A dynamic analytics platform integrated with Oxium Tech’s Model Control Protocol gave Lazza’s teams a self‑service, conversational interface to explore raw data, export reports and plan production – without needing data‑science expertise.
Lazza Icecreams
May 22, 2025
Transforming production intelligence for India’s favourite ice cream brand
Lazza Icecreams operates in a fast‑moving consumer goods (FMCG) environment where the velocity of product movement directly impacts production schedules. We built a dynamic analytics platform so Lazza’s analysts could understand sales patterns and the production team could plan manufacturing. However, users struggled to export data or configure their own insights. Every custom query required support from our data‑science team, slowing down decisions
Traditional dashboards left teams stuck they had data but not insight
Before integrating MCP, analysts relied on static dashboards. While the platform captured product movements, it offered limited interactivity: there was no easy way to export data or adjust metrics. Production planners needed to see trends at a granular level but lacked the tools and analytics knowledge. As a result, operations depended heavily on Oxium’s experts, causing delays and limiting the platform’s value
MCP empowered Lazza’s teams with AI‑driven analytics and intuitive data discovery
We addressed these challenges by interfacing the analytics platform with Claude AI and creating a dedicated MCP Server. This server connected the dashboard to the large‑language model, enabling users to:
Chat with the data: ask natural‑language questions and receive contextual insights, summaries and comparisons.
Generate reports and exports on demand: produce sales and production reports in formats suitable for planning and share them across teams .
Configure their own metrics: set parameters such as time ranges, product categories and regions without coding.
Perform ad‑hoc analysis: uncover hidden patterns in unsorted data and iterate without waiting for expert assistance.
To ensure sustainability, we built an MCP Host incorporating domain knowledge of FMCG and data science. Using Sonnet 4.5 models, the host continuously adapts to changes in analysis procedures and metrics. Even when Lazza updates how they evaluate performance, the MCP Host autonomously integrates new logic, reducing the need for manual support.
Post‑implementation, the platform delivered measurable impact
Improvement | Improvement |
|---|---|
Production planning accuracy | ↑ 22 % – better alignment between demand and output |
Time to generate reports | 60 % – analysts create exports in minutes rather than hours |
Dependence on Oxium support | 40 % – teams handle their own queries and insights |
Overall operational efficiency | ↑ 30 % – faster decisions and reduced waste |
By removing the barrier of tooling knowledge and replacing it with a conversational interface , Lazza Icecreams unlocked the full potential of their data.
Lazza Icecreams became a data‑empowered producer, not just a manufacturer
What began as a data‑collection exercise evolved into a collaborative decision engine. With AI‑driven analytics at their fingertips, Lazza’s teams no longer wait for reports – they explore, ask, iterate and act. The integration of MCP makes the analytics platform not just a tool, but a virtual data‑science partner that democratizes insights across the organization
Ready to unlock the power of your data?
Businesses scale with AI and analytics, Oxium Tech Consultancy can help you turn raw information into actionable intelligence. Partner with us to design your own MCP‑enabled platform and transform decision‑making across your organization.
