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Retail & CPG

Store and SKU numbers, current every morning

Retail decisions are made daily at store level, but the reporting usually arrives weekly from head office. Mammoth puts the same numbers in front of regional managers before they open.
Live

Gross margin %

38.2%

Revenue

$142

Cover days

28 d

Stockout risk

961

The actual problem

EPOS, inventory and supplier data arrive in different shapes, on different schedules, from systems that were never designed to agree. By the time head office has reconciled them into a weekly pack, the week it describes is already over and the decisions it should have informed were made on instinct.

What you get

The dashboards this industry runs on

Not a feature list. The specific outputs teams in your position ask for first.

Store-level margin

Every location ranked by gross margin, with the drivers broken out: basket size, discount depth, shrink and landed cost.

Inventory and stockouts

Cover days by SKU and location, flagging what will run out inside lead time and separating that from stock that hasn't moved in a quarter.

Weekly sales by region

Revenue against the same week last year, by region and store, with top and bottom movers surfaced rather than hunted for.

Why you can trust it

The engine underneath the dashboard

The output is what you came for. This is why the numbers on it hold up.

Handles the volume

Transaction-level data across every store and SKU. 1B+ rows on a single canvas, with no sampling down first.

Messy sources, resolved once

Five spellings of the same region, three date formats, supplier codes that don't match. Cleaned in a recorded pipeline that re-runs itself.

SFTP and API ingestion

Supplier drops and EPOS exports land on a schedule and flow straight through, with no one downloading attachments.

Hourly and event-driven refresh

Numbers move when the source moves, so the 6am dashboard reflects last night's trading.

Results in Retail & CPG
20 days → hours
to a usable sales picture at Starbucks
17
countries of Nielsen data harmonised into one format
$0
cost to give every store manager access

Before you ask

The questions this industry always raises

Bring these to a demo. They're the ones we expect, and we'd rather answer them early than late.

  • Can it handle transaction-level data across all our stores?
  • Will supplier files with inconsistent formats break the pipeline?
  • Can every store manager see their own numbers without buying seats?
  • How current is the dashboard when the store opens?

See it on your retail & cpg data.

Start free and connect one source, or book a demo if you'd rather we scoped it with you first. Both work.

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