Your data knows where
your revenue is going.You just haven't been shown.
AI-native account intelligence for B2B manufacturers and distributors. Declining accounts, margin erosion, cross-sell gaps, expansion signals — all from order data you already own.
Your accounts are already
sending signals.
You are not receiving them.
Revenue decline, margin erosion, and cross-sell gaps don't announce themselves. Accounts in slow decline still place orders. Accounts shifting to lower-margin products still show up as active. Accounts with significant whitespace opportunity look identical to fully penetrated ones.
The patterns that reveal all of this are in your order history. But raw transaction data has never been organized into something a sales team can act on — so the signals go unread, and the revenue quietly moves.
Seven capabilities. All from order data you already own.
No CRM. No new data to collect. No data science team. Every insight below comes from your existing order history — organized into intelligence your team can act on.
| What it finds | Why it matters | Value at stake | Included |
|---|---|---|---|
| Revenue at riskQuantified per account | Every account scored against its own 3–5 year order history. A $500K account running at 60% of its own baseline is flagged with dollar exposure named — not a segment average. Each account measured against itself, not the herd.Reps start every period knowing exactly which accounts are exposed and by how much — before the number shows up in a financial report. | $500K–$2.5M identified and prioritized | ✓ |
| Accounts in slow declineEarlier than periodic reporting | Four revenue intelligence signals running in parallel — catching sudden pullbacks, slow persistent drift, missed order cycles, and product mix shift. An account escalates to High Risk only when two signals agree. No false alarms. No black box.An account dropping 2% per month looks like noise in any monthly revenue report. Across order cycles, Revenue Intelligence accumulates evidence of the pattern and flags it — while the account is still recoverable. For accounts with regular order cadences, this is typically 6–10 weeks earlier than periodic review discovery. | 6–10 wks earlier than periodic review — for accounts with regular order cadences | ✓ |
| Cross-sell whitespaceIn dollars, per account | Every customer mapped against your full product catalog. The gap between what they currently buy and what they could buy — quantified in dollars, ranked by customer lifetime value. Your team sees the whitespace before the conversation, not after.The median customer in B2B manufacturing touches 0.14% of available catalog. That gap is your nearest-term growth lever — requiring no new customers, no new products, no new marketing spend. | $150K–$1.2M whitespace identified | ✓ |
| Mix shift detectionBefore the P&L shows it | Accounts quietly shifting spend from high-margin to low-margin products flagged before the revenue line moves. Same total spend, different mix — invisible to every revenue report your team runs today.Mix shift typically builds for 60–90 days before it appears in a margin report. Revenue Intelligence flags it while total revenue is still flat — giving your team time to address the product conversation before the margin impact is locked in. | $30K–$160K margin erosion identified | ✓ |
| Ranked call listDelivered on your schedule | A CLV-weighted priority list delivered to every rep on a schedule your team sets. Every rep contacts the accounts most likely to need attention first — not the ones that happened to call last, or the ones the rep feels comfortable with.Manual prioritization systematically under-serves high-value accounts in early decline — they look fine until they don't. A CLV-weighted ranked list is a risk management tool: the accounts most recoverable get contacted while they still are. | High-value at-risk accounts contacted while still recoverable | ✓ |
| Expansion signalsAccounts ready to grow | Accounts showing expansion behavior — increasing order frequency, broadening product mix, compressing reorder cycles — identified before competitors notice the same pattern. The growth opportunity your reps would otherwise discover by accident months later.Expansion inside an existing account costs a fraction of acquiring a new one. Revenue Intelligence systematizes what top reps do instinctively and makes it available to the whole team. | $75K–$375K expansion opportunity identified | ✓ |
| Revenue health reportAutomated, board-ready | Net Revenue Retention calculated automatically from your order data every month. Retained, at-risk, recovered — in board-ready format, delivered to designated stakeholders automatically. No analyst request, no finance export, no manual preparation.Leadership has a current NRR figure on a consistent schedule — without anyone doing anything to produce it. | Always current. Zero analyst time. | ✓ |
Value at stake figures reflect identified opportunities — not guaranteed outcomes. What your team does with the intelligence determines what gets captured. Figures modeled on a B2B manufacturer with $50M+ revenue, 500+ accounts, 1,000+ SKUs.
