Enhancing Digital Channel Performance with Gen AI for a Global Snacks Company

Overview

A global leader in the snacks industry, with a portfolio of iconic brands and products, faced challenges in deriving timely insights from multiple data sources. The Client partnered with ACL Digital to implement a Gen AI–powered solution that enabled efficient insights mining and improved access to analytics for sales teams.

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Challenges

Limited Analytics Coverage

Despite multiple marketing research and survey inputs, data analytics could only provide insights for 5–7 channels due to bandwidth constraints.

Time-Consuming Insight Mining

Close to 10 divisions working independently led to siloed information and inefficiencies.

Delayed Decision-Making

Several channels were unable to receive timely inputs, impacting responsiveness and performance.

Solution

ACL Digital implemented an OpenAI-powered solution with a scalable, performance-optimized architecture, integrated automation frameworks, and continuous monitoring to ensure reliable and efficient insights mining.

Secure Data Pipelines: Real-time processing of multiple data formats, including videos, audio, PPTs, and PDFs.
Intelligence Layer: Leveraging LLMs and cognitive services to extract, structure, and prioritize insights from unstructured datasets.
Embeddings and Generation: Implemented embeddings using Llama models and content generation powered by GPT-4 for contextual insights.
Vector Database: A highly scalable storage and retrieval layer built on Databricks for efficient semantic search and data access.
Chat and Search Interface: An intuitive interface enabling sales teams to query data and retrieve insights instantly.
Content Generation: Automated generation of insights, emails, text summaries, and PPT-ready outputs.