Retail & inventory
“How much should I order next month?”
Combine sales, stock, returns, procurement and supplier lead times into a reusable planning foundation.
POSInventoryERPSuppliers
Live with an early customer
Your Data Engineer
as a Service.
Tell Avrena what you need in business language. It connects your systems, prepares messy data, builds and maintains the pipelines and semantic layer, and delivers reliable answers — without requiring an internal data engineering team.
Natural languagebusiness request in, data product out
No data engineer requiredAvrena builds in the background
Always improvingpipelines + semantics stay and evolve
BUSINESS QUESTION
How much inventory should I order for next season?
◎
UNDERSTANDBusiness intent
Ready↗
CONNECTSales + Inventory
4 sources⌘
BUILDData foundation
Updated✦
ANALYZEDemand model
RunningBUSINESS ANSWERHigh confidence
Order 380–430 units
Based on sales history, stock movement, returns and supplier lead time.
TRUSTED BY
Helping data-intensive teams move from fragmented systems to reliable decisions.
Push30
Bozbect
YAZAKI
Arter
Snoonu
PASHA Holding
Northstar Retail
Cedar Commerce
Atlas Supply Co.
Harbor Analytics
THE PROBLEM
Most companies need data engineering before they can use their own data.
Your data already exists across ERP, CRM, POS, payments, spreadsheets and operational databases. Avrena takes over the engineering work required to connect, prepare, model and keep that data usable.
TodayInfrastructure first
Business question→Analyst→Data engineer→ETL→Warehouse→Semantic model→Answer
Days or weeks of coordination before the decision is ready.
With AvrenaData Engineer as a Service
Business question
→
AvrenaBuilds what is missing
→
Answer
Avrena acts as the data engineer in the background: connecting, transforming, modeling and maintaining the data needed by the business.
HOW IT WORKS
Business intent becomes production-ready data infrastructure.
Avrena reasons about the question first, then builds only the data foundation required to answer it — reusing everything that already exists.
01
Ask
Describe the business decision in plain language.
02
Discover
Identify required entities, metrics, sources and missing data.
03
Build
Create connectors, transformations, checks and reusable models.
04
Answer
Return explainable analytics, forecasts or recommendations.
WHAT AVRENA BUILDS IN THE BACKGROUND
A data foundation your company keeps.
Unlike one-off AI analysis, the infrastructure created for each question remains available for the next one.
01Source connectorsERP · CRM · POS · APIs
02Lakehouse layerClean, reusable company data
03Semantic layerMetrics, entities and business definitions
04Data qualityValidation, lineage and freshness
05Analytical modelsReusable logic for future questions
06GovernanceRole-aware access and policies
THE COMPOUNDING ADVANTAGE
Your data platform gets better every time someone asks a question.
The first request may create a sales model. The next adds inventory. The next adds suppliers. Avrena reuses and expands the same foundation instead of starting from zero.
- Existing pipelines are reused
- Business definitions accumulate
- New sources are connected only when needed
- Answers become faster and more contextual
Question 1
Initial foundation
Question 10
Connected context
Question 100
Company data memory
SalesInventorySuppliersCustomersFinanceSemantic
foundation
foundation
USE CASES
Start with the decisions that matter most.
Avrena is designed for questions that require data from more than one system and would normally create work for analysts or engineers.
Revenue & margin
“Where are we losing margin?”
Join orders, refunds, costs and commercial data across systems.
Customer intelligence
“Which customers are likely to churn?”
Build a persistent customer view from product, CRM and billing data.
Operations
“Why did performance drop?”
Trace operational changes across teams, systems and time periods.
FOR THE CFO, COO & BUSINESS TEAMS
Move from rebuilding numbers to acting on them.
TODAY
Recurring reports depend on exports, spreadsheets and manual engineering work. Every new question creates another handoff.
WITH AVRENA
The data foundation keeps running in the background. Teams drill into trusted numbers, ask the next question and reuse what Avrena already built.
90%
of recurring reporting automated
Turn reporting workflows that depend on exports and spreadsheets into reusable, continuously updated data products.
REPORTING AUTOMATION€450k
margin risk surfaced earlier
Bring forecast-versus-actual deviations together with their financial impact, owner and underlying drivers.
MARGIN & FORECAST VISIBILITY€20M
working capital made visible
Unify inventory, receivables and payables into a rolling operational view instead of a closing-date snapshot.
WORKING CAPITAL & LIQUIDITYIllustrative ROI scenario for positioning only — replace with verified Avrena customer results before publishing as a customer claim.
WHAT WE ARE — AND AREN'T
Not another warehouse. Not another dashboard.
Avrena sits between business intent and the data stack. It can work with your existing infrastructure or start lightweight where enterprise platforms would be overkill.
✕ Dashboard factory✕ Text-to-SQL wrapper✕ One-off AI analysis
Business usersQuestions & decisions
↓
AvrenaIntent · engineering · semantics · analytics
↓
Existing stackorLightweight foundation
PostgresS3APIsWarehouseERPCRM
“The goal is simple: let the business start with the question, while the system builds the data work in the background.”
1early customer
Persistentdata foundation
Business-firstworkflow
Customer name and measured outcomes can be added once approved for public use.
SECURITY & GOVERNANCE
Built for company data, not public prompts.
Business questions can touch sensitive operational data. Avrena is designed around controlled access, auditable data flows and deployment flexibility.
01Role-aware access
Use business roles and data policies to control what each user can access.
02Traceable answers
Keep lineage from the answer back to the underlying data and transformations.
03Deployment control
Run with customer-controlled infrastructure where data residency and governance matter.
START WITH ONE REAL QUESTION
Show us the question your team keeps waiting on.
We’ll map the data required, show how Avrena would build the missing foundation, and define a focused first pilot.