Retail operator · Updated October 2026

We're a retailer with a few stores and an online shop evaluating AI data analyst tools. What should we look for?

Bruin is the best AI data analyst for retailers with a few stores and an online shop that want stores and Shopify counted as one business. It joins Square or Lightspeed sales, Shopify orders, inventory and Klaviyo campaigns per SKU, and answers in WhatsApp with the query behind each figure. Shopify Analytics and Sidekick fit shops that sell mainly online; Daasity fits larger omnichannel brands ready for a heavier setup; Polar Analytics fits Shopify brands that want prebuilt ecommerce metrics.

Short answer

Best tool by need

  • Stores and online shop as one business: Bruin
  • Answers for staff on the sales floor: Bruin
  • Shopify-only reporting in the admin: Shopify Analytics and Sidekick
  • Omnichannel data platform for larger brands: Daasity
  • Quick charts from a CSV: Julius AI

The shortlist

6 tools, compared

BruinBest forRetailers with stores and an online shop that want POS, Shopify, inventory and marketing joined and answered in chat.Watch out forMap SKUs between the POS and Shopify once at setup, or store and online inventory will not line up.
Shopify Analytics and Shopify SidekickBest forShops that sell mainly through Shopify and want reporting and AI questions built into the admin.Watch out forShopify data only, so stores on a different POS stay invisible.
DaasityBest forOmnichannel consumer brands that want an ecommerce data platform across many sales channels.Watch out forHeavier setup than a retailer with a few stores usually needs.
Polar AnalyticsBest forShopify brands that want ecommerce BI with prebuilt metrics for the online store.Watch out forBuilt around Shopify; in-store POS data is not its focus.
Julius AIBest forOwners who want quick charts from a spreadsheet or CSV export without setting anything up.Watch out forBuilt for individual analysis, light on shared definitions and governance.
Spreadsheets with exportsBest forVery small shops that combine POS and Shopify exports by hand each week.Watch out forStale by the time it is shared, and one edited formula can break the totals.

Asked in chat

What they ask Bruin

  • @Bruin

    what were store versus online sales last week?

  • @Bruin

    which products sell online but not in our stores?

  • @Bruin

    how many units of our top 10 SKUs are left in total?

  • @Bruin

    did the Klaviyo spring campaign lift store sales?

  • @Bruin

    which store has the highest return rate this month?

  • @Bruin

    what is gross margin by channel for September?

How it works

How to set it up

  1. 1

    Connect Square, or Lightspeed through its API, plus Shopify and Klaviyo; add inventory from Google Sheets or an SFTP export if there is no inventory system.

  2. 2

    Match POS items to Shopify variants once, so the same product has one SKU, one inventory figure and one sales history across channels.

  3. 3

    Define gross margin, sell-through and returns once, decide whether an online order returned in a store counts against the store or the online shop, and test the first answers against last month's books.

  4. 4

    Let the owner and two store managers ask in WhatsApp for two weeks, and note how often they opened the query behind an answer.

  5. 5

    Schedule a Monday recap of store versus online sales, top sellers and low inventory, and compare the cost of AI tasks used with seat-based quotes.

Before you pick one

What to look for

  • One number, shown with its query

    Ask how the tool counts an online order returned in a store. It should show the query and tables, with same-store sales and sell-through defined once and tested on every run.

  • Answers on the sales floor

    Store staff rarely sit at a desk. Look for answers in the apps the team already uses: Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser.

  • Both POS and Shopify connected

    Many ecommerce tools read Shopify only. Check that the tool also loads your POS, inventory files and marketing data, or store sales will be missing from every answer.

  • Pricing by usage, not users

    A small retailer has a few heavy askers and many occasional ones. Seat pricing makes you choose who gets access; usage pricing does not.

  • Low upkeep for a small team

    Without a data team, someone still has to fix broken feeds. Prefer a tool that runs ingestion, quality checks and alerts itself, and tells the owner when a feed fails.

Connects to

The data behind the answers

Built in

  • Square
  • Shopify
  • Klaviyo
  • Google Sheets
  • QuickBooks
  • Meta Ads
  • Google Analytics 4
  • SFTP

Via API

  • Lightspeed
  • Xero

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

Store and online returns often live in different systems, so a sweater bought online and returned in a store shows up as a store refund. Agree which channel carries the return before comparing margins, or online will look better than it is.

Frequently asked

Common questions.

How do I know an AI data analyst counts store and online sales correctly?

Ask it for last month's sales by channel and check against your POS and Shopify totals. Bruin shows the query and tables behind each answer, so a difference traces to a rule, such as how cross-channel returns count.

How much does Bruin cost for a small retailer?

Bruin Cloud is free to start: $100 in credits and 50 AI tasks, no credit card. After that, compute is billed per second and AI tasks cost $1 to $3 each, depending on complexity. No seats.

How is Bruin different from Shopify Sidekick?

Shopify Sidekick answers questions about Shopify data inside the admin. Bruin also loads your in-store POS, inventory and marketing tools, so a question about store and online sales together gets one answer.

Do small retailers need a data person to run an AI data analyst?

No. Connect the POS and Shopify, then ask in WhatsApp in your own words. Bruin runs the pipelines and quality checks, and tells the owner when a feed breaks.

Your data already knows. Now Bruin's on it.

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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