Ocean AI ERP systemOcean Seafood Company / Frozen seafood distributor in Scarborough, Toronto (GTA)
Monthly analytics

Profit, service, forecast accuracy, and stockout pressure over time.

This page is the monthly operating lens. It shows what changed, where the model should pay attention, and which month deserves deeper explanation.

35%Latest margin
89%Latest service level
302Latest stockout boxes
95%Latest forecast accuracy

Best month

2026-05 achieved the best margin at 35% and the strongest profit contribution.

Weakest month

2024-11 was the weakest month on margin, which makes it the main candidate for post-mortem analysis.

Attention targets

SKU SAL-001, customer Walmart Supercentre GTA, and vendor Dutch Delta Seafoods are the clearest training targets.

Diagnosis summary

Automated interpretation of the latest month against the trailing baseline.

One-line readout

2026-05 looks weaker mainly because inventory pressure is the dominant pressure point, while margin is 35% and service is 89%.

Latest pressure points

Revenue delta +15k, OTIF 82%, and forecast accuracy 95%.

Interpretation guide

Use the ranked causes below to decide whether the next action should be procurement, vendor escalation, customer follow-up, or pricing review.

Boss summary

Copy this directly into a weekly update, Slack message, or management deck.

Executive brief
Executive summary for 2026-05:
Revenue was $234k with a gross margin of 35%. OTIF was 82%, service level was 89%, and stockouts reached 302 boxes.

Primary risk: Inventory pressure.

Action: prioritize the top-ranked cause, compare against the trailing three-month baseline, and confirm whether procurement, vendor escalation, customer follow-up, or pricing changes are needed.

Headline

2026-05: margin 35%, OTIF 82%, service 89%.

Decision ask

Approve the operational fix for inventory pressure and confirm the owner.

Evidence to cite

Trailing three-month margin 35%, latest forecast accuracy 95%, overdue rate 2%.

Monthly diagnosis

Automatic explanation of what changed in the latest month versus the prior month.

Latest month delta

2026-05 vs prior month: revenue +15k, margin +0 pts, OTIF +0 pts, service -1 pts, stockouts +42.

Margin context

Trailing three-month average margin is 35% and service level is 90%, so the model should compare the latest month against that local baseline.

Likely causes

Latest SKU pressure: LOB-051. Latest customer risk: Loblaws GTA. Latest vendor issue: Dutch Delta Seafoods.

Root cause ranking

Sorted from strongest operational pressure to weakest.

1. Inventory pressure

Score127

Stockouts moved up and service is 89%.

2. Supplier quality

Score91

Dutch Delta Seafoods is the weakest vendor slice this month.

3. Customer churn

Score40

Loblaws GTA has the highest churn risk at 36%.

4. Cash collection

Score3

Overdue invoice rate is 2%, which can feed back into tighter credit and lower reorders.

5. Forecast drift

Score2

Forecast accuracy is 95% against a trailing margin of 35%.

Monthly revenue and stockout view

Revenue bars, stockout pressure, and service signals for each month.

2023-0635% margin
Revenue
$231k
Stockouts
316
OTIF 83%Forecast 95%Cash $64k
2023-0735% margin
Revenue
$246k
Stockouts
358
OTIF 82%Forecast 95%Cash $60k
2023-0835% margin
Revenue
$243k
Stockouts
362
OTIF 82%Forecast 95%Cash $59k
2023-0935% margin
Revenue
$234k
Stockouts
342
OTIF 82%Forecast 95%Cash $58k
2023-1034% margin
Revenue
$241k
Stockouts
338
OTIF 83%Forecast 95%Cash $58k
2023-1135% margin
Revenue
$229k
Stockouts
310
OTIF 83%Forecast 95%Cash $60k
2023-1235% margin
Revenue
$230k
Stockouts
290
OTIF 83%Forecast 95%Cash $59k
2024-0135% margin
Revenue
$226k
Stockouts
266
OTIF 83%Forecast 94%Cash $55k
2024-0234% margin
Revenue
$212k
Stockouts
238
OTIF 83%Forecast 94%Cash $55k
2024-0335% margin
Revenue
$226k
Stockouts
256
OTIF 83%Forecast 95%Cash $56k
2024-0435% margin
Revenue
$221k
Stockouts
260
OTIF 83%Forecast 95%Cash $57k
2024-0535% margin
Revenue
$235k
Stockouts
299
OTIF 83%Forecast 95%Cash $60k
2024-0635% margin
Revenue
$233k
Stockouts
320
OTIF 83%Forecast 95%Cash $62k
2024-0735% margin
Revenue
$243k
Stockouts
355
OTIF 83%Forecast 95%Cash $64k
2024-0835% margin
Revenue
$243k
Stockouts
346
OTIF 83%Forecast 95%Cash $64k
2024-0934% margin
Revenue
$233k
Stockouts
332
OTIF 83%Forecast 94%Cash $59k
2024-1034% margin
Revenue
$239k
Stockouts
339
OTIF 83%Forecast 95%Cash $57k
2024-1134% margin
Revenue
$223k
Stockouts
283
OTIF 82%Forecast 95%Cash $58k
2024-1234% margin
Revenue
$225k
Stockouts
272
OTIF 82%Forecast 95%Cash $57k
2025-0134% margin
Revenue
$225k
Stockouts
250
OTIF 83%Forecast 95%Cash $58k
2025-0235% margin
Revenue
$206k
Stockouts
216
OTIF 83%Forecast 95%Cash $60k
2025-0335% margin
Revenue
$229k
Stockouts
256
OTIF 83%Forecast 95%Cash $63k
2025-0435% margin
Revenue
$224k
Stockouts
261
OTIF 83%Forecast 95%Cash $63k
2025-0535% margin
Revenue
$238k
Stockouts
307
OTIF 84%Forecast 95%Cash $61k
2025-0635% margin
Revenue
$236k
Stockouts
322
OTIF 84%Forecast 95%Cash $63k
2025-0735% margin
Revenue
$243k
Stockouts
351
OTIF 83%Forecast 94%Cash $62k
2025-0835% margin
Revenue
$244k
Stockouts
357
OTIF 83%Forecast 95%Cash $61k
2025-0935% margin
Revenue
$234k
Stockouts
342
OTIF 83%Forecast 95%Cash $59k
2025-1035% margin
Revenue
$240k
Stockouts
342
OTIF 83%Forecast 95%Cash $59k
2025-1135% margin
Revenue
$229k
Stockouts
303
OTIF 83%Forecast 95%Cash $58k
2025-1234% margin
Revenue
$231k
Stockouts
289
OTIF 83%Forecast 95%Cash $59k
2026-0134% margin
Revenue
$226k
Stockouts
260
OTIF 83%Forecast 95%Cash $58k
2026-0234% margin
Revenue
$202k
Stockouts
223
OTIF 83%Forecast 95%Cash $54k
2026-0335% margin
Revenue
$224k
Stockouts
252
OTIF 82%Forecast 95%Cash $54k
2026-0435% margin
Revenue
$219k
Stockouts
260
OTIF 82%Forecast 95%Cash $57k
2026-0535% margin
Revenue
$234k
Stockouts
302
OTIF 82%Forecast 95%Cash $60k

