Agentic Applications: Transforming Customer Journeys for Brands
Blog post from Snowplow
Agentic AI applications, powered by large language models, are set to revolutionize consumer interactions with brands by managing entire workflows rather than optimizing individual tasks. These applications, whether task or persona-centric or workflow-centric, offer significant opportunities for brands to enhance customer journeys and foster loyalty. While most current agentic applications are business-facing and task-oriented, there exists substantial potential in developing consumer-facing, workflow-centric solutions that streamline complex processes such as meal planning, holiday booking, and health management. These applications facilitate more intuitive and collaborative interactions by removing tedious tasks and adapting to user feedback, ultimately differentiating brands in a competitive market. However, building these advanced systems requires robust real-time intelligence infrastructure to overcome the "cold start problem," where Snowplow Signals offers a solution by providing instant access to behavioral data to enhance customer understanding and interaction.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 5 | 2,167 | 325 | 120 | +47% |
| Real-time | 5 | 4,629 | 997 | 226 | +44% |
| LLM | 2 | 4,855 | 541 | 180 | +51% |
| Data Pipeline | 1 | 505 | 175 | 73 | +15% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.