SmartScale AI Launches Multi-State Pilot Program to Bring Enterprise-Grade Analytics to America's Small Businesses

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AI platform partners with businesses across Hawaii, New York, and California to address $2.6 trillion productivity gap; founder's research accepted at international AI conference

-- SmartScale AI, a B2B artificial intelligence platform developed by Nimbus Solutions LLC, today announced the launch of a national pilot program designed to bring enterprise-grade forecasting, scheduling, and operational intelligence tools to small and mid-sized businesses across the United States.

Small businesses employ nearly half of the U.S. private workforce, yet most lack access to advanced analytics used by larger enterprises. SmartScale AI, founded by Columbia-trained data scientist Lin He, aims to close that gap through an AI platform designed specifically for forecasting sales, managing inventory, optimizing staffing, and predicting operational load.

Today, the company announced the expansion of a national multi-city pilot program with small businesses in Hawaii, New York, and Los Angeles, marking a significant step in scaling intelligent decision-making tools for the 33 million small businesses that underpin the U.S. economy.

“Small businesses generate tremendous economic value, but they are still underserved by modern AI technology,” said Lin He, Founder and CEO of SmartScale AI. “Our goal is to make enterprise-grade forecasting and optimization tools accessible to every local business owner.”

Multi-State, Multi-Industry Pilot Expansion

SmartScale AI is currently partnering with a diverse group of organizations whose operational challenges represent the broader U.S. small-business landscape.

The pilot program is currently active across three major U.S. regions:

  • California (Los Angeles area) — logistics warehouses, creative retail, arts education programs
  • New York — mental health and professional service practices
  • Hawaii — tourism-driven retail and surf-related businesses

Participating businesses span multiple sectors, including logistics and warehousing, mental health services, after-school education programs, independent retail studios, and tourism-facing small enterprises.

“Small businesses experience constant demand uncertainty, but most lack the predictive tools needed to plan ahead,” said Lin He, Founder of SmartScale AI. “Our goal is to make responsible, practical AI accessible to the businesses that power local economies.”

"We deliberately designed our pilot program to test across different industries and regions," He explained. "A solution that only works for one type of business isn't really solving the problem. Our platform's modular architecture—the same approach I used to build systems serving millions of users across multiple games at Zynga—enables us to serve a surf school in Hawaii and a healthcare clinic in California through the same underlying technology."

From Academic Research to Real-World Deployment

SmartScale AI is grounded in peer-reviewed research and applied machine learning. In 2025, He’s work was accepted into two international academic conferences:

  • Multimodal Sentiment Analysis for SME Reviews: A Hybrid Model Integrating BERT-BiLSTM-Attention with Visual Feature Fusion (MVIIPR 2025)
  • A Unified AI Platform for Forecasting Sales, Traffic, and Operational Loads in SMBs (AIETDS 2026)

These studies form the technical foundation of SmartScale AI’s platform, which integrates demand forecasting, sentiment analysis, workforce optimization, and operational load modeling into a unified system designed specifically for small business use.

Unlike traditional consulting engagements, SmartScale AI is structured as a standardized SaaS platform that can be deployed remotely and scaled across regions and industries.

Structured Pilot Program and Measurable Outcomes

The SmartScale AI pilot follows a structured deployment lifecycle commonly used in enterprise and research-driven technology programs:

  1. Testing Phase – technical feasibility and data validation
  2. Research Phase – exploratory modeling and KPI definition
  3. Pilot Phase – three-month operational deployment
  4. Adoption Phase – post-pilot subscription and expansion

Pilot performance is evaluated using measurable indicators such as forecasting accuracy, inventory efficiency, scheduling improvements, and operational cost reduction. Businesses that achieve defined success metrics may elect to adopt the platform through a paid implementation following the pilot period.

Research results suggest meaningful improvements in planning accuracy and resource utilization, particularly in environments with seasonal demand, variable customer traffic, and complex staffing requirements.

Supporting Small-Business Modernization at Scale

SmartScale AI’s mission aligns with broader national efforts to modernize small businesses through responsible AI adoption, productivity enhancement, and digital infrastructure development. By reducing the analytics gap between large enterprises and small businesses, the platform aims to strengthen local economies and improve operational resilience across industries.

“AI should not be reserved for the largest companies,” He added. “When small businesses have better planning tools, the benefits extend to employees, customers, and communities nationwide.”

A Nationwide Rollout Strategy

SmartScale AI plans to expand access through a four-phase national rollout:

  1. Pilot Deployment (2026–2027): Honolulu, New York City, Los Angeles
  2. West Coast Expansion: Partnerships with chambers of commerce, SBDCs, and retail associations
  3. National Integration: Plug-and-play modules for Shopify, Square, WooCommerce, and QuickBooks
  4. Training & Workforce Enablement: Free AI literacy workshops, community-college collaborations, and small-business bootcamps

The platform is designed for frictionless onboarding, allowing businesses across the U.S. to adopt forecasting tools without specialized IT support.

About SmartScale AI

SmartScale AI is a mission-driven B2B SaaS company dedicated to closing the AI adoption gap for America's small businesses. The platform delivers enterprise-grade predictive analytics—including demand forecasting, inventory optimization, workforce scheduling, dynamic pricing, and customer retention modeling—through an accessible, affordable cloud-based solution. Headquartered in Hawaii with pilots active across multiple states, SmartScale AI is building the infrastructure layer for small business intelligence. 

For more information, visit https://www.smartscale-ai.cloud/

Contact Info:
Name: Lin He - Founder & CEO
Email: Send Email
Organization: SmartScale AI
Website: https://www.smartscale-ai.cloud/

Release ID: 89179846

CONTACT ISSUER
Name: Lin He - Founder & CEO
Email: Send Email
Organization: SmartScale AI
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