Data is not trusted, decisions come late
Two different figures circulate for the same revenue; margin erosion and campaign drift show up at month-end. Meetings go into finding the right figure instead of deciding.
Mind Ops · Store Operations
What happened in the branch today, and who acts on it
Are the stores ready to sell? Did the campaigns run? How profitable is each store? Every situation gets an interpretation, a suggested action and follow-up.
What Is Mind Ops?
Mind Ops is the module that brings branch performance and auditing for grocery chains onto a single screen: revenue, conversion, basket size and checklist results all come from the same data model, and every item raised is assigned to an owner and escalated if it is not closed.
Where Operations Gets Stuck
Actions are not followed up
Nobody knows who an open item sits with or when it was closed. The same mistake repeats every month and you pay for it every month.
What is the store P&L
Store revenue is visible, but what the store earns after rent, staff and other expenses waits for the month-end close. A loss-making store is noticed late.
What Will You Gain?
A gain in operational efficiency shows up first in revenue and then in gross profit. Enter your own revenue and margin.
Enter your own figures and the calculation updates as you type.
3.1× its cost · pays for itself within 4 months
Your annual gain420,000 ₺assuming a one per cent gain in operational efficiency
Annual cost of the product131,988 ₺smallest tier · monthly price × 12
After the cost is deducted288,012 ₺gain − product cost
Why Mind Ops?
- 01
One number, one definition
Metrics such as revenue, conversion and basket are defined once. Data from every source connects to the same model.
- 02
Actions are followed up
AI detects the action, it is assigned to its owner as a task, and the follow-up runs its course.
- 03
Audit, sales and camera side by side
A checklist item, a POS movement and a camera event are not hunted across separate systems; they sit matched on the same screen.
What Mind Ops Does
Audits and checklists
Store audits are completed in the field and the operational health score is produced daily. The result is read alongside sales data.
Automated actions
The system proposes an action and the actions taken are tracked through to closure.
Analysis and AI layer
All KPI calculations run in the data layer. The AI interprets the result and puts it in priority order.
Reports ready out of the box
The standard grocery retail analyses are already built. Trend, like-for-like and returns sit on one screen.
Costs under control
Store-level expenses are monitored and anomalies are flagged rather than found at month end.
Stock movements
Inbound and outbound movements are analysed daily and stock is followed as it changes.
Camera event tracking
Events at the till, the entrance and the shelf are recorded with a timestamp. Each event is linked to the related sales record.
Footfall and density
Visitor count, density map and queue time are derived from the video feed. Conversion is calculated against that figure.
Camera anomaly alerts
Unusual movement and till events with no matching transaction raise an alert that reaches an owner together with the recording.
What You Gain
Immediate action without waiting for month-end
Margin erosion and campaign drift show up the day they happen, so the loss can be stopped rather than reported.
Actions followed until they close
Every item raised has an owner, a duration and an outcome on record; it is followed until it closes, so the same mistake is not paid for every month.
Live P&L by store
Revenue, cost and store expenses sit in one model; each store's profit and loss is visible without waiting for the month-end close.
Daily branch scorecard
Revenue, conversion, basket and checklist status on a single page. The branch manager does not open several reports each morning.
Who It Is For
For Grocery Chains
The daily store scorecard, promotion scorecard and POS reconciliation come from the same data.
Pricing
For how many branches and users?
Included in the package
- Overview
- Checklist
- Feedback
- Action Centre
- Analytics
- Target Management
- Expense Management
- Store Reconciliation
The figure is a starting point for a conversation, not a final price. Scope is settled in that conversation; prices exclude VAT.
See Mind Ops working with your own data.
Common Questions
What data does Mind Ops run on?
POS transaction records, ERP sales and return invoices, campaign definitions, store checklist entries and, where they exist, store camera feeds. These sources are merged into a single data model, so metrics like revenue and conversion are calculated once against a shared definition rather than separately per source.
How are differences between POS and ERP found?
Reconciliation runs in the data layer: rows from the two sources are matched and anything unmatched is listed with a reason code and the value difference. The gap becomes visible on the day it occurs instead of at month end.
What is extracted from the store cameras?
Event type, area and timestamp are extracted and matched to the sales record for the same time window. The aim is not to archive footage but to make what happened at the till and on the shop floor readable alongside sales data.