List of Fishbowl Integrations
This is a list of platforms and tools that integrate with Fishbowl. This list is updated as of February 2026.
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Built2Buy
Dotcomjungle, Inc.
Revolutionizing wholesale ordering for effortless dealer experiences!Built2Buy is a powerful wholesale ordering platform tailored specifically for wholesalers, manufacturers, and distributors looking to simplify ordering and improve business efficiency. The platform replaces complicated ordering processes with a clean, easy-to-use interface that significantly reduces customer service calls and operational friction. Sales teams—whether in-house or remote—can place orders swiftly from any device, freeing them to focus on generating new business and strengthening customer relationships. The modular system allows companies to start with the core Dealer Module for quick implementation and expand capabilities as their needs grow. Built2Buy offers free setup for most clients, including hassle-free import of products, images, and vendor information, ensuring a fast launch within just one week. Administrators benefit from straightforward management of products, pricing, customers, and sales representatives, enabling peace of mind and operational control. The platform boasts an impressive client retention record of over 14 years, underscoring its reliability and value. With features designed around real user feedback, Built2Buy helps businesses increase revenue, save time, and boost productivity. Its ability to streamline phone sales processes can reduce order time by up to 75%, accelerating cash flow and customer satisfaction. Supported by Dotcomjungle, Inc., Built2Buy offers a scalable solution that grows with your business. -
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Pinch AI
Pinch AI
Empowering e-commerce with intelligent fraud prevention and seamless returns.Pinch AI is an advanced platform aimed at improving post-purchase analytics and addressing fraudulent activities within the e-commerce industry by helping retailers identify and prevent deceptive returns, resale tactics, and other manipulative behaviors. Utilizing machine learning, it analyzes various data sources such as purchase information, return patterns, logistics details, and consumer interactions to assess buyer motives, classify customers, and create tailored return policies that effectively reduce fraud while promoting positive experiences for repeat customers. This cutting-edge solution provides support teams with an in-depth understanding of each client, easily integrates with return management software, warehouse functions, shipping services, and online retail systems, and includes real-time dashboards that track crucial metrics like return rates, operational costs, and instances of abuse. Moreover, its dynamic methodology not only safeguards against dishonest actions but also nurtures customer loyalty by offering personalized rewards and improved return processes specifically designed for reliable buyers, thereby ensuring a balance between security and satisfaction. In a rapidly evolving e-commerce environment, such tools are essential for maintaining a competitive edge and fostering trust among consumers.
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