Connector Database / Salesforce Commerce
Analyze your Salesforce Commerce data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Salesforce Commerce data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Salesforce Commerce data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Salesforce Commerce data with DuckDB-powered data warehouse including MongoDB, Google Analytics and Quickbooks.
Available Salesforce Commerce Data
Extracts Salesforce Commerce Cloud (SFCC) data across product catalogs, categories, products and variants, prices, inventory lists and product inventory records, sites and locales, customers and addresses, orders, and order notes. This enables end-to-end commerce analysis including merchandising and catalog coverage, pricing and inventory reporting, site configuration and localization, customer segmentation, and order performance with items, payments, shipments, taxes, and notes.
Product
Master products with merchandising attributes, availability, and rich content used to analyze assortment coverage, product performance, and content completeness across sites and locales.
Product Variant (SKU)
Sellable variants with variation attributes and relationships to master products, enabling size/color performance, option adoption, and variant-level availability and content analysis.
Price
Per-product pricing (list/sale, min/max) across contexts; supports price compliance, markdown tracking, and competitive pricing analysis.
Inventory
Inventory lists and per-product stock records indicating availability by list or location; used for out-of-stock rate, availability coverage, and backorder exposure reporting.
Catalog
Product catalog containers with assignments and properties, enabling reporting by catalog and multi-catalog merchandising strategies.
Category
Category taxonomy and metadata for browse/navigation analysis, supporting category performance, product coverage, and hierarchy-level KPIs.
Site
Commerce storefronts with associated settings, enabling multi-site performance segmentation and cross-site merchandising comparison.
Locale
Locales enabled per site that drive language and currency contexts, supporting localized pricing, content coverage, and regional sales analysis.
Customer
Customer profiles and addresses for segmentation, geographic analysis, repeat purchase behavior, and cohort reporting.
Customer Group
Customer segments and their memberships used for VIP/wholesale targeting, eligibility, and group-based performance analytics.
Order
Orders with headers, line items, payments, shipments, and taxes, powering GMV, AOV, conversion, fulfillment, and tax reporting with incremental windows.
Order Note
Internal comments and annotations on orders that support audit trails, exception handling, and qualitative analysis of service issues.
Authentication Required
Authenticates to Salesforce Commerce Cloud via OAuth 2.0 Client Credentials using your Client ID and Client Secret; the Order Notes stream uses a username/password-based OAuth flow with the same client credentials.
Getting started with
Salesforce Commerce Analytics & Business Intelligence
Connect your Salesforce Commerce data
Connect to Salesforce Commerce once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
Salesforce Commerce usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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