IDCO SUPPLIER SUMMIT 2026 - WORKSHOP SAMPLE DATA (v2)
Everyone Builds: A Working AI Session  |  Nick Pericle, Tenexity  |  idco.tenexity.ai

Sierra Hose & Rubber Supply is a fictional industrial hose, fittings, and gasket distributor with three branches (Reno, Sacramento,
Boise), 40 customers, about 191 SKUs, and two years of history. Every name, company, price, and number is invented.
Nothing here is confidential, so it is safe to paste into Claude or any AI tool.

The files relate to each other the way a real ERP export would: customer_id, sku, order_no, quote_no, po_no.
Attach one file for a quick answer. Attach three or four and ask a question that crosses them; that is where it gets interesting.

CORE FILES (the four workshop use cases)
  price_list.csv                   191 SKUs: cost, list, vendor, lead time, pressure/temp specs, status
  rfq_emails.txt                   Three messy customer RFQs                                   Use case 1
  sales_history.csv                12 months by customer / category / rep with cost and margin Use case 2
  account_snapshot.txt             One customer's ERP snapshot                                 Use case 3
  customer_complaint_email.txt     An angry customer email                                     Use case 4
  vendor_price_increase_letter.txt A vendor price increase notice with a tariff surcharge      Use case 4

THE WHOLE DISTRIBUTOR (the Analysis Lab)
  customers.csv                    40 customers: segment, branch, rep, price level, terms, credit limit, notes
  price_levels.csv                 What each price level means (discount off list)
  margin_floors.csv                Minimum margin by category and who can approve below it
  cost_history.csv                 Every cost change with an effective date and reason
  sales_order_lines.csv            14489 order lines over 24 months: date, ship date, source, price, cost, discount, late flag
  quotes.csv                       172 quotes: amount, margin, hours to respond, follow-up, won/lost/expired, reason
  inventory_on_hand.csv            Branch x SKU: on hand, min/max, on order, last receipt, last sale, 12-month usage
  purchase_orders.csv              PO lines, Jun-Aug 2026
  receipts.csv                     What actually arrived
  vendor_invoices.csv              What the vendor billed (with some surprises)
  ar_aging.csv                     Who owes what, by bucket, with credit limits and payment behavior
  vendor_programs.csv              Rebate tiers and rules by vendor
  purchases_by_vendor_month.csv    Purchases by vendor by month, 24 months
  assembly_test_log.csv            340 hose assemblies built and pressure tested: tech, die, crimp diameter, result
  branch_pnl.csv                   Branch P&L by month, 12 months
  catalog_cross_reference.csv      Hose specs and competitor part numbers
  remnant_inventory.csv            Remnant hose lengths by branch
  open_requirements.csv            Cut lengths needed for open quotes
  customer_emails.txt              A week of inbox: 12 untriaged customer messages
  voicemails.txt                   Three counter voicemails
  vendor_notices.txt               Discontinuation, allocation, and rebate statements

THINGS PLANTED IN THE DATA (spoilers; read after you've tried)
  The list is long. It's in the "Data pack" page at idco.tenexity.ai behind a "show me the answers" toggle.
  Short version: a vendor cost increase nobody passed through, a rep discounting off policy, a customer who left
  after a slow quote and wants back, an account over its credit limit still getting shipments, dead stock at
  one branch and a stockout of the same item at another, eight vendor invoice exceptions, a rebate tier within
  reach, a crimp die running out of spec, and a week of email that needs triage.
