One Database. Every Store.

Built for retail groups with several brands, an online store and shops in more than one city. Customers, stock, demand forecasts, suppliers and buying run on one live database, so every number finally agrees.

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Connects the tools retail already runs on.

Shopify

In Store Tills

SMS

How it works

From first step to result

Step 01
Orders come in
Online store and every shop counter
Step 02
Matched to one person
On phone, email or storefront ID
Step 03
Stock moved at the place
Riyadh sells, Riyadh stock falls
Step 04
Demand forecast
Each item, each week, eight weeks ahead
Step 05
Order drafted
Quantity, supplier and arrival date

Result
Person approves
Sent to the supplier by email or WhatsApp

Engineered for Multi Brand Retail.

USE CASE A

One Customer, One Profile

The problem

The same shopper is a Shopify record online, a phone number at the till and a name on a WhatsApp thread, so she gets the same campaign three times or not at all. Nobody can say what one customer has spent across the group, or which brand they love most.

The solution

Identity is resolved on phone, email and storefront ID, never on name, and marketing permission is held separately for each brand. Every purchase online and in store is attached to that one profile, building a full picture of how each customer shops.

The outcome

One profile per person, online and in every shop. Campaigns reach the right person once, with the right brand's permission.

USE CASE B

Stock That Adds Up

The problem

Online stock sits in Shopify and shop stock in a spreadsheet per shop, so the group total is a manual job every time anyone asks. By the time the numbers are gathered they are already out of date, and transfers between shops are a guess.

The solution

One row per item and one column per place, with weeks of cover per item flagged the moment it drops below target. Online and shop stock update in the same place, so moving stock between locations starts from real numbers.

The outcome

A group total that is right because it was never typed. Fewer stockouts in one shop while another sits on surplus.

USE CASE C

Orders Drafted, People Approve

The problem

Buyers read the stock sheet, guess a number, remember a supplier, write the email and chase it for a fortnight. Orders depend on one buyer's memory, and the reasoning is lost when they leave.

The solution

Forecast, stock and policy produce the quantity, a supplier is recommended on price, distance and track record, and the draft waits for approval. Each draft shows the forecast, the stock and the supplier reasoning behind it before anyone signs.

The outcome

Every suggestion shows its working, and a person still signs it off. Buying that is faster, consistent and easy to explain.