R&D, Production, Sales, and Supply Data Are Disconnected
PLM, ERP, MES, CRM, WMS, and quality systems often define products, batches, orders, and costs differently, making cross-domain analysis difficult.
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SwiftMetrics Ontology FoundationSemantic capability for AI-callable enterprise dataData AgentNatural-language analytics and decision intelligenceClawTeams AI TeamGoal-driven AI team collaboration and deliveryDataHub Data AssetsCompliant data product marketplace with PSISwiftXDP Multi-Entity Tag PlatformMulti-entity tags and customer intelligenceSwiftMA Marketing AutomationCreate, execute, and optimize personalized marketing strategies
Consumer BrandsMembers, channels, inventory, and growth loopsRetail ChainsHQ-region-store operating agentsState-Owned GroupsData elements and management decisionsHigh-Tech ManufacturingQuality, delivery, and inventory attributionBankingTrusted Q&A, risk, and customer journeysSecuritiesAUM, advisory service, and asset operations
High-Tech Manufacturing
High-Tech Manufacturing
High-Tech Manufacturing solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
Industry
High-Tech Manufacturing
Pain Signals
5
Know-how / Cases
4 / 3
INDUSTRY AGENT
BOM
Quality
Order
Inventory
Supplier
Delivery
SEMANTIC
ANALYTIC
ACTION
Industry Intelligence
High-Tech Manufacturing
High-Tech Manufacturing solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
SwiftMetricsData AgentClawTeamsDataHub
PainR&D, Production, Sales, and Supply Data Are Disconnected
SolutionProduct-Process Metric Ontology
ValueFrom product data assets to North Star metrics and platform growth analysis.
Pain Points
Where business teams get blocked before AI can work.
Quality and Delivery Problems Are Hard to Diagnose
Yield, defect, rework, delivery, supplier, and equipment signals are scattered, so root-cause analysis depends on senior experts.
Forecast, Inventory, and Capacity Are Misaligned
Sales forecasts, production plans, material readiness, and inventory risk cannot form a real-time management loop.
AI Adoption Lacks an Industry Knowledge Layer
Generic AI tools cannot safely reason over BOM, process route, quality rules, and engineering terminology without a governed semantic base.
Data Assets Are Not Reused Across Plants
Templates, metrics, and analysis workflows from one plant or product line are hard to reuse across sites and business units.
Solution Advantages
Turn metrics, agents, and actions into one operating loop.
Product-Process Metric Ontology
SwiftMetrics connects product, order, BOM, process, quality, equipment, supplier, inventory, and cost metrics into one semantic layer.
Manufacturing Data Agent
Data Agent supports quality, delivery, inventory, capacity, cost, and sales questions with attribution paths and expert-style explanations.
Cross-Plant Scenario Replication
ClawTeams and DataHub turn yield diagnosis, supplier monitoring, inventory warning, and production review into reusable workflows.
Data AI Ready for Industrial Knowledge
Combine metric governance, knowledge documents, and controlled permissions so AI can use manufacturing data safely and accurately.
Industry Know-how
Reusable field method for Data AI Ready transformation.
Model Products and Processes Together
Manufacturing analysis fails when product master data, BOM, process route, quality, and cost are modeled separately.
Product-ProcessTurn Expert Experience Into Agent Skills
Root-cause analysis should encode senior engineers' diagnostic paths into reusable Agent workflows.
Expert SkillLink Forecast, Capacity, and Inventory
AI Ready manufacturing data needs sales forecast, production plan, material readiness, and inventory risk in one loop.
S&OP LoopReplicate Across Plants
The value of a manufacturing Agent grows when successful templates can be reused across factories and business units.
ReplicationCustomer Cases
Representative landing scenarios across leading enterprises.
Mailian Metrics Platform Project
DigitForce built core product standard-library and data asset cloud systems based on product and transaction data assets.
Pain：Industrial product and transaction data needed to become reusable operating assets.
Solution：SwiftMetrics organized product standard libraries and operating metric assets for the platform.
Value：From product data assets to North Star metrics and platform growth analysis.
Smart Manufacturing Group Metrics and Tags Project
DigitForce collaborated with the group around metrics and tag management to co-create a new chapter of digital upgrade.
