marql

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.

See marql AI

Demo workspace

Sample workspace

Compare modes

Prev period / YoY / QoQ

Planning model

Plan vs actual live

Store scope

8 locations

Sample workspace

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

€2.53M

139% of the plan that is loaded

Target

€1.83M

Five of six stores have a plan loaded

Transactions

59,510

Across all stores

Avg Items / Check

2.53

Transaction quality signal

Payment Mix

Total €2.53M

Cash
22.4%
Card
62.1%
Online
15.5%

Cash

€567.5k

Card

€1.57M

Online

€392.7k

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

Why the margin moved

A change in gross margin is split into the four things that can cause it — price, cost of goods, volume and mix — and the four add back to the change exactly, with the products behind each one named. The same decomposition drives the answer when you ask the question in words.

Price - cost - volume - mix

City Center

Revenue
€525.6k
Plan
€462.0k
vs Plan
114%
Tx
13,072
Avg check
€40.21

Westside

Revenue
€514.1k
Plan
Not loaded
vs Plan
Tx
12,932
Avg check
€39.75

North Park

Revenue
€454.2k
Plan
€402.0k
vs Plan
113%
Tx
10,094
Avg check
€45.00

Harbour

Revenue
€407.4k
Plan
€371.0k
vs Plan
110%
Tx
8,986
Avg check
€45.34

Old Town

Revenue
€342.7k
Plan
€318.0k
vs Plan
108%
Tx
7,969
Avg check
€43.00

Riverside

Revenue
€289.5k
Plan
€274.0k
vs Plan
106%
Tx
6,457
Avg check
€44.84
Export XLSX exists in the live module for weekly review packs.Show all 8 stores in product

Review workflow

From question to profit.

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.

01

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.

02

Pick the comparison frame

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

03

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.

04

Move into the follow-up screen

From the trend surface, teams move into P&L, Products, Loyalty or marql AI 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.

Analytics FAQ

Questions leadership and finance teams ask before evaluating the module.

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.

That is one question, and it is answered as a decomposition rather than an opinion. The change in gross margin is split into a price effect, a cost-of-goods effect, a volume effect and a mix effect, and the four add back to the change exactly — so there is no unexplained remainder to argue about. Each effect names the products behind it, so 'costs' becomes a list of suppliers and SKUs rather than a word. Ask it in plain language and the answer comes from the same decomposition the screen shows.

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.

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

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

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

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.

Open Dashboards