The CPG industry is in the middle of a data revolution. Brands that once relied on quarterly distributor reports are now building real-time analytics stacks to understand exactly what’s selling, where, and when.
Today’s tools for crunching that data have become remarkably powerful: AI agents, modern BI platforms, code-first analytics. However, the underlying problem hasn’t changed: the data still lives inside retailer portals that were never built to share it.
Evive Nutrition is a fast-growing healthy food brand sold across major Canadian and American retailers. Their team had already invested in a capable analytics stack. The bottleneck wasn’t analysis. It was getting the data out.
“With Deck, we can set the parameters we want for our sales reports, and the agent autonomously connects to each portal, produces the reports, and makes it available to our analytics agent by API.”
Dominic Dube, Evive Founder
The problem? Retail portals don’t just lack APIs, they actively block aggregation
Evive’s sales data is spread across several portals: KeHE, UNFI, Loblaw, Sobeys, dunnhumby, Amazon, and Target. Each has its own login flow, its own report generation UI, its own 2FA challenge, and its own anti-bot layer. None expose an API.
But the challenge goes deeper than missing integrations. Retailer portals enforce per-user licensing and deploy bot detection specifically to prevent automated data sharing. For a CPG brand trying to aggregate across distributors and retailers, the risk isn’t just a broken script: it’s being flagged and losing access entirely.
The team had tried building custom connectors. The reality was discouraging. Every portal behaved differently. Two-factor authentication meant a human had to stay in the loop to approve auth challenges. Retailer UI updates broke scripts unpredictably. And any automation that looked non-human risked triggering detection layers that could cut off access across the board.
Meanwhile, their analytics stack sat waiting for data that should have been arriving automatically.
“Replit and Claude are really good at crunching the data, but they fail to create connectors to the sources.”
Dominic Dube, Evive Founder
Deck handled portal access reliably, and without getting flagged
Evive integrated Deck to operate each retailer portal the way a credentialed human analyst would, without the human. Deck agents log in, handle MFA challenges end-to-end, navigate to the correct report section, set the right parameters, trigger generation, and download the output. The result is surfaced directly to Evive’s analytics pipeline via the Deck API.
Critically, Deck agents operate with session isolation, behavioral shaping, and fingerprint management, so brands get continuous data access without triggering the detection layers built to stop them.
Deck solved the three problems that had blocked full automation:
- MFA end-to-end: no human needed to approve authentication challenges
- Anti-bot countermeasures: agents that behave like credentialed users, not scrapers
- Consistent report generation: parameterized runs that produce the same output every time, regardless of portal UI changes
Within weeks, Evive’s analytics stack was running on fresh retail data pulled automatically across every portal. No manual intervention, no connector maintenance, and no flags.
Preparing for fully automated retail operations
Evive sees this as the beginning, not the end state.
The same agent pattern that pulls reports today extends to any portal they add to their retail footprint — Target, Amazon/Whole Foods, and beyond — without new connector work. As Evive expands distribution, their data infrastructure scales with it automatically.
The longer-term vision goes further: agents that don’t just retrieve data but act on it — updating product listings, managing promotional submissions, responding to compliance requests. All of this across the same portals, without a human in the loop.
How Deck powers Evive’s retail intelligence
When Evive’s analytics pipeline needs fresh data, Deck agents connect to each retailer portal in the background. They handle authentication, navigate the report UI, and deliver structured outputs directly to the analytics stack, ready for the AI agents and BI tools that turn raw sales data into decisions.
No manual pulls. No broken scripts. No 2FA bottlenecks. No flags.
For a lean CPG team, that means the people who should be reading the data are reading the data, not babysitting the infrastructure that collects it.
Results
- 7+ retailer portals automated
- 2FA and anti-bot handling removed from the critical path
- Zero connector maintenance overhead
- Real-time data delivery to existing analytics stack, no migration required
With Deck handling portal access in the background, Evive’s team can focus on what the data is telling them, and move faster because of it.