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Radometech

AI in "Food & Beverages"

The implementation of AI and ML in food manufacturing and restaurant businesses is already moving the industry to a new level, enabling fewer human errors and less waste; lowering costs for storage and transportation; and creating happier customers, quicker service, voice searching, and more personalized orders. 

Business Challenges

 

Food and beverage industry has undergone a series of changes in the last decade due to the rapidly changing behaviors of consumers, technological advancements and stringent regulations. Such factors have plagued the food and beverage industry with a series of obstacles. The growth of the global AI in food and beverages market is driven by factors such as dynamic changes in buying pattern of consumers who are opting to prefer for food that can be supplied fast, including food that can be available easily and at economical costs.

 

 

 

How can AI help?

Artificial Intelligence uses data obtained from past records by processing it using AI-enabled algorithms, so that the results related to sales can be predicted for a specified time. AI mainly assists the food manufacturers and retailers by helping them to understand their customers better. The companies will be able to identify the customers’ tastes and preferences, which would help them to predict the possible sales pattern for their products. With supply chain continuing to be a major struggle to cope up with in many F&B enterprises, AI can help bring about transparency in the working of enterprises by effectively managing the supply chain.

 

 

 

Use cases

Food Market Analysis: Knowing what dishes are the best choice to include on your restaurant menu is the key to increase revenue. Customer and market demands are changing very fast, so it is even more important to be one step ahead of the competition. AI/Machine Learning uses the Data Collection and Classification methods which understands the human perception of flavor and preferences, dividing users into different demographic groups and modeling their preference behavior or predicting what they want — even before they do.

 

Production Optimization: AI has huge potential to optimize production and uncover manufacturing facilities’ best operating points to meet and even exceed KPIs. Few of its applications could include faster production changeovers, educing the amount of time needed to switch from one product to another, and identifying production bottlenecks before they become a problem.

 

Waste Reduction: AI/Machine Learning based approaches to measurement and monitoring can have a huge impact on waste reduction. Rather than waiting until the end of a batch or cycle to check the quality of output, AI that uses real-time monitoring can identify anomalies as soon as they occur.

 

Supply Chain Management:  Algorithms based on Artificial Neural Networks can monitor and check the process of AI food delivery and goods tracking at every step, making it safer and providing transparency. Also, it makes pricing and inventory forecasts, which prevents extra costs.

 

Hygiene: AI has great potential for the optimization of the hygiene and cleaning tasks that are so critical for Food and Beverage facilities. AI-powered multi-sensor system can detect food residue and microbial debris on equipment in order to determine the optimal length of cleaning time.

 

 

 

 

 

 

Why choose us?

 

For today’s food manufacturing companies, finding ways to improve operations, make better decisions, and leverage innovative technology is essential to growth and remaining competitive. 

 

We at RadomeTech believe AI is crucial for every business entity. Thus we have a developed a tool which lets the user have the power of Artificial Intelligence and Machine Learning !

Get Started

Copyright Radome Techologies and Services Pvt Ltd 2020

Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.
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Use Cases

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.
READ MORE

Load More

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

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Load More

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Read more

Load More

Prognostic Health Monitoring

Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.

Asset health monitoring, AI, prognostics, diagnostics, predictive maintenance

Read more

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TELECOMMUNICATION

According to sources, 19% of Telecom companies are adopting AI by 2023 and 58% of Service providers see AI crucial for Network Management.

ANALYSE PERFORMANCE DATA
AUTOMATION OF NETWORK MANAGEMENT
SPOT ANOMALIES IN NETWORK TRAFFIC
IMPROVE NETWORK CAPACITY PLANNING

OIL & GAS

Oil  & gas is one of the most lucrative industries, it is also one of the most dangerous. According to experts, 50% of Oil & gas industries say they have already begun AI to help solve challenges at their organisations.

OPTIMIZE PRODUCTION AND MAINTENANCE COST
ENHANCE QUALITY ASSURANCE
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DEFECT DETECTION
ABILITY TO MAKE BETTER DECISIONS

REAL ESTATE

Experts believe that 16% of the Real Estate companies are adopting AI in their businesses by 2023 and are expected to see a marginal profit of around 50%

IMAGE RECOGNITION & ANALYSIS
ANALYSE PATTERNS
RISK FORECASTING
OPTIMIZE SCHEDULES
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What we do.

We craft unisex leather bags and accessories for those, who appreciate premium handmade products, durable quality and urbane style.

AI for Healthcare

In the complex world of Healthcare, AI tools can support healthcare providers to provide faster service, diagonse issues and analyse data to identify trends or genetic information that would predispose someone to a particular disease.

AI ASSISTED MEDICAL DIAGNOSIS
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MEDICAL RISK PREDECTION
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AUTOMATED WORKFLOW ASSISTANCE
MEDICAL IMAGE ANALYSIS
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Use Case

Aircrafts require a vast spectrum of parts to operate ranging from high cost repairable parts to low cost fast moving consumables Apart from the fact that certain parts are highly expensive, failure to have the necessary part readily available can also translate into expensive AOG (aircraft on ground) incidents.

Manufacturing

Experts believe that about 40% revenue boot will be there upon adopting to AI in Manufacturing. Around 50% of the manufacturers are planning to Invest on AI for their processes.

DETECTS FAULTS
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REDUCE UNPLANNED DOWNTIME
PREDICTIVE MAINTENANCE
Quality control

Retail

According to sources, 85% of customer interaction in retail will be managed by AI by 2023 and a revenue growth of 10% on adopting AI in the business process.

DEMAND FORECASTING
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SUPPLIER PERFORMANCE PREDECTION
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OPTIMIZE INVENTORY
ROUTE OPTIMIZATION