PartsNow.AI launches an AI-driven platform transforming truck parts procurement, offering around-the-clock support and faster, more efficient service for fleets, repair shops, and distributors.
PartsNow.AI has entered the heavy-duty parts market with a pitch that is equal parts convenience and disruption: an AI-driven procurement tool designed to help fleets, repair shops, owner-operators and distributors identify and order truck parts more quickly.
Launched in March, the platform combines chat, voice and image recognition with a large parts catalogue and e-commerce functions. Users can describe a fault, speak a request, upload a photo or even submit a VIN, and the system then suggests likely components, checks distributor availability and pricing, and guides the purchase process.
The company was created by Steve Fultz, owner of Tennessee-based Knox Post Trailer Companies, and Manna Justin, chief executive of TalkRev and a long-time software developer. Together, they argue the system is not meant to displace experienced counter staff, but to support them by reducing routine search work and helping new hires become productive more quickly.
That matters in a sector where parts desks often face staffing pressure and customers do not always shop during business hours. Justin said the tool is intended to serve the mechanic or driver who needs an answer after hours rather than waiting until the next morning.
According to the company, the platform was built over the past year by TalkRev’s development team, which assembled product data from supplier sources, including printed catalogues, and combined it with Knox Post’s inventory database and Fultz’s distributor relationships. The system was tested repeatedly during development and then checked by people as the launch approached.
PartsNow.AI also learns from customer interactions, improving its ability to match requests with the right component over time. The founders say that, unlike a human counterperson, the system is available around the clock and can handle multiple voice interactions at once.
Looking beyond direct users, Fultz sees a wider commercial opportunity in distribution. In his view, a network of participating warehouses could allow an order to be routed to the nearest outlet with stock, opening the door to a more localised fulfilment model. Justin said a distributor-specific version of the platform could be deployed in less than a week and tailored with pricing rules, shipping settings and other controls.
The pair are also conscious that AI still makes many in the industry uneasy. Fultz said some distributors are wary of technology they believe may overtake familiar roles, but he sees PartsNow as a way to bring them into the market rather than push them out of it.
For a business built on technical know-how, that may be the central sales pitch: not that AI can replace parts expertise, but that it can make it available every hour of the day, to more people, with fewer delays.
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The article reports on the launch of PartsNow.AI in March 2026. Similar information has been reported by other sources, such as Overdrive on April 13, 2026 ([overdriveonline.com](https://www.overdriveonline.com/maintenance/article/15821809/new-truck-partssourcing-platform-with-ai-voice-chat-visualrecognition-assist?utm_source=openai)) and Indianapolis Today on April 13, 2026 ([nationaltoday.com](https://nationaltoday.com/us/in/indianapolis/news/2026/04/13/new-ai-powered-parts-sourcing-platform-launches-1/?utm_source=openai)). The earliest known publication date of substantially similar content is March 25, 2026, from a press release issued by the company. ([weeklyvoice.com](https://weeklyvoice.com/partsnow-introduces-a-new-ai-assisted-way-to-search-for-truck-parts/?utm_source=openai))
Quotes check
Score:
7
Notes:
The article includes direct quotes from Steve Fultz and Manna Justin. These quotes appear in the press release dated March 25, 2026. ([weeklyvoice.com](https://weeklyvoice.com/partsnow-introduces-a-new-ai-assisted-way-to-search-for-truck-parts/?utm_source=openai)) The exact wording matches, indicating potential reuse of content. The quotes cannot be independently verified from other sources.
Source reliability
Score:
6
Notes:
The article originates from Trucks, Parts, Service, a publication focused on the trucking industry. While it is a niche publication, it is reputable within its field. However, the content appears to be based on a press release, which may limit its independence. The press release was issued by the company itself, raising concerns about potential bias. ([weeklyvoice.com](https://weeklyvoice.com/partsnow-introduces-a-new-ai-assisted-way-to-search-for-truck-parts/?utm_source=openai))
Plausibility check
Score:
8
Notes:
The claims about PartsNow.AI's AI-driven procurement tool align with industry trends towards automation and AI integration in parts sourcing. Similar platforms have been launched recently, such as PartsTrader's Orderly in December 2025 ([partstrader.com](https://www.partstrader.com/news_updates/partstrader-launches-orderly-ai-powered-end-to-end-procurement-for-collision-repair-industry/?utm_source=openai)) and Algolia's Intelligent Auto Parts Solution in March 2026 ([algolia.com](https://www.algolia.com/about/news/algolia-introduces-new-intelligent-auto-parts-solution?utm_source=openai)). However, the lack of independent verification of the quotes raises some concerns about the accuracy of the specific claims made.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article reports on the launch of PartsNow.AI's AI-powered truck parts procurement tool, referencing a press release dated March 25, 2026. While the claims are plausible and align with industry trends, the heavy reliance on a single source and the inability to independently verify the quotes raise concerns about the content's objectivity and accuracy. The lack of independent verification and potential reuse of content further diminish the reliability of the information presented.