Problems It Solves
A retail SVP renovates several flagship stores and needs to know how they are performing right now. Instead, she gets the familiar routine: hopping across fragmented dashboards, waiting on IT for query changes, and validating numbers in offline spreadsheets before anyone will trust them.
So her team tries the obvious fix. They point Snowflake Cortex at the data warehouse and open a blank chat box. Then reality hits:
Ask about “stock cover” and the model finds nothing, because that phrase does not exist in the schema.
Ask why weekly revenue dropped and it guesses at joins, misreads the fiscal calendar, and returns numbers no one can defend.
Ask anything complex and it returns raw errors, or worse, confident answers that are simply wrong.
Faced with a blank screen and no guidance, users ask two questions, lose trust, and go back to spreadsheets.
The problem is not Cortex. The problem is deploying it without the business context, governance, and interface that enterprise retail demands.
What This Solution Does
Infocepts deploys a pre-built Semantic Intelligence Layer between Snowflake Cortex and your enterprise data, paired with an orchestration agent and a purpose-built user interface. Cortex stops guessing. It answers in your company’s language, using your metric definitions, your fiscal calendar, and pre-verified query logic.
The result is self-service retail intelligence that business users adopt and finance can defend. Deployed in three weeks using proven Infocepts intellectual property, not built from scratch.
How It Solves
Ground the model in your business.
Context-optimized semantic views define your metrics, dimensions, and fiscal calendar. Revenue, margin, and average transaction value are locked to exact formulas, so the model never invents math.
Speak your users’ language.
A synonyms registry maps real business vocabulary — “stock cover,” “sell-through,” regional shorthand — to the right data every time. A Verified Query Pack gives the model gold-standard SQL paths for your most important questions.
Orchestrate every request intelligently.
A super-agent detects intent, routes structured questions to Cortex Analyst and document questions to Cortex Search, validates results against the original ask, and formats the response before the user sees it.
Guide the user, don’t abandon them.
A custom React interface pairs live charts with the conversation. Suggestion chips under every chart fire perfectly scoped follow-up questions with one click, so users always know what to ask next.
Business Impact
Enterprise-grade governance, role-based access controls, and secure query handling ensure the platform remains compliant, trusted, and scalable as usage grows. The result is a faster, more agile organization that can confidently act on data, accelerate business outcomes, and maximize the return on its AI and analytics investments.
Speed
Executives get performance answers in seconds instead of waiting days on IT queues and dashboard requests.
Accuracy
Locked metric definitions and verified queries eliminate the guessed math and hallucinated joins that kill AI analytics projects.
Adoption
Guided suggestions replace the blank-screen problem, so usage grows instead of stalling after week one.
Cost and time
A three-week deployment of proven IP replaces months of do-it-yourself build, tuning, and rework.
Governance
Role-based access control, out-of-scope query handling, and graceful error responses keep the platform secure and enterprise-ready.
Key Capabilities
Leveraging AI-powered semantic intelligence, the platform delivers highly accurate responses through context-optimized semantic views tailored for speed and business relevance. Pre-defined and formula-bound metrics such as revenue, margin, average transaction value, and other critical KPIs ensure every insight is consistent, trusted, and business-ready.
Context-optimized semantic views tuned for language-model accuracy and speed
Named, formula-bound metrics: revenue, margin, average transaction value, and your KPIs
Synonyms registry that maps business jargon to exact data dimensions
Verified Query Pack of pre-approved, gold-standard SQL paths
Hardcoded fiscal calendar support, including 4-5-4 retail calendars, across week, month, and quarter granularities
Super-agent orchestration with dual-tool routing across Cortex Analyst and Cortex Search
Six-step execution framework: intent detection, tool selection, parameter extraction, execution, validation, formatting
Custom React interface with live charts, multi-modal chat, and one-click suggestion chips
Stateless, secure service layer with streaming responses and strict role-based access control
Who is it for?
