RETAIL DATA INFRASTRUCTURE · AI RETAIL INTELLIGENCE

World-class AI
cracks the code to retail growth

SCISHANG pairs a deep data foundation for physical retail with advanced AI, giving retail brands and shopping malls end-to-end solutions for expansion and operations — cutting costs and lifting performance at every step.

AI Site SelectionSmart OperationsData-DrivenCost Efficiency
SCISHANG ATLAS · SITE SELECTION MAPShanghai · Core districts
Huangpu RiverWest Nanjing Rd · LuxuryLujiazui · Premium businessMiddle Huaihai Rd · Trend-ledN
Overall site score
86.4▲ Strong
Customer profile match
92.1%
0M+
Retail Locations
Precise nationwide coverage
0+
Chain Brands
10+ years of data
0+
Mall Profiles
360° mall intelligence
SEC.01 SOLUTIONS

End-to-end solutions,
from site selection to operations

A data foundation at the core, advanced AI models on top and years of retail consulting behind it — covering every decision a brand makes, from network planning to running stores day to day.

LEAP — Retail Site Intelligence Platform

A site-selection decision system built on data at scale, so every store you open rests on evidence.

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LEAP retail site intelligence platform interface
Core Features
  • 01Competitor opening and closing history
  • 02Floor plans and unit ratings
  • 03Mall ratings and customer profiles
  • 04Store placement and floor area
SEC.02 CASE STUDIES

Benchmark clients, measurable results

We serve leading brands and property groups in China and abroad. On real projects, SCISHANG's AI models keep delivering commercial value you can verify.

Government agencies

SCISHANG data has been officially cited by China's Ministry of Commerce, Xinhua, CCTV and government departments at every level, used to report on and monitor activity across offline retail.

“SCISHANG's data is accurate, current and comprehensive. It gives our commercial trend analysis a foundation we can rely on, and both our efficiency and the quality of our conclusions have improved markedly.”

Data collection efficiency
>80%
Cities under monitoring
300+
Trend analysis cycle
↓50%
SEC.03 CLIENT TRUST

30+ category leaders trust SCISHANG with the business decision

“What sets SCISHANG apart is that every forecast comes with a why. You don't just get a sales number — you see how foot traffic, customer profiles and competitors each contribute. That gives us real confidence when we choose a site.”

A leading global consumer electronics brand · Head of Expansion, China
Huawei
ANTA Sports
Bosideng
MINISO
UNIQLO
Nike
adidas
New Balance
VF Corporation
Under Armour
The North Face
Columbia Sportswear
HOKA
Deckers Brands
Timberland
Converse
Vans
Dickies
MLB
Crocs
SEC.04 WHY SCISHANG

An intelligent decision
partner you can trust

Top-tier academic roots, data at scale, explainable AI, end-to-end service — every one of SCISHANG's core strengths gets proven again on real projects.

MITAcademic Excellence

A technical team with top-tier academic roots

Founded by a distinguished MIT PhD, a global authority in explainable machine learning and an INFORMS Fellow — which is how our technology stays at the frontier.

1M+Data Scale

Authoritative, trustworthy data assets

1M+ retail locations, 12,000+ malls, 10,000+ brands — a proprietary database built over more than a decade, repeatedly cited by the Ministry of Commerce, CCTV and other authorities. An industry-leading source.

<15%Prediction Error

World-leading explainable AI

We don't just hand over a prediction — we show the reasoning behind it, meeting compliance requirements in finance and real estate and making AI decisions transparent enough to trust.

60%+Efficiency Gain

End-to-end solution capability

From network planning and store approval through performance forecasting and monitoring, one intelligent decision service across the whole chain — lifting decision efficiency by 60%+.

>95%Client Retention

Deep industry experience, proven in the field

We serve benchmark clients including top brands in China and abroad and multinational property groups, with long-term clients making up more than 95%.

