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For retail and e-commerce teams

Connect catalog, orders and stock, then let AI answer shoppers

A retail data platform brings product, order, inventory and customer data into one governed place. On that foundation, shopper search and stock answers come from catalog data instead of guesswork, and demand forecasts start from figures the business has already agreed.

Free first conversation · A person replies within one business day · You own the code and accounts

01 Sound familiar

Sound familiar?

  • Your catalog lives in one system, orders in another and stock in a third, and every report starts with someone exporting all three into a spreadsheet.

  • Shoppers search for what they mean, not the exact product name, and leave when the results come back empty or wrong.

  • Leadership wants recommendations and forecasts from AI, but nobody can say which stock figure is the right one today.

Assistant

Ask a shopper assistant about products and stock

Pick a question a shopper might type. The answers come from catalog and inventory data, show where each fact came from, and pass to a person when a promise would be needed.

Scripted walkthrough

Pick a question

  1. Question

    Do you have a waterproof hiking jacket in a women's medium?

    Assistant

    Two jackets match: a lightweight shell and an insulated jacket, both marked waterproof in the catalog. The shell is in stock in a women's medium for delivery. The insulated jacket is available in that size for pickup at a store near you.

    Sources

    • Catalog: product attributes
    • Inventory: online warehouse
    • Inventory: store stock

  2. Question

    What is the difference between these two blenders?

    Assistant

    The first has a larger glass jug; the second has a smaller jug and comes with a travel cup. Both carry the same warranty. Several reviews say the second is quieter, but that comes from customers, not from the product data.

    Sources

    • Catalog: specifications
    • Catalog: warranty terms
    • Customer reviews

  3. Question

    When will the gray wool coat be back in stock in a large?

    Assistant

    The large is sold out online and in nearby stores. Inventory shows more on order, but there is no confirmed arrival date yet, so I will not guess one. I can email you as soon as the large is available again.

    Sources

    • Inventory: purchase orders
    • Inventory: store stock

  4. Question

    Can you promise this sofa arrives before the weekend?

    Assistant

    The product page shows a delivery window that starts next week for your area, and I cannot promise an earlier date. I have asked the delivery team to check whether an earlier slot is possible, and they will reply to you directly.

    Sources

    • Inventory: warehouse stock
    • Delivery: slot availability

    Handed to a person because a delivery date outside the published window needs a decision from the delivery team.

Talk this through with us →

02 A typical situation

What this usually looks like

A retailer that sells online and in stores might come to us with the catalog in one tool, orders in the commerce platform and stock in a separate system, plus a search box that only matches exact product names.

We would bring the three sources into one governed model first and agree the stock and margin definitions with the business. Search and a shopper assistant would read from that model, with access to customer data limited to what each use needs, and a baseline recorded before anyone claims a gain.

03 Start

Start with the data, then decide where AI helps

Book a first conversation about your catalog, orders and stock. We work within your security review, and we will tell you which AI ideas your data can support today and which should wait.

What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

Or write to [email protected]. Send a brief instead

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What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

Contact

Send us a message

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Want the full picture? Read Retail and e-commerce.

Also written for you: Modern data platform , AI features for SaaS .

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