Retail executives (CEO, COO, SVPs of Retail and Merchandising)
who need store, category, and inventory answers without waiting on reports.
Analytics and BI leaders
accountable for making self-service actually work.
CDOs and data platform teams
who own Snowflake and want Cortex to deliver on its promise.
Finance and operations teams
who need every number to reconcile with corporate reporting.
Partner Ecosystem
Powered by industry-leading partners, Retail Intelligence on Snowflake Cortex delivers trusted AI, faster insights, and tangible business results, helping retailers transform data into a lasting competitive advantage.
Resources
Explore real-world examples, industry insights, and best practices that demonstrate how organizations are leveraging Retail Intelligence on Snowflake Cortex to unlock faster insights, increase adoption, and deliver measurable business outcomes.
Blog
Infocepts vs Tredence: Which Data Engineering Partner for Retail and CPG is Best for Your Team?
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Agent-powered Data Platform on Databricks: How a Global Footwear Brand Scaled Planning Across 35+ Markets
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Omnichannel Customer Intelligence: Understanding Shoppers Across Physical and Digital Touchpoints
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The $1.7 Trillion Shelf Crisis: How AI-Powered On-Shelf Availability Is Rewriting Retail’s Biggest Loss Story
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From Manual Audits to Machine Vision: How AI Store Operations Are Eliminating Retail’s Execution Gap
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From Dashboard Overload to Action: Cutting Reporting Effort by 30 to 50% at Executive Scale
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Breaking Free from Legacy ETL: How Retailers Are Modernizing Batch Processing with Databricks
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Customer Behaviour Mapping & Integrated CRM Intelligence for a Global Fashion Retailer
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Driving Inventory Precision and Cost Savings with Unified Supply Chain Intelligence
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Fashion Retail in the Age of AI: Redefining Design and Customer Experience with Data & Intelligence
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Infocepts Helps Retailer Optimize Reporting & Cut Costs with Databricks Serverless
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AI-Powered Product Descriptions: Enhancing Speed, SEO, and Personalization in eCommerce
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Migration to (Micro)Strategy Cloud on Azure Optimizes Cost & Enhances Analytics Performance
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Modernizing Enterprise Analytics: (Micro)Strategy Software Cloud Migration for a Global Luxury Retailer
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Accelerated Power BI Migration and Analytics Modernization for a Global Food Company
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Infocepts Flash Enables 3X Faster Teradata to Databricks Migration for a North American Retailer
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Empowering Retail with AI: Boosting Efficiency, Security & Customer Satisfaction
Read MoreFAQs
What is the Infocepts Semantic Intelligence Layer for Snowflake Cortex?
It is a pre-built layer of semantic views, bound metrics, a synonyms registry, and verified queries that sits between Snowflake Cortex and your data. It gives Cortex the business context it needs to answer retail questions accurately and consistently.
Why do do-it-yourself Cortex deployments fail?
Pointing a language model at raw schemas forces it to guess at joins, metric formulas, business vocabulary, and fiscal calendars. The result is wrong answers, raw errors, and users who abandon the tool. A governed semantic layer removes the guessing.
How fast can this be deployed?
Three weeks. Infocepts deploys proven, pre-configured intellectual property — semantic views, query packs, orchestration logic, and the interface — then tunes it to your data and KPIs.
Does it handle unstructured data too?
Yes. The orchestration agent routes quantitative questions to Cortex Analyst and text questions, such as themes in customer support tickets, to Cortex Search, and can combine both in one answer.
How is security and governance handled?
The platform enforces strict role-based access control, shields backend structures from the model, controls out-of-scope queries, and runs on a stateless, secure service layer within your Snowflake environment.
Cortex Is Powerful. Enterprise-Ready Takes More.
The Enterprise AI & Data Transformation Partner. Delivering measurable business impact globally.
#1 on Gartner Peer Insights · 97.2% client retention
Email: sales@infocepts.com
Headquarters: Washington, D.C., USA