“We built Papermap for a simple reason: most merchants aren't short on data, they're short on answers. Their numbers live across their storefront, their accounting system, and their ad platforms, and pulling it together by hand takes hours nobody has. The brands getting ahead right now are the ones using AI to close that gap — without hiring a data analyst or learning a BI tool. Partnering with SHOPLINE puts that in reach for merchants at the exact stage where those answers start to matter most."”
- Isaac Sarfo, Co-Founder & CEO, Papermap
Papermap is an AI-native data platform designed to give lean teams a built-in data analyst. It connects data from storefronts, accounting systems, advertising platforms, marketplaces, spreadsheets, and databases in one workspace, then lets business users ask questions in plain English and receive verifiable answers.
The platform is built for multi-channel operators who own the P&L but do not have a dedicated data team. These businesses have often outgrown spreadsheets as a source of truth, yet do not need the complexity or cost of a traditional enterprise analytics stack.
Growing merchants rarely lack data. The problem is that the data lives in separate systems, each showing only one part of the business.
A merchant selling through a SHOPLINE storefront, a physical location, wholesale, and marketplaces may need to open several platforms and reconcile the numbers manually to answer a basic question such as, “What is my actual blended margin?” The same problem affects decisions about pricing, inventory, customer acquisition, returns, and fulfillment.
This manual work takes hours, introduces errors, and often forces teams to act on incomplete information. Traditional business intelligence tools can solve parts of the problem, but many still require SQL knowledge, technical configuration, or a dedicated analyst to operate them.
Papermap partnered with SHOPLINE because its merchant ecosystem includes the growing multi-channel businesses the platform was built to support. These merchants generate meaningful data across commerce, marketing, finance, and operations, but may not have an analyst available to connect it all.
The integration brings Papermap into the platform merchants already use to run their storefront. SHOPLINE data becomes one connected source alongside the rest of the business, helping merchants move beyond isolated storefront reporting toward a complete operational view.
Merchants connect their SHOPLINE store directly to Papermap, where store data syncs into a shared workspace. They can then combine it with sources such as QuickBooks, Meta, TikTok, Google Ads, Amazon, Google Analytics, spreadsheets, and databases.
From that workspace, merchants ask questions in plain language. Papermap’s AI agent writes and runs real code against the connected data, returns the answer, and shows the underlying work, including the source rows. Answers can be saved as live dashboards, updated automatically, and used to power recurring workflows.
Papermap is designed around the operator with a business question, not the analyst with a query to write. No SQL, Python, or business intelligence training is required to begin exploring connected data.
That changes the questions teams can answer in the moment. Instead of waiting for a weekly report or manually rebuilding a spreadsheet, a merchant can investigate which channels are driving profitable growth, where margin is leaking, how ad performance connects to inventory, or which products are creating the highest lifetime value.
For decisions involving pricing, inventory, and profitability, a plausible-looking answer is not enough. Papermap differentiates its approach by showing how each result was produced.
The agent executes code against the merchant’s data and exposes both the analysis and the underlying source rows. This gives teams a way to check the work before acting on it. Papermap is also model-agnostic, allowing the platform to work across leading AI models while keeping the merchant’s connected data and setup consistent.
By combining SHOPLINE data with the rest of the business, merchants can:
Papermap's work with Congo Clothing shows what a connected data function looks like for a growing multi-channel brand. Congo Clothing sells across e-commerce, a retail location, and B2B — with data living in their ecommerce store, Square, HubSpot and QuickBooks. As founder Milain David Fayulu describes it, the reality before Papermap was "multiple windows and tabs open and switching between platforms to get access to data, information to reconcile it," and building his own dashboards and spreadsheets so the disparate information could live in one place. Getting blended gross margin across his B2C and B2B verticals meant opening each platform separately and doing the average by hand. With Papermap, he says, "the system will give that to me in a fraction of a second."
While each merchant’s results will depend on its data, systems, and workflows, the example reflects the operational goal of the SHOPLINE integration: return time to lean teams and make reliable business answers available when decisions are being made.
Papermap is available through the SHOPLINE App Store. Merchants can connect their store data, add other business systems, and begin building a connected workspace for cross-channel analysis and reporting.
Explore Papermap for SHOPLINE or view the app listing to get started.
As multi-channel commerce becomes more complex, merchants need more than another dashboard. They need a reliable way to connect the information already spread across the business and turn it into decisions.
Through the SHOPLINE partnership, Papermap is making that capability more accessible to growing merchants, helping lean teams spend less time assembling reports and more time acting on what their data is telling them.
Papermap is an AI-native data platform that gives lean teams a built-in data analyst. It connects scattered business data in one workspace and lets users ask questions in plain English, receive verifiable answers, build live dashboards, and automate recurring reporting without SQL or a dedicated data team.
Learn more at papermap.ai.
App Store: View the Papermap listing
Website: papermap.ai
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