Your Retail Data Has the Answers.
Your Ops Leaders Are Still Building Spreadsheets.
Patterson Consulting modernizes your retail data platform on Databricks and deploys the Decision Intelligence Agents that turn warehouse analytics into operational narrative — so your data team has infrastructure they're proud of and your ops leaders have answers they can act on.
Your Analytics Stack Moves Slower
Than Your Business
Retail runs on matching products to customers at the right place, time, and price. That requires decisions made quickly on accurate data — and most retail analytics stacks were not built for that speed.
Read: Decision Intelligence — closing the gap between data and business judgmentWeek-Old Reports Driving Allocation
Store managers and regional directors are making replenishment and allocation decisions from reports that are days or weeks behind. By the time the data arrives, the stockout has already happened or the markdown is already necessary.
Inventory Variance Buried in Dashboards
Your dashboards surface the numbers. But getting from "shrink is up 4% at location 17" to "here is why, and here is what to do next" still requires an analyst to assemble the narrative — work that should be automated, not scheduled.
Ops Leaders Doing Analyst Work
Regional ops managers spend hours before every leadership meeting pulling, correlating, and assembling context from multiple systems. That time belongs to judgment and decisions — not to the execution work of finding and formatting data.
The Foundation + The Intelligence Layer
The data engineering work creates the platform. The Decision Intelligence layer creates the value your business leaders can see. Both decisions belong to the same conversation.
Databricks Data Foundation
A unified, governed data lakehouse that gives your data team the infrastructure to build on — and your operations teams a single version of the truth to work from.
- Real-time ingestion from POS, e-com, loyalty, vendor EDI, and logistics via Lakeflow Connect
- Governed semantic layer with Unity Catalog Metric Views — consistent KPIs across every team
- Serverless SQL and Lakeflow Jobs — KPIs in minutes, not weekly batch
- Lineage, access control, and audit trail across the full data stack
Decision Intelligence Agent Layer
AI agents deployed on top of your data foundation that automate the execution-layer cognitive work — so your operations leaders get operational narrative answers, not more panels to interpret.
- Automated weekly performance narratives for regional ops managers
- Root-cause narrative for inventory variance — from data to recommended action
- Demand and allocation signals surfaced in the format decision-makers actually use
- Output integrates into your existing dashboards and reporting workflows
"The data engineering work creates the platform. The Decision Intelligence layer creates the value your business leaders can see."
Build the Data Foundation Retail Operations Require
Retail data is scattered — POS, e-com, loyalty, vendor EDI, logistics — making it hard to answer even basic questions: what's selling where, at what margin, and what do we order next? Patterson Consulting uses Databricks to unify these sources into a governed, near-real-time layer with reliable pipelines, standard schemas, and lineage.
The result is one operating picture with clear item/location margin and sell-through, timely allocation and replenishment signals, and faster decisions — built on the architecture your data team can actually own and maintain.
Learn About Migration to DatabricksUnified Retail Data Integration
Ingest and govern POS, e-com, loyalty, vendor EDI, and logistics into a single medallion architecture. Reliable pipelines, standard schemas, and full lineage — so every team works from the same version of the truth.
Real-Time KPI Layer
Close the gap between events and decisions. Streaming and batch pipelines that deliver KPIs in minutes — not weekly batch runs. Fewer stockouts and markdowns because your team sees what's happening now, not last Tuesday.
Governed Semantic Layer
Define metrics once. Use them everywhere. Unity Catalog Metric Views create a governed semantic layer so finance, operations, and merchandising all work from the same margin, sell-through, and fill-rate definitions.
See Decision Intelligence in Action
Watch how Decision Intelligence Agents analyze retail logistics data in real time — answering the operational questions your team is spending hours building manually today.
VP Eng sees the agent architecture running on Databricks. Ops leaders see the operational output — narrative answers grounded in governed data, delivered without a data team in the loop.
Learn About the ServiceDecision Intelligence Agents for Retail Line of Business
Recurring decisions that consume disproportionate execution time are the primary target for cognitive labor automation. Here are the highest-value candidates in retail operations.
Store Conversion Variance Review
District and regional managers lose review time debating whether one store's conversion decline is local execution or a district-wide pattern. This workflow assembles the store vs. prior period and district median comparison automatically — before the meeting.