SEC.05 OUR STORY

From the first row of data
to autonomous AI decisions

2014 Data Foundation

Localgravity, SCISHANG's predecessor, builds its own dual-track online and offline collection teams, gathering brand, mall and store information systematically — the beginnings of a data foundation for physical retail.

2016 Brand Partnership

Deep partnerships with category leaders across multiple retail formats, becoming their core data provider for store expansion and operations.

2017 SaaS Launch

Launch of a site-selection SaaS platform, putting digital decision-making in brands' hands.

2018 SCISHANG Founded

SCISHANG is founded, led by a distinguished MIT PhD and holding several proprietary AI technologies, focused on pairing industry data with AI models for retail brands' expansion and operations.

2019 Foot Traffic AI

Building on proprietary foot traffic samples and our data foundation, we develop a projected foot traffic AI model in-house, covering malls comprehensively and pushing accuracy past 85%.

2021 Localgravity M&A

SCISHANG acquires Localgravity, bringing AI capability and a solid data foundation under one roof and completing the strategic integration of technology and data.

2022 Full-Link Loop

By combining brands' historical store data with revolutionary, we close the loop: attribution of what makes a store succeed, then site recommendations, then foot traffic and sales forecasts.

2023 Hourly Forecast

A breakthrough in hour-by-hour foot traffic forecasting brings products for rigorous staffing and stocking, campaign modeling and health monitoring — the groundwork for running stores in fine detail.

2024 Heatmap Suite

Drawing on proprietary floor plans and foot traffic data, we release floor-level foot traffic share, zone heatmaps and unit heatmaps, helping brands avoid cold spots and pick the right unit.

2025 One-Click Approval

Unit heatmaps connect directly to brands' internal store approval systems: submit in one click, get an AI decision in seconds, with quicker approval and better judgment.

2026 AI Agents

Combining our AI models, proprietary database and site-selection experience with category leaders across formats, we launch the AI Site Recommendation Agent, the AI Market Research Agent and the AI Monitoring & Attribution Agent — taking the industry into the agentic AI era.

SEC.06 PROPRIETARY AI

Frontier proprietary AI
for smarter commercial decisions

As a pioneer in frontier AI, SCISHANG puts its technology to work deep inside real business scenarios, facing the full complexity of physical retail. Explainable, predictive, generative — several in-house AI applications are already in production, turning a technical lead into growth and efficiency you can see.

Explainable AI: decisions grounded in evidence

Attribution of site-selection success
  • Uncovers how a brand's stores and a given mall fit together to sharpen store portfolio strategy
Store performance alerts and attribution
  • Monitors store metrics, flags anomalies and analyzes what is likely driving them
Campaign effectiveness attribution
  • Quantifies the real return on campaign spending to guide budget decisions

Predictive AI: a future you can plan against

Mall and store foot traffic forecasting
  • AI models built on deep learning and ensemble learning
  • Rigorous staffing and stocking, and store targets set on evidence
New-store sales forecasting
  • AI models built on deep learning and ensemble learning
  • Predicts the sales and foot traffic potential of a store before it opens to support the business decision

Generative AI: strategy that surfaces on its own

AI Site Recommendation Agent
  • Explainable AI + agentic workflows + large language models
  • The AI produces site recommendations and analysis reports directly
AI Monitoring & Attribution Agent
  • Real-time stream processing + agentic workflows + large language models
  • The AI tracks competitor moves live, turning reaction into intervention
AI Market Research Agent
  • Vast retail market data + agentic workflows + large language models
  • Ask a question, get the market picture — retail research answered in a second
Impact of years in operation
Impact of neighboring retail formats
Impact of daytime population share
Impact of mall affluence index
Mall foot traffic and in-mall competitors
Mall foot traffic and retail format mix

Your next great store
starts with AI that understands data

Tell us your category and your city. A SCISHANG analyst will come back to you within one business day — with real data on the malls you're looking at.

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SCISHANG DATA · 31.2304°N 121.4737°E · RESPONSE WITHIN 24H