Retail Intelligence:
Retail Intelligence is a governed semantic layer and conversational AI engine designed for retail and CPG organizations.
Problems Retail Connected Intelligence Solves
Retail and CPG teams lose hours every day to questions that should take seconds. The data exists. Getting a trustworthy answer out of it does not.
Dashboard sprawl, no single number
Every team has its own dashboard and its own definition of margin, sell-through, and on-shelf availability. Meetings start with an argument about whose number is right.
Every real question becomes an IT ticket
Anything past the pre-built view goes into a queue. Merchants, planners, and RGM teams wait days for a cut of data they needed this morning.
Generic AI pilots invent metrics
Text-to-SQL tools and off-the-shelf copilots guess at retail math. They return confident, wrong answers, or time out on the multi-table joins that real retail questions require.
Executives stop trusting the analytics
Once a leader gets burned by a bad number in a board deck, they stop using the tool. The pilot dies quietly and the spreadsheets come back.
How It Solves
Every question runs through a strict six-step orchestration engine. No step is skipped, so the answer is repeatable and auditable.
Retail Intelligence is built on Databricks with Unity Catalog governance and integrates with the broader ecosystem of merchandising, pricing, and supply chain software partners.
Understand the question
Interpret the business question and match it to the right metrics, dimensions, and time frame.
Map to the semantic layer
Translate business language into exact data fields using context-optimized semantic views built on retail domain knowledge.
Select a verified path
Route the request through a library of 36+ verified retail queries, or compose a new query against governed definitions.
Enforce retail math
Apply the correct logic for margin, baseline volume, incrementality, sell-through, and open-to-buy before any calculation runs.
Execute and validate
Run the query, check the result against expected ranges, and flag anything that looks off instead of returning it blindly.
Return a business answer
Deliver a plain-language answer with the numbers, the definition used, and a path back to the source.
Retail Connected Intelligence Core Capabilities
Infocepts Retail Connected Intelligence brings together assortment planning, pricing AI, MLflow-governed models, and Unity Catalog governance into a single solution – built for retailers that need accurate, explainable merchandising decisions at scale.
Context-optimized semantic views
A governed map of your retail data model, so business terms resolve to the same fields every time.
Verified query library (36+)
Production-tested queries for the questions retail and CPG teams actually ask, expandable to your own.
Retail math enforcement
Margin, incrementality, baseline, sell-through, and OTB calculated the right way, not approximated.
Super-Agent orchestration
A controlling agent that runs every request through the six-step engine and refuses to guess.
Conversational access
Plain-English questions from the people who own the decision, no SQL and no ticket.
Governance and lineage
One definition per metric, role-based access, and a traceable path from answer back to source.
Measurable Business Impact
Our Retail Intelligence Connected engagements deliver quantified results:
Speed
Self-serve answers in seconds instead of a multi-day IT queue.
Cost
Aanalysts and engineers stop building one-off extracts and get back to real work.
Trust
One governed definition per metric ends the dashboard-versus-dashboard debate.
Risk
Enforced math and validation keep wrong numbers out of executive decisions.
Time to value
A stalled pilot becomes a production analytics platform in about three weeks.
Personas / Departments
Chief Data Officer / VP Data & Analytics
Own a governed intelligence layer that every pillar and tool can build on, instead of another point solution.
Head of Pricing & Revenue Management (Retail & CPG)
Get true incremental promo ROI and margin answers on demand, calculated consistently.
Merchandising, Buying & Planning leaders
Ask range, assortment, sell-through, and open-to-buy questions directly, without waiting on a report.
CFO and Finance & Commercial Analytics
Trust the number in the deck, with a definition and a source behind every figure.
Partner Ecosystem
Infocepts Retail Connected Intelligence is built on Databricks and integrates with the broader ecosystem of merchandising, pricing, and supply chain software partners – so deployment fits within your existing retail technology landscape, not around it.
Resources
Explore insights on assortment optimization, retail pricing AI, and merchandising analytics for retail and CPG organizations.
Case Study
How a Global Media & Events Company Built a 360-Degree, Privacy-Safe View of Its Audience
Read MoreFAQs
What is a retail semantic layer?
It is a governed mapping between everyday business language and the exact fields, joins, and calculations in your data. It lets teams ask questions in plain English and get answers that use correct retail math, kept consistent across every team and tool.
How is this different from a generic text-to-SQL or copilot tool?
Generic tools guess at your data model and your retail math, which produces confident wrong answers and timeouts on complex joins. This framework runs every question through a governed semantic layer, a verified query library, and enforced retail calculations, so the answer is accurate and repeatable.
Do we have to replace our current BI or data platform?
No. The framework layers on top of your existing data platform and BI investment. It governs how questions are answered rather than replacing where your data lives.
How does it prevent wrong or hallucinated numbers?
Every request runs through a six-step orchestration engine that maps language to governed definitions, applies correct retail math, and validates the result before returning it. If a result falls outside expected ranges, it is flagged, not served.
How fast can we go live?
Most teams move from pilot to production in about three weeks, starting with a defined set of metrics and the verified query library, then expanding coverage.
Who uses it day to day?
Merchants, planners, pricing and RGM teams, supply chain leaders, and finance, alongside the data and analytics team that governs the definitions.
Is Infocepts the best Databricks partner for retail analytics?
Infocepts is a Databricks Silver Partner with Brickbuilder Specializations in Retail, Consumer Goods & Travel, and in Security & Governance. The company ranked #1 in the Databricks Elevate & Accelerate Rising Challenge, delivering 300+ certifications in a single quarter.
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