Live sample

This dashboard was a messy spreadsheet
twenty seconds ago.

Below is the real file we started with, what Dashlytics worked out on its own, and the dashboard it produced. Everything is live and interactive. Nothing was hand-written: every figure is computed from the data, and the model only writes the plain-English story around it.

1What we were given
retail_orders_2025.xlsx8,420 rows · 7 columns
Order DateProductStore NameUnitsAmount (USD)RegionPromo
01/14/2025Wireless EarbudsBest Buy12$1,788.00WestNo
2025-01-15Smart WatchTarget8$1,432.00EastYes
1/16/25Laptop StandAmazon 3P20$1,240.00CentralNo
01/17/2025USB-C HubWalmart15missingSouthNo
2025-01-18Mechanical KeyboardBest Buy6$894.00WestYes
1/19/25Webcam HDNewegg9$1,071.00EastNo
Three different date formats. Amounts stored as text. A blank cell. No pivot tables, no cleanup.
2What Dashlytics understood
Order Date→Date3 formats, parsed
Amount (USD)→Revenuecurrency detected
Store Name→Customer
Product→Product
Units→Quantity
Region→Location
Promo→Filter

Detected automatically. No mapping screens, no templates to pick. The model reads your column names and the values underneath them, then the math runs deterministically on what it found.

about 20 seconds later
3What you get

Data Readiness

We audit the data itself and score how far to trust it. This file scored 92 out of 100, and the panel tells you exactly what pulled it down.

What's working, what needs attention

The analysis reads every row and surfaces only the handful of things worth acting on, each with a suggested next step.

Take it to your meeting

Export a clean PDF or Excel, or hit Present for a full-screen, slide-by-slide version. The toolbar below is live, try it.

Retail Performance, Sample

Total Revenue

$1.24M

Click to drill down

12.5%vs last period

Orders

8,420

8.2%

Avg Order Value

147

2.1%

Customers

3,180

15.7%

Overview

Your Key Metrics.

Revenue concentrated in 3 retailers
Best Buy, Target, and Amazon 3P drive 61% of revenue. Losing any one would be a material hit.
Steady momentum into Q3
Revenue is up 12.5% with eight straight months of growth, Aug is the strongest month yet.
Average order value slipping
AOV fell 2.1% even as orders rose, smaller carts are diluting the revenue gain.

Key Metrics

By the Numbers.

3 metric breakdowns from your data

Top Items by Revenue

Top Entities by Revenue

Revenue Share by Entity

Analytics

Watch Closely.

Patterns and trends worth monitoring

Non-obvious Findings

concentration

Revenue concentrated in 3 retailers

Best Buy, Target, and Amazon 3P drive 61% of revenue. Losing any one would be a material hit.

Recommended: Diversify channel mix; grow mid-tier accounts.

trend

Steady momentum into Q3

Revenue is up 12.5% with eight straight months of growth, Aug is the strongest month yet.

Recommended: Lock in inventory ahead of Q4 demand.

aov trend

Average order value slipping

AOV fell 2.1% even as orders rose, smaller carts are diluting the revenue gain.

Recommended: Test a free-shipping threshold to lift cart size.

Trend Story

The Story in Your Numbers.

Revenue Trend

Now do it with your numbers.

Drop in any spreadsheet, messy or clean. You will have the same dashboard, the same insights, and a readiness score for your own data in under a minute.

Upload your spreadsheet

Your file is processed to build the dashboard, then deleted. It is never used to train models.