Meet Saras iQ

The AI analyst & data team built for your e-commerce business

Ask your data questions in plain English and get trusted & verifiable answers across your business functions.

Book a Demo →Book a Demo →

Trusted by Brands on Shopify & Amazon

Still dealing with these problems? Saras iQ users aren't.

01

Struggling to get trusted answers from Claude?

Connecting Claude to your warehouse gives AI access to your data. Saras iQ adds the business context required to get consistent, trusted answers

02

Waiting for 10days to get a report?

Reports & ad hoc analysis shouldn't take
days. iQ turns your warehouse data into answers/reports in minutes, so that business decisions happen when they matter

03

Getting different answers for the same question

When teams pull numbers differently, the same metric can tell a different story. iQ certifies every definition once, giving everyone one trusted, consistent answer

Saras iq case study

One company. 30 days. What actually happened.

Ridge: May 8 to June 5, 2026

1,069

Questions answered

35

Team members asking questions CEO to data team

18

Questions answered per day

0

Analyst requests generated

A process that would traditionally take 90 days, involve 3 analysts, and cost approximately $150,000

"Saras iQ MCP is world class. It's the best use case for a data warehouse.  Once you get Saras iQ inside of Claude, it's worth over $50,000 a month for us."

Sean Frank

CEO

Ask iQ

The questions top e-commerce operators trust iQ to answer

Validated answers with the underlying assumptions and SQL, so you can verify the logic and trust the numbers

Show me contribution margin by channel for the last 90 days?

"See which channels drive the most profitable growth"

Where is my customer acquisition cost rising faster than lifetime value?

"Spot where acquisition costs are outpacing customer value"

Which campaigns in the last 90 days drove the best customers, not the most customers?

"Find the campaigns driving your highest-value customers."

What is the single product that most predicts a second purchase within 60 days?

"Find the products that drives the most repeat purchases"

Can you show me every SKU ranked by the combination of margin, velocity, and return rate?

"Rank every SKU by margin, velocity, and returns"

Schedule a free demo

Y

Show me contribution margin by channel for the last 90 days?

Saras iQ

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

Y

Where is my customer acquisition cost rising faster than lifetime value?

Saras iQ

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

Y

Which campaigns in the last 90 days drove the best customers, not the most customers?

Saras iQ

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

Y

What is the single product that most predicts a second purchase within 60 days?

Saras iQ

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

Y

Can you show me every SKU ranked by the combination of margin, velocity, and return rate?

Saras iQ

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Total Contribution Margin (CM3) across all channels: $7,848,588.83

📋 Assumptions:

Data reflects the last 90 days of available data (2025-12-21 to 2026-03-20); requested future date window had no data

🧠 Response Summary:

Amazon leads efficiency at 43.2% margin, while Shopify generates the most margin dollars at $4.53M. TikTok lags significantly, with $597.7K in ad spend generating just $111.2K in margin

How iQ delivers validated, trusted answers every single time

Accuracy isn't accidental, it's engineered through a multi-layer process

01

Golden Test Set

30–100 real client questions with expected SQL and verified answers

01

L1 Testing: Automated

Every response tested against the golden test set to determine output efficiency

03

L2 Testing: Manual

AI specialists & business analysts refine business
logic to get 95%+ accuracy

04

Client UAT & Feedback

Your team validates before go- live to further improve the accuracy

Evaluation Framework & Regression Testing

Every change to the context layer is regression-tested so updated & improvements never break existing accuracy

FUN FACT

iQ MCP is used 80% of the time in Claude

From verified answers to custom dashboards, workflows, and deep dive analysis, teams are turning days of data work into minutes and asking questions that they never thought they could ask on their business data

Explore iQ MCP →

Why do you need Saras iQ, isn't Claude + BQ enough?

Claude & Big Query love Semantic Layer and recommend it to get trusted answers. We've already built that for you.

Question

Claude on BigQuery

Saras iQ

Ad spend & ROAS by platform?

