What does the data say?Just ask.

Nivii is the AI Agent that securely connects to your data, understands your business, and responds with the trustworthy analysis you need to take action immediately.

How much did we really grow, once you strip out inflation?

Monthly revenue, gross and net of discounts, 2024 and 2025

Consumer price index by month, 2024 and 2025

Gross margin by month and share of units sold on discount

Answer ready

Nominal growth vs. real growth

Revenue grew 19.4% year over year, but once you strip out inflation the business shrank 2.5%.

Metric20242025Change
Nominal revenue$2,480M$2,961M+19.4%
Revenue in 2024 prices$2,480M$2,417M−2.5%
Gross margin41.2%37.8%−3.4 pp
Units sold on discount28%41%+13 pp

Alert: discounting is eating the growth

The share of units sold on discount went from 28% to 41%. That jump explains almost the entire margin drop: without it, gross margin would have closed at 40.6%.

Recommendation

Stop automatic discounting in the three categories where margin fell more than 5 points without unit growth: Urban footwear, Outerwear and Accessories. Together they hold $712M of revenue and 4.2 points of the margin drop, about $101M of result. Start with Outerwear, already running at 61% of units sold on discount with last season's stock still unsold.

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Just ask.

No cleaning up the data first. No waiting for the report. No second-guessing the number.

Nivii sorts.

Before the first question, cleaning agents cross-reference your sources, resolve duplicates and pick the reliable number in each one. That work is ours, not a project of yours.

Preparing sources

  • Daily sales (point of sale)8,940 rows · 98% complete
  • Stock by store (ERP)1,240 rows · 91% complete
  • Prices and discounts (spreadsheet)612 rows · 87% complete
  • 214duplicate codes resolved
  • 37date formats normalized
  • 3definitions of “sale” unified

You ask.

In your own words, the way you would ask someone on your team.

Which products ran out of stock this week?

Nivii searches.

Across all your systems, even the ones that do not talk to each other.

Which products ran out of stock this week?

Daily stock by SKU, last 7 days

Nivii answers.

With the number and where it came from.

Which products ran out of stock this week?

Answer ready

This week's stockouts

Three SKUs were out of stock more than half the week and account for $18.4M in lost sales.

ProductDays outLost sales
Light jacket, no hood5$9.1M
White urban sneaker 404$6.2M
Black sock 3-pack4$3.1M

Act on it.

The answer arrives with the recommendation: what to do, on what, and how much money is at stake. The call happens on the same screen, not in the next meeting.

Which products ran out of stock this week?

Answer ready

This week's stockouts

Three SKUs were out of stock more than half the week and account for $18.4M in lost sales.

ProductDays outLost sales
Light jacket, no hood5$9.1M
White urban sneaker 404$6.2M
Black sock 3-pack4$3.1M
Recommendation

Restock all three before Friday: they hold 78% of the week's lost sales and all three have stock available in the central warehouse.

Enterprise

Enterprise AI is a trust decision first.

That's why Nivii runs inside your perimeter, learns what each definition means at your company, and puts your data in order before it answers. Nothing leaves your cloud, and nothing waits for the data to be perfect.

Inside your cloud

Why did sales drop this week?

Answer ready

Sales drop from a holiday and stockouts

Sales fell mainly because of the national holiday on Monday, November 18, which sharply cut that day's operation.

  • Total revenue drop: −27.2%, from $12.1M to $8.4M comparing Nov 18–20 against Nov 11–13.
  • Monday the 18th accounts for 74% of the weekly loss (−$2.7M of −$3.7M total), with sales down 55% that day.
  • Reduced operating hours: on November 18 the store opened 8 hours against the usual 12 (−33%).
  • Stockouts on 2 top products: “Sugar-Free Alfajor 9-pack” and “Sugar-Free Alfajor, loose” were out of stock all 3 days, and they rank 2nd and 5th in sales.
DayRevenueChg. vs. prior weekHours
Mon 18$2.2M−55%8
Tue 19$3.0M−17%12
Wed 20$3.2M−11%12
Daily revenue, November 11–20
Mon 11Tue 12Wed 13Mon 18Tue 19Wed 20$3.2M

Questions we've already answered.

None of these answers needed clean data to start.

Your messy data is the starting point.

Nobody has it ready. Loose spreadsheets, systems that don't talk to each other, definitions that change depending on who you ask. Nivii puts your most reliable sources to work first, so the first answer arrives in weeks instead of at the end of a data project that never ends.

12 days

The failure gave notice. Nobody listened

At an industrial plant, 17 breakdowns had flagged degradation before they broke. Between the warning and the shutdown sat 12 days of margin, written into work orders nobody cross-checked.

What the dashboard doesn't say

The alerts live in the conversation

Dashboards show the numbers. Calls tell the story: friction that hasn't turned into a complaint yet, buying signals that never reach the CRM, shifts in how the brand is perceived.

19% → −2.5%

The growth that wasn't

Revenue was growing double digits and the team was celebrating. Once inflation was stripped out, the business had shrunk.

1% → 30%

The 1% holding up the business

A handful of customers drove nearly a third of everything transacted, buried in the rest because nobody measured them differently.

+50%

Capital asleep in the warehouse

More than half the stock hadn't moved in six months. Money sitting on shelves instead of in the bank.

See Nivii answer a real question. On your own data.

Bring your data, however messy and disorganised it is. We'll show you what Nivii can do with it, and the potential it holds for your business.

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Nivii.ai - What does the data say?