Numbers aren’t just about finance. Every night DataMine reads your sales, stock, receivables and your team’s numbers, checks every number against normal, and puts a dollar amount on what moved. Here is what that looks like.
DAILY BRIEFING
6:58 AM · MAR 14
Where the money is
Every morning around 7 AM you get one short email. It looks across the four places money sits and brings you what moved, each with a dollar amount and a next step.
Only what moved, and nothing if nothing did.
From: DataMine AI <[email protected]> · 6:58 AM
Good morning, Bluebonnet Building Supply
Yesterday's revenue
$48,113
▲ 6.2% vs the same day last week
3 things worth your attention
$47,736 aging
One rep’s open orders are aging
$41,860 at risk
Three customers are paying slower
$95,373 tied up
Dead stock sitting at North Yard
If you do one thing today
Go through the rep’s open orders. Each one is either a sale to close or a quote to let go.
Checked 8 automines.
Every night DataMine reads your files and checks every number against its normal range. Anything that moved shows up here with the figures behind it: a rep’s open orders that have sat for three weeks, three customers paying 19 days slower, $95,373 tied up in dead stock at one yard.
It reads the world your business operates in, too: tariff changes, housing starts, category headlines. Those sit right next to your own numbers.
Insights
Generate Insights3 vitals · Today: 1 grew
Dead stock sitting at North Yard
Dead stock · North Yard · grew 12%
Open orders aging under one rep
Pipeline leakage · 1 rep
Three customers paying 19 days slower
Slow payers · 3 customers
Today
Backorder rate climbed 9 points at one location
West End's backorder rate rose from 6% to 15% of open lines over 30 days.
Yesterday
Cash receipts decreased 12.4% MoM
Receipts declined from $2.31M to $2.02M, most of it at Riverton.
Freight cost per order trending up $0.38/day
7:12 PMDead stock sitting at North Yard
What we noticed
Slabs at North Yard have not moved in over 180 days.
Why it matters
That capital is parked on the floor.
Do this
Run a 30-day clearance on the 12 oldest lots this week.
Behind the number
Capital
$95,373
Units
412
Median age
214 days
Oldest
511 days
Ask about this
DataMine reads your data and picks the handful of KPIs that drive your results. A distributor gets margin by customer and inventory turns. A retailer gets margin by product line and inventory age. You get the dashboard that matches your business.
Revenue MTD
$612K
▲ 8.1% vs last month
Gross margin
38.4%
▼ 1.2 pts vs trailing avg
Labor % of revenue
27.9%
▲ 0.8 pts vs plan
Revenue — last 6 months
Key insights
Natural Stone recovered $103K (67%) from May to June, fully offsetting its earlier decline — the primary driver of the overall rebound.
Recommendations
Investigate what drove the June recovery in Natural Stone and apply it to the two categories still below their three-month averages.
When you do ask
When the brief raises a question, or you need an answer before a meeting, type it the way you'd say it out loud. DataMine already knows your data.
Every figure is computed from your own data, not written from memory. You can watch the analysis run and trace any number back to the row it came from.
Ask anything about your data in plain English.
Switch to Analyst mode and DataMine runs a real research pass over your data, dozens of queries across every file you've sent, then writes it up the way an analyst would: executive summary, methodology, numbered findings with evidence, risks and caveats, recommendations.
Print it, save it as a PDF, hand it to your bank or your partners. It reads like it took a week. It took 5 to 15 minutes.
Analyst dossier
Insights by dataminehq.com
I need to understand what happened at North Yard last month.
Executive summary
North Yard fell 38% month over month, from $270K to $167K. Almost all of the gap is one Natural Stone order placed in July by a single custom builder and not repeated in August. Underneath it, Caesarstone posted its first sales at this location, and the builder segment grew more than sevenfold off a small base.
Methodology
Compared sales by category, material and variant across July and August for North Yard, then checked inventory and transfers for the same items to separate a demand change from a fulfillment gap. Customer segments grouped by customer type.
Findings
Sales fell 38% against July.
North Yard billed $167K in August against $270K in July.
Evidence: fact_sales, North Yard, Jul vs Aug
One Natural Stone order explains most of it.
Three slab variants billed over $120K in July and under $10K in August. The buyer was a custom builder, and the order was a one-off.
Evidence: Cristallo, Cristallo Vitrum, Taj Mahal — Jul $121,400 / Aug $8,910
Caesarstone sold here for the first time.
$11,572 across the Turbine Grey variant, with no July sales in the category at this location.
Evidence: fact_sales, category Caesarstone, first non-zero month
Risks & caveats
Leaning on large one-off projects keeps monthly revenue volatile. Inventory and transfer records for Caesarstone are missing, so fulfillment for that line cannot be confirmed here.
Recommendations
Go back to the July builder about repeat work.
One conversation is the difference between a spike and a pipeline.
What it runs on
Sales, inventory and receivables. QuickBooks exports as CSV, your ERP exports to Excel, and DataMine reads both as they are. Upload them, or sync a OneDrive or Google Drive folder.
Books behind? Start with one file, or on sample data built for your business.
5 sources · ● Analysis engine active
Encrypted at restQuickBooks · sales_by_customer
QuickBooks · ar_aging
ERP export · inventory_on_hand
Excel · holds_by_location
Google Drive · Exports folder
Real analysis doesn't happen in a single question. You start with "what's my worst margin product?" and fifteen minutes later you are asking what an 8% price increase does to it. DataMine keeps the whole thread, so you can go as deep as the question demands.
Recent conversations
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2 days ago
Receivables aging by customer
2 days ago
Top Q2 sales performance
3 days ago
Insight: sales breakdown driving growth
6 days ago
Highest sales location analysis
6 days ago
All Chats
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