Blending AI-Powered Insights with Operational Excellence in Food & Beverages

Pricing Analytics & Trade Promotion
Inventory & Supply Chain Optimization
Sales & Customer Sentiment Analysis
Quality Control & Assurance
Procurement Process optimization

Drive sales and enhance brand awareness by determining the right discounts & managing the pricing strategies

Estimate true lift and cannibalization impact of promotions with event modeling,
Let seasonal decomposition and price optimization models determine optimal discounts.
Aligned your pricing strategies with consumer behaviour through Price elasticity modeling, Conjoint Analysis, and Demand Forecasting.

Confront the consequences of neglecting pricing and master pricing with analytics techniques

Pricing Analytics

Sync production seamlessly with market demand through precision inventory and supply chain optimization

Minimize stockouts & overstocking by forecasting dynamically with demand sensing.
Multi-echelon inventory management ensures optimal inventory levels at each stage of supply chain.
Create best-in-class S&OP designs for collaborative plan and unified results.

Know how you can have a gradual AI transformation starting from descriptive analytics to self aware AI

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Craft lasting connections with consumers through Brand trust, sleek design, and energy efficiency with insightful analytics

Use SPC & text mining to detect abnormal patterns in warranty claims and service data.
Predict model popularity using AI enabled Market Mix Modelling.
Adjust omnichannel marketing effort dynamically with Real-time analytics.
Ensure cross-functional collaboration with connected planning.

Ride the Sales analytics bandwagon by building a roadmap to future-fit sales analytics

Elevate your Sales Strategy

Ensure real-time monitoring, predictive defect prevention, and supplier quality assurance for unparalleled product excellence

Get 100% visibility with intuitive dashboards and IIoT platforms assessing efficiency metrics like OEE.
With condition-based monitoring, continuously assesses equipment health to trigger maintenance interventions proactively.
Not just RCM and FMEA, use anomaly detection techniques to minimize overall downtime costs.

Enhance master data quality with analytics and real-time observability

Data Observability Guide

Polestar Analytics excels in extracting and enriching data from ERPs, procurement systems, and third-party sources for advanced procurement analytics. This includes:

Contract analytics for compliant purchases at negotiated prices.
Utilizing diverse and sustainable vendors when available.
Executing procurement operations efficiently for an optimal buying experience.

High operational costs pose a challenge, but analytics can help cut these expenses

Demand Planning Analytics

Procurement Efficiency and Process Optimization

Leverage predictive power to streamline stock and spoilage

Eliminate stockouts, reduce waste. Boost profits. With effective inventory management you can bring dynamism and transparency to your supply chain operations. Discover ways to:

Store locator & Visibility dashboards
AI-powered Demand forecasting
Dynamic Route optimization
Distribution Reporting & more

Put a stop to your inventory complexities

Leverage predictive power to streamline stock and spoilage

Elevating F&B Operations: From Forecast to Fork

At Polestar Analytics, we bring carefully curated insights using statistical techniques and ML models to uncover trends and correlations for pricing optimization, customer behavior, bottling efficiencies, and more.

We work have worked on activities related to:

Demand Forecasting, Automation, & Trade Promotion
Data management & reporting capabilities
Operational Efficiency gains with Secondary Claims
Automation of key planning activities for customer segmentation, S&OP, financial, and volume planning

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25% improvement in accuracy enhanced demand forecasting

99.8% reduction in the time taken to access T-1 reports

25% Increase in distributor satisfaction score

35% Increase in efficiency due to automation

Accelerators to propel your Food & beverages journey

Procurement 360

Solutions

Procurement 360

Budget builders to provide a collaboration workspace in developing annual budgets
Supply solver for reviewing supplier quality, delivery, price performance all at once
Variance vision to aggregate information for consolidating volume and price variance

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Solutions

Profit Pulse

AI-based Marketing Mix Engine attributes sales, measures uplift, and optimizes marketing spend across pricing and media.
XAI+ Forecasting Engine provides insights into both linear and non-liner impacts.
Retail Recommendation & Promotions Engine customizes product mixes for upselling.

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Curated insights for latest Food and Beverages Analytics solutions

FAQs about our Food & Beverages Data & AI Services

1. How can statistical process control (SPC) be implemented in the food industry to maintain consistent product quality?

Implementing statistical process control (SPC) starts with identifying critical control points (CCPs) such as temperatures and pH levels, setting precise quality standards, utilizing statistical tools like control charts and Pareto analysis for data analysis, establishing control limits based on historical data or industry standards, monitoring process performance rigorously, promptly taking corrective action when deviations occur, emphasizing continuous improvement through data-driven insights, conducting thorough employee training on SPC principles, and maintaining documentation of SPC activities for regulatory compliance and process optimization. This comprehensive approach ensures that Polestar Analytics maintains stringent quality control measures, complies with industry regulations, and continuously enhances its food production processes.

2. What key parameters boost efficiency in implementing advanced process control (APC) in food production?

Polestar Analytics, as a data analytics company, can enhance efficiency in implementing advanced process control (APC) by focusing on data integration, predictive modeling, real-time monitoring, automation, optimization algorithms, scalability, and performance metrics. By focusing on these key parameters, Polestar Analytics can develop customised APC solutions that optimize production processes, minimize waste, and improve overall efficiency in F&B production operations.

3. Can Polestar Analytics integrate its analytics solutions with existing IT infrastructure, and how seamless is the integration process?

Certainly, Polestar Analytics excels in seamlessly integrating its analytics solutions with your existing IT infrastructure. The integration process is designed to be efficient, and we have achieved an average reduction of 25% in implementation time. This ensures a smooth and hassle-free transition, with a track record of successful integrations for over 238+ clients. Our team is dedicated to providing a robust and well-coordinated integration experience with 949+ successful integrations that aligns with specific needs and requirements.