Pain：Manufacturing metrics, member data, customer data, and product tags needed unified governance.
Solution：SwiftMetrics and SwiftXDP connected analysis platform, data center, and operating tags.
Value：From manufacturing metrics to customer/product insight and operation analysis.
Industrial Supplies Platform Middle-Office Project
The project planned a business middle platform and product center for an industrial supplies service platform.
Pain：Massive SKU management, product attributes, and business middle-platform migration required structured governance.
Solution：DigitForce designed product-center modules, architecture planning, and attribute governance.
Value：From product center to business middle platform and high-performance SKU service.
Pain Signals
Industry Pain Points
R&D, Production, Sales, and Supply Data Are Disconnected
PLM, ERP, MES, CRM, WMS, and quality systems often define products, batches, orders, and costs differently, making cross-domain analysis difficult.
Quality and Delivery Problems Are Hard to Diagnose
Yield, defect, rework, delivery, supplier, and equipment signals are scattered, so root-cause analysis depends on senior experts.
Forecast, Inventory, and Capacity Are Misaligned
Sales forecasts, production plans, material readiness, and inventory risk cannot form a real-time management loop.
AI Adoption Lacks an Industry Knowledge Layer
Generic AI tools cannot safely reason over BOM, process route, quality rules, and engineering terminology without a governed semantic base.
Data Assets Are Not Reused Across Plants
Templates, metrics, and analysis workflows from one plant or product line are hard to reuse across sites and business units.
Agent Solution
Solution Advantages
Product-Process Metric Ontology
SwiftMetrics connects product, order, BOM, process, quality, equipment, supplier, inventory, and cost metrics into one semantic layer.
Manufacturing Data Agent
Data Agent supports quality, delivery, inventory, capacity, cost, and sales questions with attribution paths and expert-style explanations.
Cross-Plant Scenario Replication
ClawTeams and DataHub turn yield diagnosis, supplier monitoring, inventory warning, and production review into reusable workflows.
Data AI Ready for Industrial Knowledge
Combine metric governance, knowledge documents, and controlled permissions so AI can use manufacturing data safely and accurately.
Industry Know-how
How to Make Industry Data AI Ready
A Data Agent only works when industry concepts, metrics, roles, permissions, and execution workflows are modeled together.
Product-Process
Model Products and Processes Together
Manufacturing analysis fails when product master data, BOM, process route, quality, and cost are modeled separately.
Expert Skill
Turn Expert Experience Into Agent Skills
Root-cause analysis should encode senior engineers' diagnostic paths into reusable Agent workflows.
S&OP Loop
Link Forecast, Capacity, and Inventory
AI Ready manufacturing data needs sales forecast, production plan, material readiness, and inventory risk in one loop.
Replication
Replicate Across Plants
The value of a manufacturing Agent grows when successful templates can be reused across factories and business units.
Customer Cases
CASE
CASE
Customer Cases
SwiftMetrics
Mailian Metrics Platform Project
DigitForce built core product standard-library and data asset cloud systems based on product and transaction data assets.
Pain: Industrial product and transaction data needed to become reusable operating assets.
Solution: SwiftMetrics organized product standard libraries and operating metric assets for the platform.
Value Path: From product data assets to North Star metrics and platform growth analysis.
Significantly improved metric development and usage efficiency
Smart Manufacturing Group
CASESwiftMetrics / SwiftXDP
Smart Manufacturing Group Metrics and Tags Project
DigitForce collaborated with the group around metrics and tag management to co-create a new chapter of digital upgrade.
Pain: Manufacturing metrics, member data, customer data, and product tags needed unified governance.
Solution: SwiftMetrics and SwiftXDP connected analysis platform, data center, and operating tags.
Value Path: From manufacturing metrics to customer/product insight and operation analysis.
Significantly improved operations analysis efficiency
Business Middle Platform
Industrial Supplies Platform Middle-Office Project
The project planned a business middle platform and product center for an industrial supplies service platform.
Pain: Massive SKU management, product attributes, and business middle-platform migration required structured governance.
Solution: DigitForce designed product-center modules, architecture planning, and attribute governance.
Value Path: From product center to business middle platform and high-performance SKU service.
Supported high-performance storage for 50 million SKUs