Catalogue questions today without Enterspeed
Nobody can answer for your next market today
The questions marketing need answered are locked in systems that do not talk to each other.
No count for the market
Nobody can answer how many products are ready to publish in a new market today.
The channel finds out first
A regulation takes effect, and you learn which products are non-compliant when a channel blocks them.
The midnight deploy
Someone deploys at midnight so the campaign does not start early. Once a year it starts early anyway.
Bought before data exists
You commit to buying products before anyone has agreed who supplies the data needed to sell them.
The product team knows what is live, pricing knows what has a valid campaign window, and compliance knows which items carry the energy label the EU now requires. Every question that crosses those boundaries takes a day and a spreadsheet, and the trading calendar does not wait.
How it works
Ask once, answer with sources
Enterspeed Core is an AI data orchestration platform, and the Context Graph on top of it is a queryable view of completeness, pricing and compliance state across every market and channel.
- 1
Compose
Core reads the sources you already run and composes one model with per-market extensions, so a single question can span master data, taxonomy, pricing windows and regulatory attributes without a manual join.
- 2
Scan
Corpus scans run in seconds and return the product IDs that match the condition, with the attribute and the source that caused the match.
- 3
See
The Readiness Dashboard makes completeness per market and dialect visual: publish-ready in a new market today, missing the regulated set for that market, or carrying a campaign price outside its valid window.
- 4
Compare
The Market Pricing Index holds list, campaign, member and contract price with history, so you can find products priced well above their own category median and ask whether that was intentional.
The Compliance Pack attaches the required regulatory set per market and category, with validity dates and a source for each, immediate on the day a rule changes. The Channel Readiness Scoreboard shows who fails a new rule before a channel says so, and Taxonomy Broker holds a versioned taxonomy so what is wrong in this category has a stable definition even when you reclassify mid-quarter. Your PIM, pricing engine and compliance register keep their jobs: Core reads them, does not replace them, and writes readiness scores back so those teams see the gaps in the tools they already use.
The board question
An answer, not a pilot
Whether an AI assistant recommends your products or a competitor’s depends on completeness, pricing sense and regulatory compliance across every market the agent might query.
Where the answer is not
- Not in the PIM alone, which holds the attributes but not the windows
- Not in the pricing system alone, which does not know what is compliant
- Not in a quarterly export, which is old the day it lands
- The head of e-commerce has a pilot rather than an answer
What it takes to get there
- It runs on top of the stack you already have, with no replatform and no new team
- Drop or fetch a file and see enriched output the same day, with no integration project
- It reads the sources you already run and writes back into them, so adoption needs no migration
- Every market gets the same capability, not the biggest one alone
AI-assisted traffic is a KPI the head of e-commerce now owns. What that traffic sees when it queries your catalogue is in the Readiness Dashboard, built from the same pipeline that feeds your channels and queryable in seconds with sources attached.