Fused 4 channels into "Shopify"

Correct 5-channel split

Subscription rebill orders?

0 — table not found

~123,000 rebills

CAC trend by month?

$27–$19,415 (Illogical)

$100–$107 (stable)

Total marketing spend?

Omits ~$145K/mo

Includes all streams

What's our market opportunity?

Invents "$2.1B market size"

Stays in warehouse only

* Same model. Same warehouse. Different context.

Generic AI knows what a revenue metric is.
Saras iQ knows what your revenue metric is.

See how iQ MCP works →

Core capabilities

Saras iQ works with your favourite workspace tools & does everything your data team can do.

iQ Analyst

Ask any business question in plain English. Geta certified answers with full SQL lineage and dashboards

iQ MCP

Use iQ natively in Claude or your favorite AI tool to get verified responses, build custom workflows & dashboards, run deep-dive analyses, & more

iQ inside Slack

Tag @iQ in any channel, create a private channel, or DM @iQ directly. Get trusted & verifiable answers right in Slack

Business Reports

Start from prebuilt templates or build your own custom reports. Schedule it once, delivered as a certified PDF every time

Deep Mode

Multi-step root cause analysis using deep-
level reasoning. The kind of work that used to
take a senior analyst two days

Role-Based Access

Control who sees what — down to the dataset.
SSO, OAuth, full audit log on every query, every
user, every timestamp

iQ Data Engineer

Your AI data teammate in the Slack support channel: explains metrics, checks freshness, and logs requests as tickets

Prebuilt Dashboards

Ready-to-use, fully customizable dashboards for sales, marketing, contribution margin, customer analytics, and more with built-in security and PII masking. Get the flexibility to explore data your way, without the setup or rigidity of traditional BI tools

Schedule a free demo View pricing

A Standard No One Else Offers

We certify your data: Because trust should be certified

500+ daily QA tests run behind every response, dashboard, number, and report, so you can make million-dollar decisions with confidence

Security & Trust

Secure, context-aware, and enterprise-ready

Your data stays in your warehouse. Always. iQ is designed from the
architecture up to never expose what isn't necessary.

Certified by:

Data never leaves your warehouse

iQ queries in-place with read-only access. Nothing is copied, cached, or exported.

Your business PII stays protected

Role-based controls ensure sensitive customer data is only accessible to those who need it

Your data never trains any AI model

We access LLMs via API. Your queries and results are fully
excluded from model training.

Pricing built for immediate value

Get validated trusted answers in minutes and scale as your business demands

See pricing →

$1999/mo

starting price

10 days

to get up and running

The context difference

Why iQ gives over 95% accurate answers compared to your generic AI setup

The difference isn't the model. It's what the model knows about your business.

Question

Claude on BigQuery

Saras iQ

Your business
logic

Doesn't know your metric definitions, exclusion rules, or business context

Correct logic, every time: iQ's context layer encodes your
exact definitions

Table
descriptions

Struggles to pick the right table when multiple tables have similar fields,
wasting tokens on unnecessary table analysis

Always queries the right table & uses exact metric definitions: iQ's directory maps every table to its purpose

Column-level
details

Can’t reliably infer column meaning (e.g., gross vs. net order_count), leading to extra token usage or incorrect answers

Picks the right column, first time: data type, meaning, and
accepted values defined

SQL query
templates

Doesn’t know how to structure queries for your specific data model and
may generate different SQL each time.

Generates accurate SQL, every query using validated
templates for your data model

Default handling

When a question is ambiguous, AI assumes and answers

IQ also clarifies ambiguous questions, preventing different assumptions and answers each time

Validation
process

No way to measure accuracy or catch regressions when logic changes

Evaluation framework that validates answers and ensures the numbers you see can be trusted

Schedule a free demo View pricing

Your business deservers a data team that never sleeps

Get reliable, certified answers in seconds, grounded in your actual data.
We'll answer your business questions, live, using your data.

Schedule a free demo View pricing