What I Do

Three services.
One unfair advantage.

Every engagement is built around your data, your business model, and where you want to go. Here's exactly what that looks like in practice.

01

Reporting &
Analysis

Most DTC businesses are flying blind — they have data but no clarity. I build you the intelligence layer that turns raw numbers into decisions you can act on with confidence.

Weekly Report · Wk 07
SKU Performance Dashboard
GENERATED BY
AEDAN KELLER
Dead Stock Value
$48,320
↓ 30% vs prior period
Avg Sell-Through
73.4%
↑ 8.2pp vs prior period
Cash at Risk
$12,140
3 SKUs flagged WATCH
SKU Sell-Thru Days Supply Turnover Status
WBT-001-BLK 91.2% 18 6.4× HEALTHY
CRS-204-NVY 84.7% 24 5.1× HEALTHY
PLD-089-GRY 31.4% 142 0.9× DEAD STOCK
TKR-112-WHT 58.1% 61 2.6× WATCH
WBT-003-TAN 78.9% 29 4.8× HEALTHY
CRS-301-OLV 52.3% 74 2.2× WATCH
DEAD STOCK threshold: >90 days supply · WATCH: 45–90 days · Data as of Feb 16, 2026

* Sample report — representative of actual deliverables

What's Included
Performance dashboards built around your KPIs — sell-through rate, days of supply, inventory turnover, and contribution margin by SKU
Dead stock identification — flagging inventory that's tying up cash and quantifying the exact dollar exposure
Top performer analysis — spotlighting which products are driving margin, which are dragging it, and why
Cash flow visibility — mapping how inventory decisions translate directly to working capital and cash position
Recurring reporting cadence — weekly or monthly delivery in the format that fits your team
The Outcome
You stop reacting to inventory problems after they cost you money, and start seeing them coming weeks in advance.
02

Demand
Forecasting

Gut feeling isn't a buying strategy. I build forward-looking projections from your actual sales history using statistical methods that account for seasonality, trend, and velocity shifts — so you buy with precision, not hope.

Q2 Forecast · SKU WBT-001-BLK
Demand Forecast Report
MODEL
HOLT-WINTERS
Units Sold / Projected by Week
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
Actual
Forecast
Period Actual Forecast Low High
Wk 4 (Actual)214208——
Wk 5 (Actual)241235——
Wk 6 (Actual)178190——
Wk 7 ↗ Proj.—263241285
Wk 8 ↗ Proj.—288261315
Wk 9 ↗ Proj.—251224278
90% confidence interval shown · Seasonal index applied: +18% spring uplift · MAPE 6.2%

* Sample report — representative of actual deliverables

What's Included
Historical sales analysis — decomposing your data into trend, seasonality, and noise to build a reliable demand baseline
SKU-level demand projections — forward-looking estimates by product with confidence ranges, not just point estimates
Seasonality mapping — identifying your demand peaks and troughs so you're buying ahead of volume, not scrambling during it
New product ramp models — projecting velocity curves for launches when you have limited historical data to work with
Forecast vs. actuals tracking — continuously refining accuracy as new sales data comes in each period
The Outcome
You enter every buying cycle with a data-backed view of what demand will look like — so you stop over-ordering slow SKUs and under-ordering your best sellers.
03

Inventory
Management

Knowing what demand will look like is one thing. Having a system that translates it into precise weekly buying decisions — with full visibility into risk and cash impact — is another. That's what I build and maintain for you.

Week of Feb 17, 2026
Weekly Reorder Recommendations
Total PO Value
$31,480
ORDER NOW
QUEUE
HOLD
SKU On Hand Reorder Qty Lead Time Cash Impact Action
WBT-001-BLK3824014 days+$8,640ORDER NOW
CRS-204-NVY5218021 days+$6,300ORDER NOW
WBT-003-TAN11712014 days+$4,320QUEUE
TKR-112-WHT203——$0HOLD
PLD-055-BLK2430028 days+$12,220ORDER NOW
Safety stock buffer: 14-day demand · Reorder point = avg weekly demand × lead time
3 ACTIVE ORDERS

* Sample report — representative of actual deliverables

What's Included
Buying framework design — a structured, repeatable system for making purchase decisions based on demand, lead time, and target service levels
Weekly reorder recommendations — delivered on a set cadence with the quantities, timing, and rationale for each SKU
Safety stock modeling — calculating the right buffer levels to protect against stockouts without tying up excess cash
Cash impact analysis — translating every buying decision into its working capital implications before you commit
Ongoing framework maintenance — updating assumptions as lead times, demand, and business conditions shift
The Outcome
You make informed purchasing decisions every week — with full visibility into what you're buying, why, and exactly what it means for your cash position.
How I Work

Structured. Consistent.
Built around your cadence.

Week 01
Data Onboarding

I connect to your data sources, audit your historical records, and establish the baseline used for all analysis and forecasting going forward.

Week 02–03
Framework Build

I build your dashboards, demand models, and buying framework — customized to your lead times, SKU count, and business model.

Week 04
First Deliverables

You receive your first full reporting package, demand forecast, and reorder recommendations — along with a walkthrough of the logic behind each output.

Ongoing
Weekly Cadence

Deliverables refresh on your agreed schedule. Models improve as new data comes in. I stay close to your business so the work stays relevant as you scale.

Ready to Start?

Let's build the system
your inventory deserves.