The AI That Saved Valentine's Day: A Blueprint for Peak Demand

VODNJAN, CROATIA – June 25, 2026 – For any e-commerce business, the seasonal surge is both a blessing and a curse. The flood of orders during holidays like Valentine’s Day or Mother’s Day can make or break a company’s year, but it also places an almost unbearable strain on customer service infrastructure. The traditional solution has been a costly, inefficient cycle of hiring and training temporary staff, only to scale back down when the rush subsides.

Floward, a leading online flower and gifting company operating across the Middle East and the UK, faced this exact dilemma. Built on a promise of same-day delivery for life’s most important occasions, the company’s success hinges on flawless execution during these intense peak periods. A delayed response or a fumbled order isn't just a logistical error; it's a missed moment for a customer. Rather than accepting the 'more volume means more headcount' equation, Floward partnered with global cloud communications firm Infobip to fundamentally re-engineer its customer service, demonstrating a powerful new blueprint for resilience and growth. The result: a system that handled 13 times its normal conversation volume, slashed costs, and actually increased customer satisfaction during its busiest day of the year.

Beyond Scaling Headcount

The transformation at Floward offers a tangible look at a future where scaling service doesn't automatically mean scaling human teams at the same rate. By implementing Infobip’s AgentOS platform, Floward proved that strategic automation can handle extreme volume while elevating the quality of customer interactions.

“One of the biggest achievements of this transformation was proving that scaling customer service no longer means scaling headcount at the same rate,” said Lujain Mallosh, Customer Care Senior Manager at Floward. The numbers bear this out. On Valentine’s Day alone, the system managed a staggering 54,000 customer conversations. This was achieved while reducing overall customer service costs by 15%.

More impressively, this efficiency did not come at the expense of quality. Floward consistently maintained a one-minute response time, meeting its service level agreement (SLA) 95% of the time. This level of performance during an extreme peak led to a remarkable 12-percentage-point increase in its Customer Satisfaction (CSAT) score. In an industry where peak demand typically correlates with longer wait times and frustrated customers, Floward reversed the trend, creating a better experience when it mattered most. This achievement signals a strategic shift from a reactive cost center to a resilient, high-performing operational asset.

From Rigid Scripts to Autonomous Agents

The technology underpinning this success represents a significant leap beyond the rule-based chatbots that have become commonplace in customer service. Floward’s solution is built on what the industry terms "agentic AI"—autonomous AI agents capable of understanding goals, planning multi-step actions, and executing complex tasks. Unlike a traditional chatbot that follows a rigid, pre-programmed script, these AI agents can reason and adapt.

Working with Infobip, Floward deployed a multi-agent system on the AgentOS platform. Instead of a single, monolithic bot trying to do everything, this approach functions like a specialized team. One AI agent might be an expert in handling frequently asked questions, while another specializes in the complex logic of changing an order. A third could be dedicated to collecting a recipient's delivery address. These agents collaborate, passing context and control between one another to solve a customer's problem from end to end.

"Floward’s peak-season challenges are a textbook example of where agentic AI delivers the most value," noted Emir Kalem, Head of Customer Success EMEA at Infobip. The platform orchestrates these agents, seamlessly escalating a conversation to a live human agent only when a query requires a level of empathy or complex judgment the AI is not equipped for. This "human-in-the-loop" model ensures efficiency without sacrificing the critical human touch, and every human intervention provides valuable data to make the AI agents smarter over time. The entire solution, from design to deployment, was implemented in under two months, a testament to the platform's maturity.

Orchestrating the Modern Customer Journey

The impact is most visible in the redesigned customer journey, particularly on popular messaging platforms like WhatsApp. For a gifting company, one of the most common friction points is confirming the recipient's delivery address. Previously, this might have involved a clunky series of emails, phone calls, or website redirects.

Now, the process is elegantly orchestrated within a single WhatsApp chat. A gift recipient receives a message and is guided through a simple, interactive flow to provide their address. If they have a question mid-process—"Can I change the delivery time?" or "What is in the gift box?"—an AI agent can understand the context, pause the address collection, answer the question, and then seamlessly return the user to the task at hand.

This ability to manage multiple intents within a single, fluid conversation is what separates advanced AI orchestration from basic automation. It’s powered by a unified platform that combines the communication channel (WhatsApp), the customer data, and the AI agents into one cohesive system. By turning fragmented steps into a single seamless experience, Floward not only improves delivery accuracy but also enhances the end-user’s perception of the brand as modern, efficient, and user-friendly.

The Next Frontier: From Cost Center to Revenue Engine

Having stress-tested its new AI-powered infrastructure against the most extreme demand, Floward is now looking to expand its use beyond traditional customer support. The company plans to leverage the same Infobip AgentOS foundation for new, revenue-generating experiences, highlighting a crucial trend where conversational AI evolves from a defensive tool for cutting costs to a proactive engine for driving growth.

One of the first new features in development is an e-invitations service. Using the platform's orchestration capabilities, a host could manage an entire event workflow through chat. An AI agent could guide them through creating and sending invitations, automatically track RSVPs, send event reminders to guests, and answer their questions. Crucially, the system could then intelligently prompt the host or guests with relevant gift suggestions from Floward’s catalog, creating a natural and integrated upsell opportunity.

This move aligns with a broader industry push toward "conversational commerce," where the entire customer lifecycle—from marketing and sales to support and loyalty—is managed within the conversational channels customers prefer. By unifying customer interaction data on a single platform, AI agents can make highly personalized, proactive recommendations, transforming what was once a support ticket into a new sale. It's a vision of customer engagement that is not just responsive, but predictive and profitable. For companies like Floward, mastering the seasonal surge was just the beginning; the real prize is turning every customer conversation into an opportunity.