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01Consumer Business

AI Analytics for Consumer Business

For retail chains, stores, e-commerce, dining, apparel, pet products, auto, mobile, new energy, and smart hardware companies, AskTable helps business teams quickly gain operating insights from sales, marketing, channel, product, and user data.

Retail & E-commerce
Chain stores, dining, tea drinks, apparel, pet products, and e-commerce teams.
Auto & Mobile
Auto, new energy vehicles, mobile brands, dealers, and channel sales systems.
Smart Hardware
Smart glasses, AI recorder cards, smart toys, wearables, and other new products.
Book a DemoLearn About Scenarios
02Pain Points

Consumer business is becoming real-time, but answers are still slow.

01

Operations Move Faster

Sales, marketing, channels, inventory, and user feedback change every day. Monthly and weekly reports can no longer support decisions.

02

Old and New Growth Engines Overlap

New energy, online-offline retail, service ecosystems, and smart hardware launches make sales, channels, users, and retention questions interdependent.

03

Lots of Data, Slow Answers

Companies have sales, store, dealer, ad, product, member, and after-sales data, yet teams still wait for extraction, metric changes, and manual analysis.

04

Charts Do Not Create Action

Dashboards show results. Leaders and frontline teams need conclusions, attribution, trend judgment, and next actions.

03Solution

AskTable is not BI with a chat box. It moves business questions into a governed analytics workflow.

Owners, executives, regional heads, and business leaders

AI Analytics for Humans

For questions such as margin decline, conversion anomalies, new product retention, and repeat purchase analysis that require planning, attribution, context, and multi-step reasoning.

Deep analysis: about 1-2 minutes
Store managers, operators, sales teams, e-commerce teams, channel managers, and business agents

Ask-Data for Humans and Agents

For high-frequency, accurate, verifiable questions such as yesterday's sales, channel GMV, ROI, lead conversion rate, and feature usage ranking.

Fast ask-data: about 5-10 seconds
Humans & Business Agents
Deep Insights for Leaders
Generate visual operating reports, anomaly attribution, and decision recommendations in 1-2 minutes.
Real-Time Ask-Data
Return metrics, details, YoY/MoM comparisons, simple explanations, and follow-up paths in 5-10 seconds.
Enterprise Governance
Semantic, permission, audit, and traceability layers ensure every answer is generated under the right access scope.
AskTable Agent Planner
AskTable
Governed AI Analytics Engine
Semantic LayerPermission ControlQuery EngineContext ManagementCache StrategyReport Generation
Semantic Layer · Permission Layer · Data Sources
DB
MySQL
DW
Doris
📊
Excel
📊
Lark Base
API
API
CLOUD PLATFORM
☁️
Alibaba Cloud
☁️
Tencent Cloud
🔥
Volcano Engine
Cross-Cloud Data Integration & Unified Analytics
04Scenarios

Questions consumer teams ask every day.

Retail & E-commerce

For chain stores, dining, apparel, pet products, and e-commerce teams, connecting sales, inventory, advertising, and product structure questions.

Typical questions
Which stores suddenly dropped in sales? Is it inventory, price, or promotion?
Why did ad ROI get worse? Which channel, city, or audience performs best?
Where do new products perform best across cities, channels, and user segments?
Roles
Owners, regional heads, store managers, e-commerce operators, ad leads
05Capabilities

Enterprise AI analytics is not just Text-to-SQL. It must be constrained by governance.

Metric Semantic Layer

Unify metric definitions and business entities for sales, GMV, ROI, margin, conversion, retention, and more.

Role and Data Permissions

Support tenant, role, row-level, and field-level access so store managers, regions, HQ, and dealers get different answers.

Traceable Query Engine

Ensure speed, accuracy, and lineage so answers can trace back to tables, fields, and query paths.

Agent Planner

Decide when to query data, when to attribute causes, when to generate reports, and which query path to use.

Audit and Security

Record who asked what, queried what, and used which data while preventing sensitive field leakage and fabricated conclusions.

Reports and Follow-ups

Turn data results into business language and support continued analysis around the same operating question.

06Start

Start with one high-value scenario and connect AI analytics to real operations.

Run a POC first, let business teams validate answers with real questions, then expand to more data sources, roles, and scenarios.

01Choose one high-value scenario, such as store operating reports, ad ROI analysis, regional sales anomaly attribution, new product launch analysis, or dealer conversion analysis.
02AskTable works with the customer to map data tables, metric definitions, permission rules, and core business questions.
03Validate answer quality, attribution logic, permission boundaries, and business usability with real questions.
04After the POC works, expand to more data sources, roles, and business scenarios, then move into long-term cooperation.

Build data intelligence for consumer business

AskTable is not just an AI ask-data tool. It starts from high-value business scenarios and gradually connects AI data analysis to real enterprise operations.

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