Metric Definitions Split Across Channels
E-commerce, stores, private-domain traffic, distributors, and supply-chain systems often calculate the same metric differently, so headquarters cannot see one trusted operating truth.
Consumer Brands
Consumer Brands solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
Consumer Brands
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Consumer Brands solution powered by metrics semantic ontology and Data Agent capabilities, helping enterprises become Data AI Ready and upgrade decision intelligence.
Where business teams get blocked before AI can work.
E-commerce, stores, private-domain traffic, distributors, and supply-chain systems often calculate the same metric differently, so headquarters cannot see one trusted operating truth.
OneID, membership, mini-program, store, and campaign data are difficult to align, making segmentation, repurchase prediction, and churn warning hard to operationalize.
Campaign cost, channel execution, store conversion, and member repurchase are disconnected, so growth teams struggle to decide which action should be scaled.
New product launch, replenishment, distributor inventory, and terminal sales signals do not form a closed loop, creating both stock-out and overstock risks.
Brand, channel, product, and supply-chain teams need fast answers, but traditional BI and report development cannot keep up with daily operating decisions.
Turn metrics, agents, and actions into one operating loop.
Use SwiftMetrics to align consumer, product, channel, store, inventory, and finance metrics into a reusable semantic layer for headquarters and frontline teams.
Data Agent lets teams ask why conversion, repurchase, SKU margin, or inventory health changed, then returns attribution, drill-down paths, and suggested actions.
SwiftXDP, SwiftMA, and ClawTeams connect tags, strategies, tasks, and results so growth actions move from insight to execution and review.
DataHub packages trusted metrics, tags, and scenario templates into reusable assets for brand headquarters, agencies, distributors, and channel partners.
Reusable field method for Data AI Ready transformation.
Do not start with dashboards. Build the consumer, SKU, channel, store, and inventory metric tree first.
Metric TreeConnect cost, exposure, conversion, repurchase, and margin so every campaign has a traceable action path.
ROI TracePush headquarters insights into regional and terminal execution tasks, then collect feedback into the metric layer.
Execution LoopReuse launch review, membership churn, SKU health, and replenishment templates through DataHub.
Scenario AssetRepresentative landing scenarios across leading enterprises.

DigitForce aligned metric definitions across group, regional, store, and franchise scenarios, turning scattered operating data into a governed metric asset.
Pain:Large-scale store and franchise operations created metric islands across departments and systems.
Solution:SwiftMetrics standardized metric logic, exposed APIs, and made key operating metrics usable by business teams.
Value:From metric definition to store operations, regional management, and scenario-based decision analysis.

DigitForce supported refined user operations around membership, product preference, consumption frequency, and channel behavior.
Pain:Consumer journeys and product preferences were fragmented across channels.
Solution:SwiftXDP and SwiftMA built 360-degree profiles, segment strategies, and campaign feedback loops.
Value:From consumer tags to lifecycle strategy and campaign result analysis.

A global FMCG data asset platform connected metric governance with business-facing data products for brand, sales, and operation teams.
Pain:Data assets were hard to find, trust, and reuse across business teams.
Solution:SwiftMetrics and DataHub organized metric assets, permissions, and consumption paths.
Value:From data asset inventory to trusted usage in daily brand operations.
E-commerce, stores, private-domain traffic, distributors, and supply-chain systems often calculate the same metric differently, so headquarters cannot see one trusted operating truth.
OneID, membership, mini-program, store, and campaign data are difficult to align, making segmentation, repurchase prediction, and churn warning hard to operationalize.
Campaign cost, channel execution, store conversion, and member repurchase are disconnected, so growth teams struggle to decide which action should be scaled.
New product launch, replenishment, distributor inventory, and terminal sales signals do not form a closed loop, creating both stock-out and overstock risks.
Brand, channel, product, and supply-chain teams need fast answers, but traditional BI and report development cannot keep up with daily operating decisions.
Use SwiftMetrics to align consumer, product, channel, store, inventory, and finance metrics into a reusable semantic layer for headquarters and frontline teams.
Data Agent lets teams ask why conversion, repurchase, SKU margin, or inventory health changed, then returns attribution, drill-down paths, and suggested actions.
SwiftXDP, SwiftMA, and ClawTeams connect tags, strategies, tasks, and results so growth actions move from insight to execution and review.
DataHub packages trusted metrics, tags, and scenario templates into reusable assets for brand headquarters, agencies, distributors, and channel partners.
A Data Agent only works when industry concepts, metrics, roles, permissions, and execution workflows are modeled together.
Do not start with dashboards. Build the consumer, SKU, channel, store, and inventory metric tree first.
Connect cost, exposure, conversion, repurchase, and margin so every campaign has a traceable action path.
Push headquarters insights into regional and terminal execution tasks, then collect feedback into the metric layer.
Reuse launch review, membership churn, SKU health, and replenishment templates through DataHub.


DigitForce aligned metric definitions across group, regional, store, and franchise scenarios, turning scattered operating data into a governed metric asset.
Pain: Large-scale store and franchise operations created metric islands across departments and systems.
Solution: SwiftMetrics standardized metric logic, exposed APIs, and made key operating metrics usable by business teams.
Value Path: From metric definition to store operations, regional management, and scenario-based decision analysis.


DigitForce supported refined user operations around membership, product preference, consumption frequency, and channel behavior.
Pain: Consumer journeys and product preferences were fragmented across channels.
Solution: SwiftXDP and SwiftMA built 360-degree profiles, segment strategies, and campaign feedback loops.
Value Path: From consumer tags to lifecycle strategy and campaign result analysis.


A global FMCG data asset platform connected metric governance with business-facing data products for brand, sales, and operation teams.
Pain: Data assets were hard to find, trust, and reuse across business teams.
Solution: SwiftMetrics and DataHub organized metric assets, permissions, and consumption paths.
Value Path: From data asset inventory to trusted usage in daily brand operations.