# Owner Intelligence — Case Study | MRKT.ERA

Source: https://mrktr.pro/en/cases/owner-intelligence/

> Owner Intelligence case study — Food service chain · under NDA. Learn how MRKT.ERA helped achieve measurable results.

[RU](https://mrktr.pro/ru/cases/owner-intelligence/)[EN](https://mrktr.pro/en/cases/owner-intelligence/)[UA](https://mrktr.pro/uk/cases/owner-intelligence/)[RO](https://mrktr.pro/ro/cases/owner-intelligence/)

[Telegram · @mrkt\_era](https://t.me/mrkt_era)[+373 797 70 157](tel:+37379770157)[hello@mrktr.pro](mailto:hello@mrktr.pro)

[book a review](https://mrktr.pro/en/#lead)

[All cases](https://mrktr.pro/en/cases/)

Food service chain · under NDAFour Eastern European countries

# Owner Intelligence

Owner IntelligenceMulti-locationAI Systems

01

## Challenge

Sixteen locations, four jurisdictions, four unlinked systems: a separate POS per country, loyalty in a third, aggregators in a fourth, costs in spreadsheets. Answering «how did the week go» cost a day of work and arrived a week late.

02

## Solution

01

Consolidated four countries' data into one loop, with currencies normalized into a comparable picture

02

A morning digest in the messenger: yesterday, comparison against the weekday norm, best and weakest location

03

Per-location anomalies computed against the location's own weekday median, not «versus last year»

04

A twelve-module dashboard: overview, countries, channels, menu and margin, forecasts, control, fraud radar, reputation, load, loyalty, cost

05

An advisor on top of the data: a question in words, an answer with numbers, recommendations in money

06

Roles and access: the owner sees the chain, a manager sees their location

03

## Deep dive

### Why reporting was not working

Each country ran its POS as a separate, unlinked network: its own credentials, its own currency, its own set of locations. The loyalty program lived in a third system, delivery aggregators in a fourth, costs in spreadsheets.

Because of that, a simple question — «how did the week go» — turned into a project: collect exports, normalize currencies, remember where a promo ran, and still end up with a week-old picture.

At that latency, management decisions are made on instinct. A location's decline shows up in money a month later instead of as a signal the next morning.

### How the loop is built

**Overnight collection and a morning digest.** The loop pulls sales, checks, channels, loyalty and platform ratings, computes weekday medians, and by nine delivers yesterday to the owner in one message.

**Anomalies against the location's own norm.** Deviation is measured not «versus last year» but against the median of the same weekday over previous weeks — so a promo doesn't look like a problem and a quiet decline isn't lost inside overall growth.

**Layers by priority.** On top of the base layer came P&L by location, the menu plotted on demand × margin, channels with the real contracted commission rates, loyalty with RFM and cohorts, operations control and a fraud radar, and reputation.

**An advisor on top of the numbers.** A question is asked in words; the answer comes with figures broken down by location and channel, and recommendations are stated in money — what the deviation costs and what to do about it.

### What the loop surfaced

**Three real deviations on the very first run.** Not «anomalies in general», but specific locations deviating from their own weekday norm — with amounts and an hourly breakdown.

**The main lever sits in the menu.** Almost half of the chain's revenue comes from items priced below the margin norm. That is not a «remove the dish» decision but a pricing and cost decision, visible only once demand and margin are plotted on the same plane.

**A gap between loyalty and reality.** Cards with a high visit counter and zero orders in the archive are not champions — they are staff cards. While loyalty was measured by the counter, the chain was rewarding the wrong people.

**Aggregator cost in money.** Once real contracted rates replaced averaged ones, it became visible how much the chain gives away in each city — and where a channel brings turnover but not profit.

04

## Results

0+

Locations in the loop

0

Modules in one pane

0:00

Digest to the owner

0

Anomalies on first run

M

## Let's start with a review

A document with priorities and a 45-minute conversation. Then you decide: on your own, with us, or not at all.

[Message us on Telegram](https://t.me/mrkt_era)[WhatsApp](https://wa.me/971585350949)[hello@mrktr.pro](mailto:hello@mrktr.pro)

[MD+373 797 70 157](tel:+37379770157)[UA+380 93 892 81 77](tel:+380938928177)[AE+971 58 535 09 49](tel:+971585350949)