Intelligent Enterprise

Intelligent Enterprise – Control Tower is a gamut of solutions running on the Azure Platform designed to solve the overarching industry problems in the supply chain for Manufacturing, Retail, CPG and Pharma.

It unifies all relevant business units into one cloud-based, connected platform that in turn provisions better-informed decisions that maximise profitability.

Modules of Intelligent Enterprise

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SAP Data Lake/Data Warehouse On Synapse

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Intelligent Demand Sensing

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Trade Promotion Offer Analytics

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Integrating Forcasting and Replenishment

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Inventory Optimization and management

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Route Optimization

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S & OP on Power BI

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Intelligent territory Engagement

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Customer Insights

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Product to Product Cannibalization

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Constraint Based Optimization

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Pricing Analytics

The IE-Control Tower is built on Power BI and hence delivers the most intuitive UX available in the industry. The solution is designed to help businesses slice and dice the possible outcomes and then cross correlate within the different organizational cuts. The Supply Chain solution is designed to provide fundamental supply and demand drivers with multi-hierarchy KPI levels with transparency and collaboration.

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Demand Sensing: Using real-time data, automation and machine learning algorithms, the IE-Control Tower application allows daily forecasts that reflect current market realities. The application is placed at the center of the demand-driven digital innovation landscape of a global organization. The solution aims at exploring the demand drivers through advanced AI and collaboration.

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Flexible user experience with ability to self-serve for the Business

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Data Integration with SAP, Dynamics for organization-wide cross analytics

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Higher accuracy with state of the art Deep Learning Platform

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Ability to take quicker actions with recommendation hand holding

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Advance planning with Flexible data model with no - One size fits all strategy

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Our Intelligent Enterprise Solutions Success Stories

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A global retail giant struggled with supply chain inefficiencies, including stockouts and excess inventory. We implemented a Supply Chain Control Tower that integrated data from suppliers, distributors, and retail locations. It utilized AI-driven predictive analytics to optimize inventory levels and distribution routes. This resulted in achieving a 20% reduction in stockouts, a 15% decrease in excess inventory, and improved on-time deliveries.

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Boost efficiency and profitability by transforming into an Intelligent Enterprise.
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