Pixels and Clicks · AI Forecasting Feasibility Report SAMPLE — ILLUSTRATIVE DATA
SAMPLE — ILLUSTRATIVE DATA

AI Forecasting Feasibility Report

A vendor-agnostic readiness score across SKU history, master-data hygiene, and promo-flag structure — with an honest build/fix/don't-buy verdict.

Prepared For
A Mid-Market Beverage Co. [illustrative]
Engagement ID
PC-FCS-0308
Platforms Evaluated
Netstock, o9
Date
July 2026
Scope
SKU history & master-data audit, ~2 weeks, read-only export
Scan Fee
$3,000
01 — The Verdict

FIX DATA FIRST

Overall Readiness Score
2.4 / 4
SKU history depth3.5 · strong
Master-data hygiene1.5 · weak
Promo-flag structure1.0 · not usable

Three years of clean SKU history exists — the strongest input a forecasting platform needs. But promo events aren't flagged in a structured field anywhere in the data; every platform demo assumed they would be. Buying now means re-doing this cleanup mid-implementation, at platform-vendor rates.

02 — Readiness Scorecard

Eight dimensions, scored

DimensionScoreFinding
SKU history depth3.536 months clean, minimal gaps
UOM consistency2.5Case/each mismatches in ~8% of SKUs
SKU hierarchy3.0Category tagging complete, brand tier partial
Promo-flag structure1.0No structured field; promos inferred from free-text notes
Master-data hygiene1.5Duplicate SKU codes across two legacy systems
Event tagging (weather, holidays)2.0Holiday calendar exists, no weather overlay
New-item onboarding process3.0Defined process, inconsistently followed
Forecast override audit trail2.0Overrides tracked in email, not logged in system
03 — Platform Fit

Against the vendors you're evaluating

PlatformData RequirementYou TodayGap
NetstockStructured promo flags requiredFree-text onlyBuild promo-flag field first
o9Unified SKU master requiredTwo legacy SKU systemsDe-duplicate SKU master first
Platform data requirements verified against each vendor's published implementation guide as of July 2026.
04 — Mitigation Checklist

Close the gaps before you sign

05 — What We'd Do Next

If you want us to close the gaps

100% of this $3,000 scan fee credits toward a data-cleanup engagement within 60 days — or simply hand this report to whichever vendor you choose; it doubles as your RFP input.

[ founder photo ]

Bhaskar Sarma

Founder, Pixels and Clicks · linkedin.com/company/pixels-and-clicks

Happy to walk through the scorecard on a call, including why we'd tell you to wait on this purchase.

6-min video walkthrough of this report → [short link + QR — HUMAN to add]