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79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more ![]()
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75% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more ![]()
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Description | Bringoz is a modular solution that helps shippers and carriers streamline logistics processes through its end-to-end, scalable delivery infrastructure. One of Bringoz’s key features is its Demand Handler, which helps companies provide more flexible and quicker delivery options, as well as minimize missed deliveries, and improve second attempt delivery success rates. Bringoz’s planning and scheduling functionality helps automate the planning and dispatching processes, as well as optimizing routes with real-time re-routing and dynamic re-routing capabilities. It also enables flexible allocation of resources, such as 3PLs, owned assets, and crowdsourced assets). Its monitoring and visibility capabilities help shippers and carriers to better track and monitor deliveries through its reports and insights. Bringoz provides customer satisfaction and risk alerts and notifications in real time. It can help reduce time to delivery, and thus improve customer satisfaction. It’s suitable for a variety of industries, including food, ecommerce, retail, furniture, freight, healthcare, auto parts, and consumer electronics. Read more | MLmargin is an AI-powered programme that automates Supply Chain Management by anticipating demand and recommending replenishment. It is a cutting-edge technology that reduces stock-outs and optimises prices. This software increases profit by automating the supply chain and initiating customer satisfaction. For demand forecasting, MLmargin uses machine learning models to provide weekly or monthly demand predictions for each SKU. Furthermore, dedicated optimisation models combine the demand forecast, storage costs, lead times, and sales price for a perfect replenishment decision. Moreover, MLmargin’s optimisation models do combine the sales margin, macroeconomic indicators, demand forecast, and price elasticity for a perfect pricing decision. A REST API is also given to provide a smooth data flow and user experience. MLmargin employs probabilistic optimisation methods that are fueled by reinforcement learning. Reinforcement learning is a common Artificial Intelligence approach. It teaches machine learning models to make a large number of decisions in an uncertain environment and reach the best possible result. Read more |
Pricing Options |
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SW Score & Breakdown |
79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
75% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
Total Features |
8 Features
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5 Features
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Common Features for All |
Barcoding (RFID)
Cost Tracking
Inventory Forecasting
Inventory Optimization
Inventory Overview
Order Entry
Purchase Order Management
Shipping Management
Traceability
Transfer Management
Warehouse Management
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Barcoding (RFID)
Cost Tracking
Inventory Forecasting
Inventory Optimization
Inventory Overview
Order Entry
Purchase Order Management
Shipping Management
Traceability
Transfer Management
Warehouse Management
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Organization Types Supported |
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Platforms Supported |
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Modes of Support |
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API Support |
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Pricing Options |
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Pricing Plans
Monthly Plans
Annual Plans
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Bringoz Custom |
Small Others Medium Others Enterprise Custom |
View Detailed Pricing
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View Detailed Pricing
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Screenshots |
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+ 4 More
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Not Available |
Company Details | Located in: Tel Aviv, Israel |
Not available |
Contact Details |
Not available |
Not available |
Social Media Handles |
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