management
In complex supply chains, effective collaboration and relationship management across multiple suppliers is critical. Efficient communication, performance management, and risk mitigation are common challenges.
Data products provide insight into individual supplier performance or reasons for product returns. This improves supplier relationships, coordination and risk management. Supply chain processes become much more reliable with increased efficiency and reduced costs.
Data sources:
Order management systems, sales data, customer feedback and surveys, supplier performance, inventory management, logistics and transportation
Data sources:
Order management, logistics and transportation, shipment tracking, supplier performance, customer feedback and surveys, sales
Data sources:
Order management, logistics and transportation, shipment tracking, supplier performance, customer feedback and surveys, sales
Data sources:
Customer feedback and surveys, sales data, product return records, return authorization systems, customer service interactions, warranty and repair data
Data sources:
Order management, inventory management, sales, supplier performance, shipment tracking, customer feedback and surveys
Logistics and transportation
Optimizing routes and reducing transportation costs are key to supply chain management. Data products improve route efficiency and minimize transportation-related expenses by providing accurate billing data and insight into delivery conditions.
This streamlines logistics operations, resulting in significant cost savings and improved service quality—improving overall supply chain effectiveness and customer satisfaction.
Data sources:
Carrier billing, freight invoices and documentation, transportation management, shipment tracking and status updates, supplier and vendor invoices, financial and accounting records
Data sources:
Transportation management, shipment tracking, carrier performance, delivery confirmation records, order management, customer feedback and surveys
Data sources:
Transportation management, shipment tracking, carrier performance data, delivery confirmation records, order management, customer feedback and surveys
Data sources:
Order management, warehouse management, inventory management, shipment tracking, supplier performance data, customer feedback and surveys
Data sources:
Transportation incident reports, shipment inspection records, customer feedback and surveys, claims and reimbursements, carrier performance, warehouse and handling records
Supply chain visibility and transparency
Supply chain managers need end-to-end visibility and transparency to identify bottlenecks and delays that impede efficiency. Data products provide deep insight into various cost drivers and their impact on revenue, enabling companies to identify inefficiencies and optimize operations. This enables more informed decision making and significantly increases operational efficiency and profitability.
Data sources:
Financial statements, accounts receivable data, accounts payable data, inventory records, purchase orders and invoices, payment and collection records
Data sources:
Financial records and statements, warehouse management, inventory management, inventory management, purchase orders and invoices, labor and staffing records, equipment maintenance and repair logs
Data sources:
Financial records and statements, purchase orders and invoices, transportation and logistics records, supplier contracts and agreements, inventory management, warehouse management
Data sources:
Financial records and statements, sales revenue, purchase orders and invoices, cost of goods sold data, transportation and logistics records, supplier contracts and agreements, inventory management, pricing and profitability
Data sources:
Order processing, manufacturing systems, transportation and logistics records, warehouse management, supplier performance, customer orders and deliveries, inventory management, production scheduling
Compliance and regulatory requirements
Ensuring compliance and meeting regulatory requirements is essential to maintaining industry standards and avoiding legal complications. Data products provide accurate metrics on order fulfillment and billing processes, enabling companies to closely monitor and adhere to industry regulations. This not only helps avoid costly legal issues, but also improves operational reliability and builds trust with stakeholders.
Data sources:
Order management, quality control and assurance records, customer feedback and complaints, regulatory compliance documentation, audit and inspection reports, supplier performance, shipping and delivery records, return and rework data
Data sources:
Warehousing expense reports, purchase and procurement records, energy and utility usage, equipment maintenance and repair logs, safety and compliance documentation, regulatory guidelines and requirements, environmental impact assessments, inventory management
Data sources:
Enterprise resource planning (ERP) system, warehouse management system (WMS), inventory management, financial management, purchases and procurements, supplier and vendors, labor and employee data, transportation and logistics
Data sources:
Sales orders, inventory data, order fulfillments, delivery tracking, customer feedback
Data sources:
Freight invoices and billing records, shipment manifests and transportation documents, internal financial and accounting systems, transportation management systems (TMS), electronic data interchange (EDI) transactions, proof of delivery records, audit and reconciliation reports, quality control verification processes
Sustainability and ethical practices
Companies with complex supply chains strive to operate ethically and responsibly. Data products provide insight into the reasons for product returns and the condition of goods upon delivery. They can identify and address areas for continuous improvement and ethical sourcing. This aligns with global standards and consumer expectations, enhancing brand reputation and long-term profitability.
