One view of every customer and every shelf, online and in store

Ziro Data joins your POS, CRM, website and warehouses in one knowledge graph, so stock follows real demand and discounts go only to the customers who need them.

Targets+25% branch profitabilityFewer stockoutsTargeted discounts

Built on the same customer and stock analytics we deliver for e-commerce clients.

Where the money leaks

Retail runs on high volume and thin margins across many channels. Omnichannel blindness is the biggest leak.

1

Stockouts in branches

Profit lost when popular items run out because regional demand is not forecast and sales are not linked live to the central warehouse.

2

Forced markdowns

Leftover stock × the discount needed to clear it, caused by weak seasonal demand analysis.

3

Untargeted promotions

Repeated campaigns and discounts given to customers who are not price-sensitive.

Illustrative model

For a 20-branch chain with an online store, these three leaks add up to

at least $680,000 a year

lost without an omnichannel view.

An example from our model, not a guaranteed figure. The audit calculates yours.

How much margin are your branches leaking?

Set your branches, monthly sales and campaign discounts. The estimate shows margin lost to untargeted discounts and stock imbalance.

Estimated$0

margin leaking per month

Stock imbalance cost per month0
Check it with a 7-day audit

Illustrative estimate, not a promise. Assumes 30% of discount spend reaches customers who would buy anyway, and stock imbalance costing 0.5% of sales plus 0.05% per branch (capped at 4%).

See what we would find in your dataEvery industry audit is fixed-price, takes 7 days and ends with a prioritised plan.

Today, and with Ziro Data

What changes when your data is connected in one knowledge graph. Results marked "Target" are what we aim for with every client.

Today
With Ziro Data
Result
Website and branch data live in separate islands
A 360° customer view in the Retail Onto knowledge graph
Target: 25% higher branch profitability
Stock planned per branch from last year
Regional demand forecasts and smart transfers between branches
Target: 20% fewer stockouts
The same discount for every shopper
Personal offers only where they change behaviour
Target: 15% higher campaign margin

How it works: the Retail Onto knowledge graph

Ordinary dashboards count events. A knowledge graph connects them, so the system understands why things happen and can act on it.

Unified customerBank cards, phone number, in-store purchases and online baskets in one profile
Purchases at branch

Customer linked to the specific branch and time of purchase

Prefers category under condition

Buying patterns linked to discounts, seasons and calendar events

Triggers smart replenishment

Low stock triggers a transfer from the nearest low-demand branch or warehouse

Ask it in plain language

"Which loyal customers stopped buying in store but still browse online?"

The graph links both identities and returns a list you can target with the right offer.

Three ways to work with us

Start with a fixed-price audit. Move up only when the numbers justify it.

Start

Retail Data & Inventory Audit

7-day review of POS, CRM and web data, customer ID matching, and a stock distribution plan.

$2,000Fixed priceStart with the audit
Core

Retail Onto Intelligence System

All tills, warehouses and the website in one knowledge graph, with branch demand forecasting and customer analysis.

Setup + monthlyMonthly fee by branches or transaction volumeAsk about core
Scale

Autonomous Retail Workforce

AI agents that move stock between branches, issue personal discounts and win back in-store shoppers online.

Base + share of savingsPerformance-basedAsk about scale

Proof from real work

Results in brackets are filled in once the client approves publishing them.

Method proof, retail

Customer and campaign analytics for e-commerce and subscription brands

Problem
Customer value and campaign results sat in separate systems.
What we built
Segments, campaign measurement and stock views, the same building blocks used for omnichannel retail.
Result
[Add a retail case when available]
Read the case study

Works with the systems you already run

No new platform to buy. We connect what you have and keep everything in your accounts.

Data we connect

Stores and tills
POS systemsLoyalty clubPayment terminals
Online
WebsiteAppCRM
Supply
Central warehouseBranch stockERP

Privacy and security

  • Customer identities matched with privacy-safe keys
  • Data stays in your systems or cloud region
  • NDA signed before any access

Book a free call

Tell us what you want to solve. We reply within one business day.

Thanks. We'll reply within one business day.
30 minutes, no slides, no obligation.

Questions from retail teams

Can you match in-store and online customers?
Yes, through cards, phone numbers and loyalty IDs, using privacy-safe matching.
What does the 7-day audit cost?
A fixed fee, from $2,000, so you can see the leaks before committing.
Do we need to replace our POS?
No. We connect to the systems you have.
How is the core system priced?
A setup fee plus a monthly fee based on branches or transaction volume.