Proaction has increased its sales by 60% and cut operational hours by more than 75 hours, according to an OpenAI Blog post. The company attributes the gains to its use of OpenAI’s Codex, GPT‑Live‑1, and GPT‑6 Astra, which it applied to build, operate, and sell modern fleet management solutions more quickly.

In the blog, Proaction explains that Codex was used to accelerate coding tasks, while GPT‑Live‑1 helped automate real‑time data analysis and customer support. GPT‑6 Astra further streamlined backend processes, allowing the team to focus on feature development rather than routine maintenance. By integrating these tools, Proaction reduced the time spent on repetitive tasks, freeing up staff to drive sales initiatives.

The 60‑percent sales lift and the 75‑plus hour savings illustrate how language‑model technologies can translate into tangible business metrics. For a company whose core product revolves around fleet management—an industry that demands rapid deployment and continuous improvement—the ability to shorten development cycles and reduce labor overhead is especially valuable.

Looking ahead, Proaction intends to deepen its use of the OpenAI platform, exploring additional applications such as predictive maintenance and advanced analytics. The company’s experience suggests that continued investment in these technologies could sustain its growth trajectory and set a new benchmark for operational efficiency in the fleet‑management sector.