DigitForce

Turn Industry Knowledge Into Agent Runtime

Convert scenario knowledge from consumer brands, retail chains, state-owned groups, high-tech manufacturing, banking, and securities into reusable data intelligence modules.

Industries

Consumer, Retail, State-owned, Manufacturing, Banking, Securities

Know-how

Metric ontology and Data Agent scenario knowledge

Runtime

Reusable industry intelligence modules

Brand Agent

Consumer Brands

PAIN: Fragmented channel metrics -> SOL: Growth Agent -> VAL: Member, channel, and inventory actions

Unify consumer, product, channel, inventory, cost, and profit metrics so brand growth moves from reporting to diagnosis and execution.

Retail Agent

Retail Chains

PAIN: Store operation blind spots -> SOL: ClawTeams closed loop -> VAL: Store strategy calibration

Connect members, products, stores, supply chains, and suppliers into a headquarters-region-store operating loop.

Government Enterprise Agent

State-Owned Groups

PAIN: Data assets hard to operate -> SOL: DataHub -> VAL: Traceable management decisions

Build a governable, callable, auditable, and operable data intelligence foundation for state-owned groups and data-element operations.

Manufacturing Agent

High-Tech Manufacturing

PAIN: Production-sales-R&D data gaps -> SOL: AI Ready foundation -> VAL: Faster quality and delivery attribution

Connect R&D, production, quality, supply chain, sales, and service data for quality attribution, delivery warning, and cross-plant reuse.

Banking Agent

Banking

PAIN: Fragmented metrics -> SOL: Ontology + Data Agent -> VAL: Risk and growth in one view

Build trusted Q&A and strategy execution across retail finance, credit cards, branch operations, risk monitoring, and customer journeys.

Securities Agent

Securities

PAIN: AUM and tags hard to reuse -> SOL: Intelligent metrics system -> VAL: Efficient customer asset operations

Unify metric and tag assets for wealth management, advisory service, product operations, and customer asset growth.