Machine-readable summary

Use this as a compact explanation block for model outputs or analyst notes.

Diagnosis

The latest month should be interpreted against the trailing three-month baseline, with special attention to margin, service level, and stockout pressure rather than revenue alone.

Action priority

If stockouts rose while service fell, prioritize procurement and FEFO picking. If churn risk rose, review payment and repeat-order behavior. If supplier quality fell, tighten inbound inspection and vendor escalation.

What to feed the model

Latest month metrics, trailing three-month average, weakest SKU, riskiest customer, and weakest supplier.

Monthly operating scorecard

Use this table to compare months and spot regressions.

MonthRevenueGross profitGross marginInventory turnsAvg days to sellOverdue rateRepeat rateChurn risk customers
2023-06$231k$81k35%14.8926%73%0
2023-07$246k$86k35%15.7326%72%0
2023-08$243k$84k35%15.7726%73%0
2023-09$234k$82k35%15.1526%74%0
2023-10$241k$83k34%15.3227%75%0
2023-11$229k$79k35%14.582.17%76%0
2023-12$230k$80k35%14.692.17%73%0
2024-01$226k$78k35%14.382.28%72%0
2024-02$212k$73k34%13.442.28%73%0
2024-03$226k$78k35%14.342.21%74%0
2024-04$221k$77k35%14.142.11%75%0
2024-05$235k$82k35%14.962.12%73%0
2024-06$233k$81k35%14.9122%72%0
2024-07$243k$84k35%15.6722%73%0
2024-08$243k$85k35%15.5722%74%0
2024-09$233k$81k34%14.9723%73%0
2024-10$239k$82k34%15.3323%74%0
2024-11$223k$76k34%14.32.13%75%0
2024-12$225k$78k34%14.462.14%74%0
2025-01$225k$77k34%14.22.24%73%0
2025-02$206k$71k35%12.852.24%74%0
2025-03$229k$80k35%14.282.25%73%0
2025-04$224k$78k35%14.092.15%74%0
2025-05$238k$83k35%15.042.15%73%0
2025-06$236k$82k35%14.9725%73%0
2025-07$243k$85k35%15.6626%72%0
2025-08$244k$84k35%15.7126%73%0
2025-09$234k$81k35%15.1626%74%0
2025-10$240k$83k35%15.4126%75%0
2025-11$229k$79k35%14.522.17%74%0
2025-12$231k$79k34%14.632.17%75%0
2026-01$226k$78k34%14.322.27%72%0
2026-02$202k$70k34%12.922.28%73%0
2026-03$224k$78k35%14.272.21%74%0
2026-04$219k$76k35%14.082.11%75%0
2026-05$234k$82k35%14.992.12%74%0

What the AI should notice

Margin changes are not isolated. They move with service level, forecast error, customer retention pressure, and supplier quality.

What to investigate

Weak suppliers, stockout spikes, and overdue invoices should be cross-referenced before making procurement or pricing recommendations.

Model input priority

Use the latest month first, then compare against the trailing three months for seasonality and drift.