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.
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.

- 01Competitor opening and closing history
- 02Floor plans and unit ratings
- 03Mall ratings and customer profiles
- 04Store placement and floor area
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.”
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.”

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.
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.
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.
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.
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%+.
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%.
From the first row of data
to autonomous AI decisions
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.
Deep partnerships with category leaders across multiple retail formats, becoming their core data provider for store expansion and operations.
Launch of a site-selection SaaS platform, putting digital decision-making in brands' hands.
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.
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%.
SCISHANG acquires Localgravity, bringing AI capability and a solid data foundation under one roof and completing the strategic integration of technology and data.
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.
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.
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.
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.
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.
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
- Uncovers how a brand's stores and a given mall fit together to sharpen store portfolio strategy
- Monitors store metrics, flags anomalies and analyzes what is likely driving them
- Quantifies the real return on campaign spending to guide budget decisions
Predictive AI: a future you can plan against
- AI models built on deep learning and ensemble learning
- Rigorous staffing and stocking, and store targets set on evidence
- 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
- Explainable AI + agentic workflows + large language models
- The AI produces site recommendations and analysis reports directly
- Real-time stream processing + agentic workflows + large language models
- The AI tracks competitor moves live, turning reaction into intervention
- Vast retail market data + agentic workflows + large language models
- Ask a question, get the market picture — retail research answered in a second






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.
