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Demand OS for Ecommerce

Demand planning AI software that moves at ecommerce speed

Weekly cycles, fragmented channel data, and gross-sales forecasting were not built for flash sales, viral spikes, and marketplace returns. The ecommerce template ships with daily demand sensing, returns-adjusted forecasting, and flash sale scenario planning on day one.

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What does demand planning AI software do for ecommerce?

Demand planning artificial intelligence software for ecommerce ingests daily signals from Shopify, Amazon, and marketplace platforms, senses demand shifts within a day instead of a week, adjusts forecasts for returns, and pre-positions inventory ahead of flash sales and promotional events. The measurable outcomes are fewer stockouts during viral or promotional spikes, less excess inventory from unadjusted return rates, and a pilot live in 4–5 weeks — the fastest of any vertical.

The Ecommerce Problem

Ecommerce demand punishes weekly, gross-sales forecasts

Weekly forecasts are stale before Monday
Ecommerce demand can shift by 30% in a single day during a sale event, influencer mention, or marketplace algorithm change. A weekly cycle cannot respond fast enough to prevent stockouts or excess.
Marketplace signals scattered across platforms
Demand data from a Shopify storefront, Amazon Seller Central, Walmart marketplace, and social commerce lives in different systems, updating at different intervals. The forecast is always behind the actual sales picture.
Returns distort the demand signal
A gross-sales forecast for apparel or electronics that ignores return rates overstates net demand — and the over-purchase is compounded by the cost of processing and restocking returns.

What the Ecommerce Template Includes

Capabilities mapped to ecommerce failure modes

ECOMMERCE FAILURE MODE
Weekly cycles miss a demand spike until the stockout has already happened.
Demand Sensing
Ingests daily POS, marketplace, and social commerce signals from Shopify, Amazon Seller Central, Walmart, and TikTok Shop. The near-term forecast updates daily, not weekly.
ECOMMERCE FAILURE MODE
A flash sale or Prime Day event can sell in 6 hours what the baseline would move in 3 weeks, with no pre-planned inventory.
Scenario Planning
Merchandising teams model the inventory requirements for a planned sale or marketplace event before it runs — expected uplift, SKUs in scope, and event window in, required pre-position inventory out.
ECOMMERCE FAILURE MODE
A gross-sales forecast that ignores return rates drives systematic over-purchasing in high-return categories.
Inventory Optimization
Applies category-level return rate assumptions to the gross demand forecast, sizing replenishment orders against net expected demand.
ECOMMERCE FAILURE MODE
An organic spike from an influencer mention goes undetected until inventory is already gone.
Demand Sensing
Detects statistical anomalies in real-time order data within 24 hours of a spike, adjusts the near-term forecast, and surfaces a re-order alert for affected SKUs.
ECOMMERCE FAILURE MODE
Merging reports from Shopify, Amazon, Walmart, and TikTok Shop by hand before every forecast cycle.
Marketplace Connectors
Native connectors for Shopify, Amazon Seller Central, Walmart Marketplace, TikTok Shop, and Etsy pull daily order and inventory data automatically into one unified feed.
ECOMMERCE FAILURE MODE
"Why did the forecast jump?" takes a day of analyst time to answer during a live promotional event.
Explainable AI + Copilot
Every forecast ships its ranked drivers (channel mix, promo, returns); the copilot answers the question in the workbench in seconds.

In Practice

A DTC apparel brand avoids a stockout during a viral social moment

The Situation
A direct-to-consumer apparel brand sold across its own Shopify storefront and Amazon. Demand for one SKU spiked 4x within 18 hours following an organic social media mention, with only 3 days of cover remaining on a weekly planning cycle.
What Demand OS Did
Demand Sensing detected the statistical anomaly in Shopify order data within 24 hours of the spike beginning, surfaced an alert with a revised near-term forecast, and identified 3PL inventory that could be reallocated to online fulfilment within 48 hours.
The Outcome
The brand avoided a stockout by reallocating 3PL inventory and expediting a partial replenishment order. Lost sales from the event stayed under 3% of potential volume. The same scenario template pre-positioned inventory for an influencer partnership two months later.
Ecommerce checkout and fulfilment driven by AI demand sensing

Measurable Ecommerce Outcomes

What ecommerce teams measure after go-live

Demand planning artificial intelligence software earns its keep in three numbers ecommerce leadership already tracks. Demand OS reports all three continuously, from the pilot's first cycle.

30%the swing ecommerce demand can take in a single day during a sale or viral event (Industry analysis)
20–30%of returns in apparel and electronics are preventable with demand-aware replenishment (NRF Returns Study)
4–5 wkstypical go-live time on an ecommerce pilot — the fastest of any vertical (Perimattic implementation benchmark)
Related

Explore Demand OS for Ecommerce

Demand Sensing

Daily signal detection that sharpens the near-term forecast before replenishment decisions are made.

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AI Copilot

Ask planning questions in plain language and get grounded, traceable answers from live data.

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Demand OS vs o9 Solutions

Planner-first design vs an enterprise IT platform, with published positioning up front.

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Frequently Asked Questions

Ecommerce demand planning, answered

How does Demand OS connect to Shopify and marketplace platforms?+
Demand OS has native connectors for Shopify, Amazon Seller Central, Walmart Marketplace, and TikTok Shop. Daily order and inventory data is pulled automatically. The unified feed eliminates the need to manually merge reports from each platform before the forecast runs.
How does Demand OS handle flash sales or promotions with very short duration?+
Scenario Planning allows planners to define a promotional event with a specific date range, SKU scope, and expected uplift multiplier. The system calculates the inventory required to meet the event demand and surfaces a pre-position recommendation with a lead time check against current open orders.
Can Demand OS forecast returns as well as gross demand?+
Yes. Return rate inputs can be configured at the category, subcategory, or SKU level. The forecast output includes a gross demand figure and a net-of-returns figure. Inventory optimization and replenishment recommendations are based on the net figure by default.
How does Demand OS handle influencer-driven demand spikes?+
Demand Sensing detects statistical anomalies in real-time order data within 24 hours of an organic spike. The near-term forecast is adjusted upward and a re-order alert is surfaced for any affected SKUs where current inventory or open orders are insufficient to meet the revised demand projection.
What is the implementation timeline for an ecommerce pilot?+
Most ecommerce pilots go live in 4–5 weeks. The process covers marketplace connector setup, historical data ingestion, return rate configuration, model training, and planner UAT. The shorter timeline relative to other verticals reflects the quality and accessibility of ecommerce demand data.

Get Started

See the ecommerce template on your data

A scoped pilot with your marketplace connectors, your return rates, and your daily order feed — live in 4–5 weeks. You leave with accuracy benchmarks, a rollout plan, and published pricing.

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