The AI agent 'Cris' analyzes the sales funnel, suggests improvements, and provides benchmarking for iFood partner restaurants — all via conversational interaction on WhatsApp.
17 de dezembro de 2025
7 min read
Source: tiinside.com.br
10K+
Restaurants
AI
Conversational Analytics
GMV
Funnel Analysis
iFood launched "Cris" — an AI agent on WhatsApp that acts as a virtual mentor for partner restaurants. Cris analyzes sales funnel data, cancellation rates, customer reviews, GMV, and other operational metrics, providing personalized and actionable suggestions to improve performance on the platform.
With over 10,000 establishments already testing the solution, Cris represents a new category of AI agents: analytical agents that transform complex data into simple and actionable conversations.
10K+
Restaurants
AI
Conversational Analytics
GMV
Funnel Analysis
Most iFood partner restaurants are small and medium-sized businesses whose owners don't have data analysis teams or BI tools. Although iFood generates a wealth of data about each restaurant's performance (conversion rate, cancellation rate, customer ratings, delivery time, GMV), this information was often underutilized.
The challenge was to democratize access to data-driven insights, making analytical intelligence accessible to any restaurateur — regardless of their level of technical sophistication.
Cris was designed as an analytical conversational agent that operates via WhatsApp. Its capabilities include:
- Complete sales funnel analysis (impressions → clicks → orders → completion) - Identification of improvement opportunities with specific suggestions - Competitive benchmarking against similar restaurants in the same region - Cancellation and review monitoring with root cause analysis - GMV projections based on trends and seasonality
Interaction is natural: the restaurant owner can ask "how were my sales this week?" or "why are my cancellations increasing?" and Cris responds with contextualized analysis and actionable recommendations.
The agent learns each restaurant's history, personalizing suggestions over time and tracking the implementation and results of previous recommendations.
With more than 10,000 establishments in the testing phase, initial results include:
- Increased engagement of restaurants with their own performance data - Improved conversion rate for restaurants that follow Cris's suggestions - Reduction in cancellations through proactive problem identification - Greater satisfaction of partner restaurants with the iFood platform
The analytics-via-conversation model proved highly effective for an audience that previously had no access to data-driven insights.
Catalisa enables the creation of AI agents with access to analytical data — agents that connect to databases, BI systems, and APIs to transform complex data into simple and actionable conversations.
With Catalisa's Building Blocks, it's possible to integrate with analytical data sources, while AI Agents can be configured to perform funnel analysis, benchmarking, anomaly identification, and personalized recommendation generation.
The entire experience can be orchestrated via the visual Studio, with Workflows that define when and how the agent should proactively reach out to the user with relevant insights.
TI INSIDE. “iFood lança agente de IA no WhatsApp”. tiinside.com.br. Disponível em: https://tiinside.com.br/05/08/2025/ifood-lanca-agente-de-ia-no-whatsapp/. Acesso em: 27 fev. 2026.
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Source: mobiletime.com.br
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