Spark was born from a team of engineers and development leadership at Fishbowl Inventory who saw a better path to address the complexities of inventory management. Seeing the pain points that e-commerce brands, wholesale distributors, light manufacturers, and 3PLs gave us a rare view into how operations teams actually live with their software and where they had to compromise. The systems counted stock reliably. What customers kept asking for was everything around the edges: custom reports that didn't require a consultant or a long wait, integrations with QuickBooks, Shopify, and Amazon that didn't need babysitting, and a system that could do more than track inventory. They wanted one that could answer the questions about what to order, when, how much and why.

Realizing these weren't shortcomings of any one product, but the natural limits of inventory software designed in the desktop era led to the birth and development of the Spark Inventory platform today.

Spark forecasts demand from a customer's own sales history layered with external signal that matter to their business, and explains its reasoning in plain language. Custom reports take seconds in the reports playground, not weeks with a consultant. Shopify, including in-store POS, and Amazon connect natively, so numbers stay current on their own. And through roughly 140 governed MCP tools, customers can connect the AI of their choice to run real inventory operations safely, with previews, approval gates, scoped credentials, and a full audit trail.

Getting started is where Spark really stands out from the competition. AI-powered import reads your existing data, whether it comes from a spreadsheet export or another system, maps it for you, and has you up and running in minutes instead of weeks. There's no implementation project and no setup fee. And if you ever want a second set of eyes, a real person who knows your account is a call away.