We built LTAF — Lead-Time Aware Forecasting — to give ecommerce brands the operational infrastructure they need to stop reacting and start planning.
Most ecommerce brands at the $1M-$8M stage run their supply chain on a combination of gut feel, disconnected spreadsheets, and platform dashboards that don't talk to each other.
The result is predictable: decisions based on incomplete data. Stockouts discovered too late. Reorders placed reactively. Cash tied up in slow-moving inventory while fast movers run out. The founder is the system — and the system breaks when the founder is unavailable.
This doesn't get better by hiring another VA or buying another software tool. It gets better by building an operational system designed around how ecommerce supply chains actually work — with long lead times, volatile demand, multi-channel complexity, and capital constraints.
That's what LTAF is.
Every platform you use — Amazon Seller Central, Shopify, TikTok Shop, 3PL portals, ERPs — generates data in different formats and update cycles. Layer 0 standardizes all of it into a single, structured import process.
Raw data is cleaned, deduplicated, and normalized into unified tables. Sales data from all channels speaks the same language. No more manual reconciliation.
One single truth table for every SKU — linking identifiers across platforms, tracking supplier details, packaging specs, and product hierarchy. One place to look.
Sales velocity calculated across channels with ABC segmentation. Demand forecasting that accounts for trends, seasonality, and channel-specific patterns.
Supplier data, purchase order tracking, and lead-time variability mapping. Most systems assume lead times are fixed. They're not — this layer models the variability.
Real-time inventory positions across every location and channel, cross-verified against at least two data sources. Discrepancies are flagged automatically, not silently averaged.
Automated reorder points, safety stock calculations, transfer recommendations, and risk flags — all driven by the data layers below.
Capital exposure by SKU, cash flow projections tied to purchase orders and lead times, and margin analysis.
Weekly inventory reports, executive summaries, stockout risk alerts, and PO timeline tracking. Decision-ready information delivered to your inbox.
Most inventory tools assume you can restock quickly. Ecommerce brands sourcing from China have 45-120 day lead times. Every calculation in LTAF factors in that reality.
Amazon FBA, Shopify DTC, TikTok Shop, wholesale, and retail all behave differently. LTAF models demand and inventory separately per channel, then unifies the view.
We don't hand you a framework and walk away. We build the system, migrate your data, write the SOPs, and run the operations using it.
Google Sheets, Google Apps Script, Notion or ClickUp. No expensive software subscriptions. No vendor lock-in. You own the system.
Client intake, platform access, workbook skeleton creation, import tab configuration, initial SKU data population.
Sales normalization, inventory position engine, supplier master data entry, first data imports.
ABC segmentation, demand forecasting engine, safety stock and reorder point calculations, PO tracker setup.
Transfer planner, cycle count system, capital exposure tracker, weekly report framework, executive dashboard.
System goes live. We run daily operations, generate weekly reports, manage procurement, and continuously refine the system.
Every case study below was built using LTAF methodology — from diagnosis through system design through daily operations.
View Case Studies →