Your order data in. Account intelligence out.
Three steps. The first one is the only one that requires anything from your team.
One export. One call. Done.
Your Arivue specialist joins a guided call. You configure one export from your system — whatever format it supports. It reaches Arivue automatically from that point forward. Your team never touches it again.
45 minutes · your only taskFour signals, running every day.
Four independent revenue intelligence signals analyze every account against its own order history — catching sudden pullbacks, slow drift, missed order cycles, and margin erosion. An account escalates to High Risk only when two signals agree. Explainable to any sales manager.
Updated automatically · every dayEvery rep briefed on your schedule.
On a schedule your team sets, every rep receives a prioritized account list — what's flagged, why it's flagged, and what the opportunity is worth. AI-written briefings grounded in your verified order data. No dashboard to open. No report to build.
Delivered when your team needs itFrom order patterns to action your team can take today.
The gap between data and action is where revenue leaks. Revenue Intelligence closes it — turning verified order signals into specific, confident guidance your team can act on immediately.
The accounts that need attention — ranked
A prioritized list of every rep's accounts delivered on the schedule your team sets. Which ones fired a signal, what the signal was, and what the dollar exposure is. No login, no dashboard, no guesswork about where to start the day.
What the data shows — in plain English
Click any account. A plain-English brief appears: what the order data shows, why the account was flagged, and what the opportunity is. Written by AI. Grounded in verified order data. Every figure traceable to a source row. Never a hallucinated number.
Ask anything about your accounts
Ask in plain English. "Which accounts in the Southeast are showing expansion signals this month?" "Why is Acme flagged?" Answers come from the same governed data as every dashboard metric — not an approximation, not a guess.
A performance summary that writes itself
At regular intervals — weekly, monthly, or quarterly — Revenue Intelligence generates a summary of what the data showed: signals fired, accounts recovered, revenue protected, top risks and opportunities. Data your team can use to prepare for any internal review, board conversation, or account planning session.
What changes when your order data starts working for you.
Six capabilities. All from data you already own.
Unlike SaaS churn tools that require CRM data, product usage logs, and a customer success team — Revenue Intelligence works from order history alone. If you sell products to named accounts, this was built for you.
If your system can export order data, we can read it.
No integration project. No IT involvement beyond your onboarding call. You configure one export in whatever format your system supports — it runs automatically from that point forward.
Historical data loaded once during setup via a secure upload — no credentials shared, no IT project. After that, an incremental daily export keeps everything current. Configured once, runs automatically.
Your team's only task is a single guided call.
Arivue handles the data connection, model calibration, and delivery setup. You review the outputs before go-live and confirm they reflect your business.
Guided setup call
Your Arivue specialist walks you through configuring one export from your system. You share your screen. They tell you exactly what to do.
45 minutes · your only taskData validation
Arivue receives your historical data, validates quality, and maps your fields to the detection models. You receive a summary — no action needed from your team.
Arivue only · nothing from youCalibration review
Revenue intelligence signals run on your historical data. AI narratives tuned to your sales language and product categories. You review sample outputs and confirm before anything goes live.
One review session · your sign-offFirst briefing delivered
Your team receives their first ranked account list and AI-written account briefings. From this point forward, it runs automatically on the schedule you set.
Live · runs on your scheduleWhat Revenue Intelligence is — and what it is not.
Explicit boundaries prevent misaligned expectations. Every item below is a deliberate product decision.
Your data already holds the answer.
Let's find it together.
Every conversation starts with your situation — your system, your accounts, your gaps. No pitch deck. No generic demo.
Start the Conversation