Arrow is reshaping how organizations in the heavy equipment sector understand value and demand across global asset markets. Designed for complex, high-value, and high-volume transactions across global asset markets, Arrow’s technology turns procurement into an intelligent, data-driven shopping experience powered by AI and real-time data. Through the partnership with Google Cloud and Bitstrapped, Arrow built an all-in-one, intelligent procurement platform that integrates data from more than 40,000 dealer websites. Running on Google Cloud’s infrastructure, the platform is architected for the complexity, scale, and financial magnitude of enterprise procurement, enabling businesses to make more confident decisions faster.

Bridging Data Gaps in a Legacy Market
Across traditional industries such as farm and heavy equipment, construction, logistics, and manufacturing, businesses continue to operate on legacy systems, siloed data, and manual workflows that struggle to understand asset value, predict market shifts, or respond quickly to changing conditions in the market. The result is inefficiency, delayed decision-making, and missed opportunities, a cycle that limits competitiveness and prevents industries from realizing the full potential of digital transformation.
The procurement process amplifies these inefficiencies. Many organizations still depend on spreadsheets, email chains, and manual approvals, creating a lack of transparency, limited visibility, and weak control over spending. Disjointed systems between finance, operations, and vendors make it difficult to reconcile data or anticipate supplier risks, limiting organizational agility and diverting focus from strategic priorities.
Building a Smarter Intelligence Platform on Google Cloud
To bring their vision of real-time market intelligence to life, Arrow needed a platform capable of processing vast, continuously changing datasets while supporting advanced AI workflows from predictive analytics to natural language interaction. Arrow’s customer Titan Machinery, North America’s largest CASE IH dealer, represents the kind of complex, multi-location operation that depends on Arrow’s AI-driven intelligence to modernize how high-value equipment is priced, forecasted, and managed across global markets.
To achieve this, Arrow partnered with Bitstrapped, a Google Cloud Premier Partner, and identified Google Cloud as the foundation for its next-generation architecture. Google Cloud’s AI-optimized infrastructure, featuring BigQuery, Vertex AI, and Gemini models, offered the scalability, security, and performance required to unify data from thousands of sources into a single, intelligent system.
Bitstrapped worked closely with Arrow to design and deploy an end-to-end data and AI platform that operationalizes Arrow’s vision while maintaining enterprise-grade reliability. Arrow brought deep domain knowledge and proprietary market models, while Bitstrapped provided the AI engineering and data modernization expertise to integrate and operationalize them at scale.
The resulting platform powers Arrow’s three key capabilities:
Trade Cycle Management
Processes multiple live datasets, including USDA reports, commodity pricing, and dealer-published specials, through BigQuery and Vertex AI pipelines to deliver precise, regression-based price and usage analysis across asset classes. Through data ingestion and normalization workflows built by Bitstrapped using Cloud Composer and DBT, Arrow’s models achieve cleaner, more reliable valuations powered by LLM-driven entity resolution.
Regional Demand Signals
Use BigQuery ML to combine macro and micro-market indicators, such as weather data, Google Ads keyword volumes, and dealership sales history, to generate ZIP-level purchase-intent forecasts. These models leverage gradient boosting ensembles and historical trend clustering to deliver dynamic, visual demand forecasts that can be queried in natural language through Gemini.
Service Content Indexing
Enhance post-sale engagement by automating the retrieval, summarization, and embedding of OEM maintenance videos using the Generative AI Video Intelligence API and fine-tuned LLMs within Vertex AI. This allows Arrow’s platform to intelligently route high-value instructional content directly into dealer workflows, connecting service insights with market intelligence.
Bitstrapped ensured the full solution runs seamlessly on TPU-backed compute, with model orchestration handled through Vertex AI Model Garden and in-database ML scoring in BigQuery. The result is a scalable, cost-efficient, and real-time intelligence platform that establishes a new standard for data-driven decision-making in heavy equipment industries.
Delivering Real-Time Market Intelligence at Scale
Arrow’s AI-powered platform delivers the speed and visibility that the equipment industry has long lacked. Real-time data flows enable instant valuation updates, demand forecasts, and inventory insights across more than 40,000 dealer domains, giving users an unprecedented view of market movement and asset performance. With automated data ingestion, predictive analytics, and natural-language querying, Arrow has turned market intelligence from a static report into a living, interactive capability. Engineered by Bitstrapped, the platform equips Arrow and their customers with the intelligence, agility, and confidence needed to navigate high-value markets.
By combining Arrow’s industry expertise, Bitstrapped’s AI engineering, and Google Cloud’s scalable infrastructure, this collaboration has redefined how organizations buy, sell, and manage high-value assets. The platform delivers a smooth, data-driven procurement experience: one that feels effortless from insight to transaction, while providing the intelligence, speed, and reliability required for big deals. Together, we prove that even the most traditional industries can be transformed by innovation.