Data sources:
Warehouse management systems (WMS), energy consumption tracking, waste management and recycling databases, supplier and vendor databases for ethical sourcing information, financial data, sustainability reporting platforms, supply chain and logistics, carbon footprint calculations
Data sources:
Internal financial systems and databases, procurement and purchase order systems, supplier and vendor management systems, transportation and logistics systems, energy consumption and utility records, waste management and recycling data, carbon footprint and emissions tracking, sustainability certifications and audit reports
Data sources:
Transportation management systems (TMS), fleet management, shipment tracking and tracing, order management systems (OMS), warehouse management (WMS), supplier management, carrier performance, delivery confirmations
Data sources:
Customer feedback and surveys, return authorization forms and records, customer service interactions and call logs, product return data and records, sales and order management, customer relationship management (CRM), e-commerce platforms and orders, production quality control and testing
Data sources:
Shipment records and documentation, inspection reports and quality control data, customer feedback and complaints, warehouse management system (WMS), transportation management system (TMS), order fulfillments, inventory management, packaging and labelling
Data silos and integration challenges
Data silos and integration challenges can significantly impede supply chain efficiency and coordination. Data products enable seamless data sharing and collaboration across multiple segments of the supply chain. This streamlines operations and improves overall efficiency and decision-making accuracy.
Data sources:
Enterprise resource planning (ERP), customer relationship management (CRM), financial systems, inventory management, sales and order management, supply chain management (SCM), logistics and transportation systems, vendor and supplier management
Data sources:
Order management, customer relationship management (CRM), warehouse management (WMS), inventory management, supplier management, transportation management (TMS), quality management, financial systems
Data sources:
Sales and invoicing, accounts receivable systems, customer relationship management (CRM), financial data, order management, payment processing, credit management
Data sources:
Order management, inventory management, warehouse management, sales and demand forecasting, supplier management, transportation and logistics, customer relationship management (CRM)
Common systems:
AllScripts, Anaqua, Anaplan, Apriso MES, ARISg, Apttus, BioClinica CTMS, Brandwatch, Cerner, Cerner Millennium Pharmacy, ComplaintPro, Conga Contracts, CPA Global, Empirica Signal, Epic, Epic Willow, Florence eBinders, Fishbowl, Freshdesk, GlobalData, Hootsuite, Icertis, Intuit QuickBooks, IQVIA, Jira Service Management, Medidata Rave, Microsoft Dynamics, Microsoft Excel, Microsoft Project, Microsoft Teams, Model N Revenue Cloud, NetSuite, OpenClinica, Oracle AERS, Oracle Argus Safety, Oracle Clinical Trial Management System, Oracle ERP, Oracle Financials, Oracle Health Sciences, Oracle Sales Cloud, Oracle Supply Chain Management, PAS-X, Pure, QuickBooks, REDCap, Revitas, Salesforce, SAP, SAP Inventory Management, SAP S/4HANA, SAP Supply Chain Management, ServiceNow, SharePoint, Siemens SIMATIC IT, Slack, SurveyMonkey, Sympletic Elements, Veeva CRM, VigiFlow, Xero, Zendesk.
Improving supply chain operations with dataBenefits of One Data
Build, manage and share data products
Build
Accelerate supply chain optimization with integrated data sources, enhancing decision-making and efficiency.
Manage
Improve supply chain data management with quality assurance, traceability, and lifecycle alerts.
Share
Facilitate secure data sharing in supply chains via a centralized marketplace, boosting logistics and innovation.
Reuse
Use and repurpose data products to streamline supply chain tasks, boosting performance and customer satisfaction.
Frequently asked questions
Data products bring precision to demand forecasting and planning in supply chains by effectively analyzing large data sets. This leads to more accurate predictions, optimized inventory levels, enhanced supply chain responsiveness, and reduced costs due to minimized stockouts and excess inventory.
In supply chain management, data products crucially aid in balancing inventory levels and minimizing costs. They provide accurate demand forecasting and efficient inventory management solutions, helping companies achieve an optimal inventory balance, thereby reducing costs and improving supply chain efficiency.
Data products offer valuable insights into supplier performance and product return reasons, enhancing supplier collaboration and relationship management. This leads to better coordination, improved risk management, more reliable operations, and cost reductions, thus elevating overall supply chain efficiency.
Data products are instrumental in optimizing routes and reducing transportation costs in supply chains. They provide accurate billing data and delivery insights, leading to substantial cost savings, improved service quality, and enhanced overall effectiveness and customer satisfaction in supply chain logistics.
Data products provide in-depth insights into various supply chain cost factors and their impact on sales, enabling businesses to identify inefficiencies and optimize operations. This enhanced visibility leads to more informed decision-making, significantly boosting operational efficiency and profitability in supply chain management.
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