In the competitive promotional products market, timing is everything. cocos GmbH faced the challenge of silent customer churn: inactive or switching B2B customers were only recognized in day-to-day operations when orders had already stopped coming in.
Furthermore, manually researching relevant sales triggers—such as company anniversaries or location openings—cost the sales team too much time. Strict ESG requirements, like plastic-free preferences, were difficult to incorporate seamlessly into the fast-paced quoting process. The company needed to proactively steer their sales activities.
Swiftron provided a fully proactive Predictive Sales Engine. Rather than requiring complex integrations, the foundation model learned directly from a simple CSV export of past orders to understand individual B2B purchasing cycles.
The AI transforms this historical data into highly personalized, automated newsletters. By calculating the perfect purchase window, the system ensures these campaigns reach each customer at the exact right timing—right before they are most likely to buy.
Instead of just promoting past purchases, the model strategically introduces highly relevant new products the customer has never bought before. This empowers the company to proactively steer their outreach, increasing immediate revenue while actively building long-term customer loyalty.
"By enriching our transactional foundation model with automated web intelligence, we didn't just predict the next product—we predicted the exact real-world event that triggers the purchase."
Transform your historical ERP data into a proactive sales engine. Let us evaluate your data foundation to see how our foundation model can prevent churn and boost your cross-selling conversion rates.