One stock position.
Every channel you sell on.
Marketplace, brick-and-mortar, shop-in-shop, and your own website all draw from the same inventory - but rarely from the same number at the same time. Connect the warehouse or database each channel already syncs into, join them on a shared key like SKU in a few no-code clicks, and ask the combined stock position directly - so replenishment and availability decisions are made on what's actually on hand.
A SKU sells out on the marketplace listing while the same item sits overstocked in a store two miles away. A shop-in-shop counter restocks based on last week's numbers because this week's sales haven't synced yet. The website shows "in stock" on something the warehouse already promised to a wholesale order. None of this is a data entry mistake - it's that marketplace, brick-and-mortar, shop-in-shop, and web each keep their own version of the stock count, and by the time anyone joins them by hand, the real number has already moved again.
What Actually Happens
Someone asks "what's actually in stock."
Here's where that answer comes from.
Same question. Two different ways it plays out.
Today
“Which SKUs need replenishing this week, across every channel?”
- Marketplace, POS, and warehouse each export their own stock numbers
- Someone manually reconciles three or more spreadsheets by hand
- A channel oversells or a store overstocks before the reconciliation finishes
- Next week, the same manual reconciliation starts over
With Edilitics
Same question, asked in AskEdi instead
- Every channel's stock data is already connected and joined once, upfront
- A live query answers it directly, in plain English
- Replenishment need is ranked by actual computed velocity per channel
- Closes with a recommended action and a metric to check before you reorder
One Platform, Every Channel
Connect every channel's stock data,
read it as one position.
Four steps, once, across the warehouse or database your marketplace, store, and web channels already sync into.
One stock position, every hop
Connect
Point at the warehouse or database each channel syncs into
24 connectors - Snowflake, BigQuery, Redshift, Postgres, and more - profiled and DQ-graded the moment each channel's data lands.
Validate
AI drafts what each column means
Reviewed once, then reused for every question after.
Join
Reshape and join across channels, no code
25 no-code operations turn per-channel exports into one governed stock table.
Ask
Ask the question directly
AskEdi answers now, Visualize keeps the stock dashboard current.
Connect the warehouse or database each channel already syncs into, join channel exports into one stock table in Transform, keep the stock dashboard current in Visualize, and take the replenishment question live in AskEdi.
Already Have a Dashboard? Good.
The dashboard still shows what's on hand.
AskEdi is what tells you where to act first.
Visualize keeps the recurring stock-position dashboard current across channels. AskEdi is the layer on top that ranks where to focus replenishment this week - and closes it with a recommended action, not just a number.
Executive Overview
3 SKUs are within 5 days of stocking out on the marketplace channel while carrying 40+ days of cover in-store.
Anomaly
Marketplace sell-through for SKU-2291 is 2.8x the average velocity this week, well past the normal range.
Visualize builds it once. Summarise reads it back like this.
Correlated Driver
Every channel's stock position is tested against sell-through velocity - a real signal, not a guess.
Decision & Impact Summary
A recommended reorder quantity and channel, its evidence, and a confidence level - not just a number.
AskEdi answers it live. No manual reconciliation cycle.
Not Just Confident-Sounding
A reorder decision you can check,
not just trust.
A fast answer only matters if the stock number behind it actually holds up at the warehouse.
Analysis View on every answer
The exact query that ran against your database, one click away - not a black box you have to trust.
Methodology Notes, in plain language
Sample size, method, and test result stated for every forecast or root-cause read - generated by Edilitics, not the AI.
Zero raw rows sent to any LLM
Architecturally enforced, not prompt-engineered - the AI reasons on schema and stats, never your actual data.
No charge on a bad answer
Failed, empty, or malformed results are never billed - the system doesn't paper over its own failures.
Ask Directly
Questions omnichannel retail teams actually ask AskEdi
Ask any of these directly, across whichever channel's data the answer actually depends on.
“Which SKUs are about to stock out across any channel this week?”
“Which channel is overstocked on the same SKUs another channel is selling out of?”
“Forecast units sold per channel for the next quarter.”
“What if we shifted 10% of warehouse stock to our best-performing marketplace listing?”
“Where should we focus replenishment this week, across every channel?”
“Summarise this week's stock position the way I'd report it in a standup.”
Not sure this is your situation? See all six solutions.
Everything you need to know before you decide.
No sales call needed. If you have a question we haven't answered here, reach out directly.