Planogram Compliance Driver Attribution
When planogram compliance drops, merchandising teams need to prove whether the problem is inventory, store execution, or planogram fit. This workflow assembles the evidence, ranks the drivers, and produces a store-level remediation list — without requiring an analyst to pull the data.
On-Shelf Availability Variance
When a store's sales dip, district leaders need to know whether on-shelf availability is failing at that location or drifting across the district. This workflow delivers a period-over-period and district-median OSA comparison scorecard — ready before the escalation call.
BOPIS Pickup Drift Detection
When a store's BOPIS pickup speed slips, district ops leaders need to know whether the issue is local or district-wide before the next escalation call. This workflow calculates store performance versus prior period and district median — in seconds, not a spreadsheet session.
Pick Productivity Driver Brief
When pick productivity drops, fulfillment coordinators need to know whether the problem is routing, exceptions, or order complexity before backlog builds. This workflow produces a ranked driver brief and action-ready shift handoff in minutes — not after the next planning cycle.
Supply Chain Disruption Reroute Brief
When weather spikes and DC constraints collide, supply chain leads need to reconcile inventory positions, shipment ETAs, and demand signals fast enough to defend reroute decisions. This workflow produces a ranked driver brief and shipment action list in minutes — not after the crisis has already resolved.
Retail Managers Shouldn't Be Doing Analyst Work
Every regional manager's day divides into two fundamentally different kinds of work: execution work (finding data, assembling context, formatting reports) and judgment work (making allocation, pricing, and staffing decisions). The first type is automatable by definition. The second is where the most experienced people in your organization create the most value.
A well-built Databricks foundation makes it possible to automate the execution layer. Decision Intelligence Agents make that automation operational. Together, they free your retail managers to do what they were hired to do.
Read: The Three Layers of Knowledge WorkExecution Layer
1×Data retrieval, report assembly, dashboard correlation, variance lookup. Repeatable, schedulable, automatable.
Judgment Layer
3–5×Diagnosis, prioritization, allocation decisions, vendor negotiations. Amplified when freed from execution work.
Strategic Layer
7–10×Category direction, assortment strategy, market positioning. Compounds over time. Gets more time when the other two layers are running efficiently.
How Much Cognitive Labor Are Your Retail Teams Losing to Data Assembly?
Use our free Cognitive Labor Calculator to model the execution-layer time your regional managers, merch analysts, and ops leads spend on data assembly — and what it's worth when that time gets redirected to judgment work.
Try the Cognitive Labor Calculatorof retail knowledge worker time is execution-layer labor — data assembly, report building, dashboard correlation
value multiplier when execution time is redirected to allocation, merchandising, and operations judgment work
to build a working retail Decision Intelligence prototype — not months — using the Knowledge Work Foundry
See Decision Intelligence Built for Your Retail Data, Live
Join our Decision Intelligence on Databricks workshop. Bring your data team and your ops leads. We'll identify your highest-value retail automation candidates, prototype a working agent against your actual workflows, and model the ROI — all in a single session.
Live functional area analysis of your retail org structure
Working retail Decision Intelligence prototype built during the session
Economic model you can take to your CFO and ops leadership
From the Blog: Building Retail Intelligence on Databricks
Technical guides and architecture articles from the Patterson Consulting team
Driving Retail Information Architecture with the Databricks Medallion Architecture
How to organize and govern retail data — from POS to analytics — using the medallion architecture pattern on Databricks.
Read
Building a Retail Semantic Layer with Unity Catalog Metric Views
How Databricks Unity Catalog Metric Views create a governed semantic layer that transforms complex retail data into consistent, business-ready insights.
Read
Building a Retail Analytics Conversational UX with Databricks Genie
Genie allows COOs and business leaders to ask natural-language questions and receive instant answers grounded in governed data from Unity Catalog.
ReadCommon Questions
Questions we hear from both data engineering and line-of-business teams.
Expert services with our partners
Let's talk about your retail data platform.
Patterson Consulting helps retail organizations modernize their data infrastructure on Databricks and deploy the Decision Intelligence Agents that make that infrastructure visible to the line of business. Whether you're starting with data platform modernization or ready to add the Decision Intelligence layer, we'll meet you where you are.
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