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Inventory Optimization: AMZ & WMT vs Teikametrics Data
Inventory Optimization: AMZ & WMT vs Teikametrics Data

Understanding the comparison of calculations and features between AMZ, WMT and Teikametrics

Updated over 4 months ago

Table of the functionality between Amazon and WMT's seller views compared to the Inventory metrics and data availability with Teikametrics.

Teikametrics' Inventory tools look at the individual SKU level, rather than a parent level; and combines your advertising data and inventory metrics to easily understand where you are advertising items as well as send you customizable email notifications to be aware of rate of sale trends and potential stockout situations.

In more detail: Y = Yes, N = No, P = Partial

Functionality

Teika

AMZ

WMT

Detailed difference

Out-of-Stock email & missed sales metrics

Y

P

P

At merchant level, unable to identify campaigns affected by stock-outs, allowing for adjustments. Limited missed sales data, no rate of sale reflected for when in stock. Limited notification capacity

Custom Email Alerts / Insights

Y

N

N

Customizable email alerts for changes in Rate of Sale or Stockout detection with no similar offering

Advertising

Y

N

N

Easily identify campaigns tied to products & access details - AMZ/WMT: Ads section separate and not linked

Profitability Metrics

Y

N

N

Teika provides cost of goods sold (COGS), inventory value, and margin details for comprehensive profitability analysis, No COGS, inventory value, or margin details shared at merchant level

Days of Supply

Y

P

P

AMZ: frequently volatile calc based at parent level; WMT caps 50+d, Teika’s SKU level calc with full breakdown of a demand forecast up to 365d forward prediction

Rate of Sale metrics

Y

P

Y

Teika tracks current rate of sale for real-time inventory adjustments; AMZ limited for individual SKU level - calculation focuses on parent relationship; WMT calculates avg GMV daily sales rate & units

Inventory Sales Ratio

Y

N

N

Teika calculates inventory sales ratio for a clearer picture of inventory movement; data is not available either AMZ or WMT

Sell Through Rate

Y

P

N

Teika employs daily inventory data for a more accurate sell-through rate; AMZ uses limited snapshot data at 30, 60, 90 days to calculate values; no equivalent in WMT

Demand Forecast

Y

P

P

Teika views up to 365 days forward; merchants provide a limited snap shot of suggested inbound shipment in next 30 days with limited information on calculation

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