Retail Pulse
Your transactions become decisions.

A real-time operational model that unifies transactional data, analytics, and autonomous AI agents on Databricks — so your shelves never wait for the morning report.


THE PROBLEM:
Information is there.
The reaction is late.


Most retail and CPG companies don't have a data problem — they have a latency problem. Transactions happen in one system, insights live in another, and decisions depend on someone manually closing the gap. By the time the report is ready, the opportunity is gone.


Hours-old data
Overnight ETL pipelines mean checkout data only reaches dashboards the next morning. Stockouts discovered 6–24 hours after they happen.

Reactive management
Store managers find empty shelves when customers complain — not when the system has 3 hours to respond.

Fragmented stack
Kafka, Debezium, separate OLTP and OLAP systems, external ETL — each one adds latency, cost, and another team to coordinate.

4–8% revenue at risk
Industry estimates attribute 4–8% of annual revenue loss to stockouts. The product exists — the response time doesn't.

One platform.
From checkout to action in under 90 seconds.

01 · Ingest

POS writes to Lakebase
Legacy systems continue via JDBC/psql — no rewrites, no migrations.

02 · Sync

Native CDC in <60s
Lakebase propagates every transaction to Delta tables without Kafka or Debezium.

03 · Govern

Unity Catalog Metric Views
A single semantic layer defines stockout rate, gross margin, turnover — one version of truth for every team.

04 · Act

Agent Bricks responds
Agents calculate orders, draft markdowns, and notify managers before the shelf empties.

The full cycle — from POS transaction to agent-generated purchase order — completes in under 90 seconds, without manual intervention.

SPECIALIST AGENTS
Three experts. One supervisor. Zero manual triage.

Retail Pulse runs three AI agents orchestrated by a central supervisor, using Claude via Databricks Model Serving and Unity Catalog functions as tools. Each agent writes its reasoning in plain language before any action is taken.

Alert Agent

Monitors inventory velocity 24/7. Fires push notifications to store managers when a SKU is projected to run out within hours — with the replenishment draft already prepared.

Markdown Agent

Detects perishables near expiry or overstock scenarios. Runs elasticity analysis and suggests a discount that clears the batch while keeping gross margin positive

Markdown Agent

Detects perishables near expiry or overstock scenarios. Runs elasticity analysis and suggests a discount that clears the batch while keeping gross margin positive

Use cases by industry

Built for retail and CPG — ready for your vertical

Grocery & Supermarkets: Real-time shelf monitoring and perishables markdown automation to eliminate waste and reduce stockouts.:

Fashion & Apparel: Sell-through tracking and end-of-season markdown management across hundreds of SKUs and locations.

CPG Manufacturers: OTIF monitoring, supplier SLA auditing, and demand signal synchronization from retailer POS data.

Pharmacy & Health: Critical SKU availability monitoring with compliance-grade audit trails for every automated action.

Wholesale & Distribution: Inventory turnover optimization and predictive reordering across multi-warehouse networks.

Quick Service Restaurants: Ingredient-level depletion forecasting and supplier order automation tied to real-time sales velocity.

IMPACT:
Three pillars of transformation

Speed
Decision latency drops from up to 24 hours to under 60 seconds. Any manager gets answers and proposed actions in real time.

Governance
Every agent decision is logged by MLflow Tracing and explained in natural language. Full lineage from checkout to action — audit-ready by design.

Simplicity
OLTP, OLAP, AI, and autonomous monitoring on a single Databricks subscription. No Kafka, no Debezium, no overnight ETL, no extra vendors.

ACCESS

Built natively on Databricks

GENIE doesn't just answer questions — it transforms how your organization relates to data.



Lakebase (PostgreSQL)
Agent Bricks
Genie Space (NL)
MLflow Tracing
Unity Catalog
Model Serving (Claude)

CONTACT US

Ready to see Retail Pulse in action?
Schedule a live demo and discover how Databricks Lakebase and Agent Bricks can transform your store operations — from reports to reflexes.

Daniel Viveiros

SVP, Data & AI

LinkedIn

Ricardo Siebenrok Odorczyk

Growth & Partnerships Senior Manager

LinkedIn