Product

One system. Three pillars of profit.

r-daniel continuously cross-references your customer, price, and inventory data to surface discoveries — then ranks them by impact, so your team always knows what to look at first.

Pillar 01 — Customer Growth IQ

Know which customers to protect, and which to grow.

The customer you're about to lose is telling you right now.

r-daniel learns from every customer you've lost to catch churn risk early in the accounts you still have — then reads each customer's health to recommend the next best move: a cross-sell, a basket expansion, or a price adjustment that grows the relationship without testing its patience. The same discovery lens extends beyond the customer file too — to sellers, products, regions, and product lines — because every one of those levers ultimately moves the same number: sales.

Behavioral signals, not tickets

Reads patterns in returns, ordering, and buying behavior a CRM was never built to flag.

Churn before it's visible

Catches an account quietly slipping away — including when your own price or ops call is the cause.

Every account, every night

Re-checks customer health continuously, not just at renewal time.

No CRM overhaul

Runs on your existing data automatically, with nothing new to implement.

Account 4471Churn signal detected
At risk
Account 3350Renewal risk rising
At risk
Account 2098Cross-sell opportunity
Grow
Account 1187Basket expansion ready
Grow

Illustrative concept — not an actual product screenshot

Proven Result $600K/yr
Case study — Multinational textile manufacturer

An unusual returns pattern across a subset of customers looked like a demand issue. r-daniel traced it back to a supplier quality problem nobody had connected to the returns data. Fixing it recovered $600K/year — a 1,000% ROI in two months.

Pillar 02 — Price Decision IQ

Know when to raise, hold, or cut — before your P&L tells you.

Raise the price. Keep the customer.

Most pricing tools tell you the obvious: cut price on what isn't selling. r-daniel looks deeper — at cross-elasticity, timing, and channel behavior — to find moves a pricing team would never think to try.

Beyond the obvious

Skips the easy rule-of-thumb move and finds the price the situation actually supports — even when that means raising, not cutting.

Sees the ripple effects

Weighs how a price change plays out across the customer relationship, margin, and inventory — before you make it.

Every SKU, every night

Rechecks pricing across your full catalog every night — not on next quarter's review cycle.

No pricing team required

Runs on its own. No analysts, no models to build, no new headcount.

12SKUs flagged this week
LowElasticity — raise candidate
+9.1%

Illustrative concept — not an actual product screenshot

Proven Result $45K/mo
Case study — F&B distributor

A slow-moving SKU looked like a candidate for a discount. r-daniel's cross-elasticity analysis found the opposite: demand was inelastic in that channel. A counterintuitive 9.1% price increase added $45K/month in margin — with no volume loss.

Pillar 03 — Inventory Precision IQ

Know what to reorder, before it costs you a sale.

The cash you're looking for isn't in the bank. It's on your shelves.

r-daniel reads your inventory position continuously — flagging slow-moving and frozen stock that's tying up cash, and calculating stock-out risk from expected demand against the days of inventory you actually have left, so restock urgency shows up before a demand shift makes it critical. Then it tells you what to do about it: what to reorder, how much, and when — cross-referencing customer and price signals for a sharper call. The goal isn't logistics, it's capital: free up what's tied up in the wrong stock, without ever risking a sale.

Misallocation, not just stockouts

Finds inventory assigned to the wrong customer or reseller, not only when a shelf runs empty.

Trapped capital, freed

Finds slow-moving products or harmful purchasing frequencies that quietly hold back cash and sales — and shows what should be done.

Every location, every night

Re-evaluates inventory position across the full network automatically.

No inventory team required

Runs on its own — no planners or manual allocation reviews.

$340KTied up in slow-moving stock
6SKUs at stock-out risk
SKU 104218 days of stock left, demand rising
Reorder now
SKU 3390Frozen 90+ days
Review
SKU 2207Reorder 240 units by Friday
Scheduled
SKU 551845 days on hand
Healthy

Illustrative concept — not an actual product screenshot

Proven Result $1.5M
Case study — Global footwear-brand distributor, 25 countries

Slow-moving stock in some accounts and stock-out risk in others never showed up in the same report. r-daniel's reorder recommendations corrected both — recovering $1.5M in weeks.

How r-daniel reaches you

One intelligence. Four ways to receive it.

Every discovery, prediction, and recommendation r-daniel makes — across Customer Growth IQ, Price Decision IQ, and Inventory Precision IQ — reaches your team through four channels. Use one on its own, combine a few, or turn on all four. Dani Assistant, Ask Dani, and the Dani App serve executives and operators alike; the Intelligence Hub goes further, built for analysts.

Nothing is exclusive to one surface. Every channel draws on the same underlying discoveries — so wherever your team meets r-daniel, they get the same answer. Turn on one, a few, or all four — no extra hardware, no extra team.

Runs on what you already have

No new systems to stand up

r-daniel connects to the sales, pricing, returns, and inventory data your business already generates. It's built to run continuously and autonomously — no data scientists, demand planners, or AI specialists required to operate it. It discovers and recommends; your team decides and acts.

See your first discoveries in 4 weeks.

Book a trial and find out what your business doesn't know to look for.

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