Is this a BI tool replacement or an operating analytics layer?

It is an operating analytics layer for multi-location teams. marql focuses on revenue, margin, plan attainment, ranking and store diagnostics that operators need every week. Teams can still export data, but the core review logic already lives in the product.

Can we compare current performance against prior periods?

Yes. The live module supports no comparison, previous period, last year and last quarter, plus quick presets like 7D, 30D, 90D, YTD and quarter views.

Do you support same-store or like-for-like growth analysis?

Yes. The analytics layer is designed for same-store growth reading, so management can separate network expansion from underlying store performance.

Can teams export the ranking table?

Yes. The live module includes export for store-level ranking tables, while keeping the main comparison and review flow inside the product.

How does Analytics connect to P&L and AI Copilot?

Analytics explains where the network is drifting. P&L shows whether that movement translates into profit pressure, and AI Copilot reads the same metrics so teams can ask follow-up questions in plain language and jump into the right screen.

Analytics

See how revenue and margin move before the review meeting starts.

marql turns daily trade data into a comparison-ready analytics surface for every location: revenue trends, margin movement, plan versus actual, same-store growth, payment mix and store ranking without exporting to spreadsheets first.

Book an analytics walkthrough See AI Copilot

Demo workspace

BrewCo Europe Demo

Compare modes

Prev period / YoY / QoQ

Planning model

Plan vs actual live

Store scope

8 locations

BrewCo Europe Demo

Analytics

vs Last yearYTDRevenue

RevenueMargin & LossesRankingP&LForecast

Period comparison

Revenue vs previous period

Aug

Sep

Oct

Nov

Dec

Jan

This periodPrev period

+14.3% vs prev period - Margin 64.2%

Revenue for period

lei 2.89M

272.5% of plan

Target

lei 1.06M

Plan loaded in the module

Transactions

68,415

Across all stores

Avg Items / Check

2.53

Transaction quality signal

Payment Mix

Total lei 2.89M

Cash

22.4%

Card

62.1%

Online

15.5%

Cash

lei 647.3k

Card

lei 1.79M

Online

lei 448.1k

Inside the Analytics module

A dedicated screen for trend reading, comparison and management review.

The public page mirrors the live account structure: compare modes, time presets, revenue and margin lenses, payment mix, ranking table and AI context tied to the rest of operations.

Compare modes and presets

Switch between no compare, previous period, last year and last quarter with fast date presets like 7D, 30D, 90D, YTD and quarter views.

Prev period - YoY - QoQ

Trend reading

Revenue and margin movement are read as trends, not static totals, so management can see whether the network is accelerating or drifting.

Revenue - margin - LFL

Transaction quality and payment mix

Beyond topline revenue, the screen shows payment mix, transactions and average basket quality to explain how sales composition is changing.

Cash - card - online

Store ranking and export

Store-level ranking combines revenue, plan, transactions and average check in one export-ready table for weekly review.

Store - plan - avg check

Floreasca

Revenue: lei 525.6k
Plan: lei 149.9k
vs Plan: 120%
Tx: 13,072
Avg check: lei 40.21

Unirii

Revenue: lei 514.1k
Plan: lei 0.00
vs Plan: 0%
Tx: 12,932
Avg check: lei 39.75

Cluj-Napoca - Centru

Revenue: lei 454.2k
Plan: lei 266.4k
vs Plan: 120%
Tx: 10,094
Avg check: lei 45.00

Timisoara - Unirii

Revenue: lei 407.4k
Plan: lei 235.1k
vs Plan: 120%
Tx: 8,986
Avg check: lei 45.34

Iasi - Palat

Revenue: lei 342.7k
Plan: lei 205.7k
vs Plan: 120%
Tx: 7,969
Avg check: lei 43.01

Constanta - Tomis

Revenue: lei 289.5k
Plan: lei 180.0k
vs Plan: 120%
Tx: 6,457
Avg check: lei 44.83

StoreRevenuePlanvs PlanTxAvg Check

Floreascalei 525.6klei 149.9k120%13,072lei 40.21

Uniriilei 514.1klei 0.000%12,932lei 39.75

Cluj-Napoca - Centrulei 454.2klei 266.4k120%10,094lei 45.00

Timisoara - Uniriilei 407.4klei 235.1k120%8,986lei 45.34

Iasi - Palatlei 342.7klei 205.7k120%7,969lei 43.01

Constanta - Tomislei 289.5klei 180.0k120%6,457lei 44.83

Export XLSX exists in the live module for weekly review packs.Show all 8 stores in product

Review workflow

From homepage signal to store-by-store performance diagnosis.

The homepage Analytics card gives a fast trend cue. The full page shows how operators compare periods, benchmark stores, read transaction quality and move into the right follow-up module.

Start from the homepage Analytics card

The card signals whether revenue and margin are improving versus the previous period before anyone opens a heavier report.

Pick the comparison frame

Management selects previous period, last year or last quarter depending on the review moment and then narrows the time preset.

Benchmark stores against plan

The ranking table shows who is actually driving the network result, which stores are ahead of plan and where transaction quality is slipping.

Move into the follow-up screen

From the trend surface, teams move into P&L, Products, Loyalty or AI Copilot depending on whether the issue is margin, assortment, retention or explanation.

Review lenses

The questions teams answer without leaving the module.

Compare frame, time preset and lens switch together so weekly reviews stay inside one operating screen.

No comparePrev periodvs Last yearvs Last quarter7D30D90DYTDQ2

Revenue

Read topline movement, target attainment and transaction count without leaving the analytics surface.

Margin & Losses

Inspect where commercial performance is being compressed before finance closes the month.

Ranking

Benchmark stores against each other and isolate outperformers versus stores that need attention.

P&L

Jump from trend reading into profitability when the question changes from growth to margin quality.

Forecast

Estimate where the current run-rate points before the end of the reporting period.

Connected context

Analytics is the review layer between daily trade and operating action.

Teams start in Dashboard or Today, use Analytics to understand structural movement, then move into P&L, Products, Loyalty or AI Copilot to explain and act on the change.

Questions leadership and finance teams ask before evaluating the module.

Next step

Review trend, margin and store ranking on your own data.

We connect a sample of your POS and planning data, then show your first analytics review surface with your own locations, targets and comparison periods.

Book a 20-min walkthrough Open P&L page