AI Team One Executive Decision Samples

SAMPLE REPORT — Illustrative company and figures. No live research was performed, actual agent executions: 0, MAX Not run, Guardians not run (built · integration pending). Human decisions remain required.

Sample Report 3 · Retail

Retail Store — What Should We Sell Next?

Willow & Thread Boutique (sample) · Sample results only

Client assignment

Sales have slowed for two quarters. The owner wants to know which categories to grow, which to cut and what to test for the holiday season on a $6,000 budget.

How the client assigns it to TED: The owner exports category sales and receipts, shares them with TED and asks for a reorder and holiday plan. TED confirms the export is a sample and that product discovery would be a research plan.

Executive summary

Accessories (80% sell-through, 62% margin) and gifts (90%, 58%) are working; home goods are not (30%, 48%). Shift open-to-buy toward accessories and gifts, mark down home goods, and spend the $6,000 holiday budget on three small, measured tests.

63%

Overall sell-through

1,520 of 2,400 units, illustrative

30%

Home goods sell-through

Weakest category

$6,000

Holiday test budget

Owner-set, illustrative

Key findings

  1. 1. Two categories carry the store

    Accessories and gifts sell through fast at strong margins; gifts nearly sold out, suggesting lost sales.

  2. 2. Home goods ties up cash

    350 unsold units at the lowest margin. Seasonality shows sales only in Q4.

  3. 3. Apparel is middling

    62% sell-through at 55% margin; the slowdown is concentrated in full-price apparel.

Category performance (illustrative, last two quarters)

Sell-through = units sold ÷ units received.

  • CategoryApparel

    Received
    1,000
    Sold
    620
    Sell-through
    62%
    Gross margin
    55%
  • CategoryAccessories

    Received
    600
    Sold
    480
    Sell-through
    80%
    Gross margin
    62%
  • CategoryHome goods

    Received
    500
    Sold
    150
    Sell-through
    30%
    Gross margin
    48%
  • CategoryGifts

    Received
    300
    Sold
    270
    Sell-through
    90%
    Gross margin
    58%
  • CategoryTotal

    Received
    2,400
    Sold
    1,520
    Sell-through
    63%
    Gross margin
    —

Holiday test allocation ($6,000)

Each test has a stop rule; illustrative.

  • TestExpanded gift table near entrance

    Budget
    $2,500
    Success threshold
    70% sell-through in 6 weeks
  • TestNew local-maker accessories line

    Budget
    $2,000
    Success threshold
    60% sell-through, 55%+ margin
  • TestBundled gift sets (accessory + gift)

    Budget
    $1,500
    Success threshold
    40 sets sold

Options & decision table

Assortment options

Illustrative; owner decides.

  • OptionRebalance toward accessories and gifts

    Effect
    Higher margin and turn
    Risk
    Over-reliance on two categories
  • OptionHold current mix, add promotions

    Effect
    Simple
    Risk
    Margin erosion
  • OptionExit home goods after markdown

    Effect
    Frees cash and space
    Risk
    Loses Q4 home buyers

Prioritized action plan

  • 1Mark down home goods 30% and stop reordersOwner · Now
  • 2Reorder rule: reorder when sell-through passes 70% with 4+ weeks of season leftBuyer · Ongoing
  • 3Run the three holiday tests with weekly trackingStore manager · Holiday season
  • 4Complete the product discovery research plan before the spring buyOwner · January

Success metrics

  • Overall sell-through above 70%
  • Home goods inventory below 100 units
  • Each holiday test meets or misses its threshold, recorded

SOCRATEE's Perspective

Sample text, not generated

Assumptions to test

  • Past sell-through predicts holiday demand
  • Gifts sold out because of demand, not under-buying alone

What deserves questioning

  • Is the slowdown store traffic or conversion?
  • Would home goods sell with better display?

Sources & evidence

Illustrative assumptions (not evidence)

  • All units, margins and budgets are sample data

Verified data needed before deciding

  • Point-of-sale and traffic counts
  • Vendor terms and minimums
  • Competing product discovery: a research plan reviewing public catalogs and trade show lists, cited when done; none performed here

Verified evidence attached: none. No citations are provided because no research was performed.

Safeguards

  • No pricing or advertising claim without verification
  • Owner approves every purchase

Report status · Research & Review Record

  • Actual agent executions: 0
  • MAX independent grade: Not run
  • 18 Guardians: Built · Integration Pending; no review occurred
  • Live research: None performed
  • Final decision: Always a human decision

Specialist roles (role definitions · not executed)

  • TED — Coordinator: would scope the assignment, route work and assemble the report.
  • RES — Would carry out the product discovery research plan with citations.
  • KNOLLY — Would reconcile sales, receipts and inventory counts.
  • SOCRATEE — Would question whether trends are traffic, price or product.
  • LIBBY — Would check promotion wording and pricing claims.
  • MAX — Potential independent grader. Not run; no grade exists.
  • 18 Guardians — Potential oversight layer. Built · Integration Pending; no review occurred.

How AI Team One Works — Step by Step (prewritten)

  1. Stage 1

    The assignment

    The boutique owner asks what to sell next after two slow quarters.

  2. Stage 2

    TED coordinates

    TED routes category analysis, reorder rules and a holiday test plan.

  3. Stage 3

    Specialist responsibilities

    KNOLLY reconciles sales and inventory, RES plans product discovery, SOCRATEE tests the traffic hypothesis.

  4. Stage 4

    Oversight design

    Oversight here would center on the diagnosis before the assortment: SOCRATEE would test whether the slowdown is store traffic or conversion, since the two call for different stock decisions, LIBBY would block any pricing or advertising claim that is not verified, MAX could grade the sell-through math, and the Guardians could review the test budgets. In this sample none of that ran: MAX Not run, Guardians not run (built · integration pending).

  5. Stage 5

    The executive report

    The result would look like "Retail Store — What Should We Sell Next?": findings, options, a prioritized action plan and the data still needed. Prewritten sample content; actual agent executions: 0.