Architecture Visualization

Architecture Visualization

The following is a high-level reference architecture overview of Robling + Sell-Thru.AI.

The following is a high-level reference architecture overview of Robling + Sell-Thru.AI.

We crafted the below primarily to assist the CIO organization and AI Steering Committees in their high-level understanding. We are happy to discuss this architecture in more detail in a formal briefing.
Sell-thru-ai-components
Sell-Thru.AI
Sell-Thru.AI Components
The following describes the core Sell-Thru.AI layers and core components to enable speciality retail operators to have rapid answers to meaningful operational questions combined with role-aware proactive AI-driven insights.
Operational Personas
Sell-Thru.AI is focused on serving the analytical and operational needs of Merchandising, Marketing, Omnichannel Operations, Store Operations, Supply Chain, Finance and Executive personas.
AI Intelligence
This is the user experience (UX) + natural language understanding & routing + deep reasoning guided response & context awareness + security & access controls (RBAC) layer.
AI Agents
This is the cross-domain, complex multi-step logic, workflows component. It coordinates multi-AI analyst orchestrations as well as SQL, built-in or custom ML, and API orchestrations.
AI Analysts
This is the domain specific AI analyst component. AI analysts are aligned to and interact with specific semantic models and are experts in those models and the underlying data.
Specialty Retail Semantic IQ
Grounded & encoded specialty retail analytic knowledge (metrics, labels, descriptions, hierarchies, natural language LLM markers) purpose built for trustworthy AI.
Semantic Foundation
Entities, attributes, dimensions, measures, relationships.
Specialty Retail Data Mart
Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both for Sell-Thru.AI and Robling’s BI analytics offerings.
robling-components
Robling
Robling Components
The following describes the core Robling layers and components. Robling customers already have everything in place to easily explore the adoption of the Sell-Thru.AI application.
BI
BI reporting and analytics layer field hardened w/ decades of experience, supports Looker, Power BI, Tableau, ThoughtSpot, Qlik, MicroStrategy, Excel and more.
Specialty Retail Data Mart
Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both Robling’s BI analytics offerings and for Sell-Thru.AI. Robling customers already have this in place to power Sell-Thru.AI use cases.
Specialty Retail Enterprise Data Model
Unified schema that encodes the full breadth of a retailer’s operations — from product, store, customer, and calendar hierarchies to sales, inventory, margin, and promotion facts — into a consistent, governed structure. Field hardened w/ decades of specialty retail experience.
Data Lake & Data Transformations
Serves as the raw landing zone for all retailer source systems, storing data in its original form for scalability and traceability. Through a series of data transformations — cleansing, harmonization, hierarchy mapping, and retail-specific business logic encoding — this raw data is standardized and reshaped into the governed Specialty Retail Enterprise Data Model and Data Mart that powers analytics, BI, and AI.
Connectors
Oracle, MSFT Dynamics, Blue Yonder (JDA), Aptos, Manhattan Associates, Salesforce Commerce Cloud, and custom extracts.
Data Sources
Customer, merchandising / ERP, e-commerce, order management, warehouse management (WMS), planning / allocation data source systems that feed into Robling.
retailers-sell-thru-ai
Bring Your Own (BYO)
Retailer’s Enterprise Data Model & BI Infrastructure + Sell-Thru.AI
Speciality retailers may leverage their own their own enterprise data model and BI infrastructure while deploying the Sell-Thru.AI application and the Robling / Sell-Thru.AI Speciality Retail Data Mart.
Specialty Retail Data Mart
Retail intelligence fabric in the form of a single-table, retail-native data mart designed to simplify AI, BI, and KPI workflows. Built to encode decades of specialty retail business logic into a consolidated model. Unifies disparate retail data sources into a single-table structure for fast analytics and AI reasoning, and provides a consistent, governed “truth layer.” Foundation for both Robling’s BI analytics offerings and for Sell-Thru.AI. This is a required Robling / Sell-Thru.AI layer for when a specialty retailer wishes to leverage their own enterprise data model and BI infrastructure.
Bring Your Own (BYO)
Speciality retailers are able to "bring your own" enterprise data model and BI infrastructure and leverage the Sell-Thru.AI application. Requires deployment of the Robling / Sell-Thru.AI Speciality Retail Data Mart.