Fullkit / Apps / Spend

Spend

Where is the money going, and where is it leaking?

Spend reads your purchase order history and shows who gets your money, how concentrated it is, and where you're paying more than you already know you could.

fullkit · spendUSD
Spend, 12 months
$21.1M1,106 POs · 28 suppliers
Paid above lowest
$598kon parts bought at more than one price
Spend by month
NDJFMAMJJASO
Largest suppliers 11 make up 80%
Kilbride Electric18%
Hatherleigh15.4%
Upland Electrical8.7%
Harrow Lubricants8.5%
Vantage Seal6.8%
What it shows

Answers, then actions.

Quarterly, and before any tender or price negotiation.

Spend by every angle

Supplier, category, month and buyer, with the running share of the total.

Price variance

Parts bought at more than one price. What the same quantities would have cost at the lowest price you've already paid.

Fragmented categories

Categories split across three or more suppliers with no clear leader: the first place to consolidate.

Tail suppliers and small orders

Suppliers that each get under half a percent of spend, and POs too small to be worth raising.

Off-contract spend

Spend with no contract or agreement reference, when your exports carry one.

Any currency

Lines in other currencies converted at your rates; Gulf currencies pegged to the dollar are filled in for you.

What you load, what you get

Your reports in. A worklist out.

Excel or CSV straight from your system. Fullkit matches the columns and shows you sample values before it runs.

You load

  • Purchase order lines with prices, dates and suppliers
  • Category, buyer and contract columns (optional)
  • Item master with categories (optional)

SAP: ME2M with net price, material group, purchasing group, outline agreement
Odoo: Purchase order lines with unit price, currency and category
Oracle: PO lines with category and agreement
Any Excel purchase history

You get

  • Spend by supplier, category, month and buyer
  • 80% concentration
  • Price variance by part
  • Consolidation candidates
  • Excel export
Start here

Send us your column headers.

Not your data. Just the column names from your exports. We'll come back with the mapping and a short written proposal, all by email.

hello@fullkithq.com Try the demo