Fashion
Our Fashion ERP software created by top industry experts, It is the best ERP software for Apparel manufacturing that wish to scale and optimize their ventures. As an end-to-end manufacturing management software, It automates all key business processes from designing to production, from quality control to packaging and from Sales to Remittance.
ERP Modules for Manufacturers, Whole Salers & Retailers
Fashion Industries, Fashion Jewelry Industries, Foot Wear Industries, Head Wear Industries, Leather Industries, Furniture Industry, Office Supplies Companies
Main benefits of implementing machine learning in manufacturing
- Style Master and Line Sheet (With Picture of the Garment)
- Cost Sheet and Spec Sheet
- Sales Order Entry and Processing (With Picture of the Garment)
- Invoicing/ Pick Ticket/ Packing Slip (With Multi Select Feature)
- Cutting Ticket Processing and Work in Process Reports
- Bill of Materials/ Cost Sheet
- Raw Material Requirement Reports
- Purchase Order (Fabrics, Trims)
- Customer Information Maintenance (Mail Merge Letters, Labels)
- Accounts Receivable
- UPS Shipping (COD Tags, Shipping Labels)
- Inventory Management (Finished Goods and Raw Materials)
- Management Reports
We will guide you through the entire process, from consulting the appropriate technology for your company’s needs to building solution and implementing it in your existing infrastructure.
Challenges
Mining companies can take numerous advantages from replacing manual labor with automation
First, when it comes to analysis samples, smart algorithms deliver more reliable results in a much shorter time compared to traditional methods.
Second – image recognition can automatically determine the type of discovered minerals saving time and effort for onsite workers.
Third – automated vehicles and network that consist of intelligent sensors significantly increase safety in work environment ultimately leads to cut costly delays in operational processes.
Increase productivity with AI
Artificial intelligence that shifts raw materials mining from a people-oriented operation to a process-oriented one is critical to upgrading accuracy, error elimination, and faster decision-making processes.
Solutions
New opportunities
Machine learning and computer vision make it possible to automatically determine the rock samples, and drilling data can examine the type of discovered minerals with the highest high level of accuracy. Reducing the amount of human labor (people no longer need to collect data physically) helps mining operators cut operational costs.
Mining operators can take advantage of embedded sensors
They can install automation tools to remotely control their assets and design automated-triggered scenarios and interactions that should occur under certain conditions. Specifically, Automated Guided Vehicles are gaining more and more recognition in the mining industry.
Mining vehicles, drones, autonomous drilling systems, and hauling fleets simultaneously increase safety in the work environment and operations productivity.
Reduces the need for human presence
Automating mobile assets equipped with wireless sensors that can gather data reduces or removes the need for human presence on-site, leading to increasing workforce safety.
Moreover, predictive analysis and insights conducted by AI solutions such as remote sensors allow mining operators to foresee better and prevent any dangerous incidents. A sophisticated AI-based tracking system, enabled with wireless-connected devices, provides operators with the capabilities to coordinate workers and – if necessary – warn them not to go to certain areas.
The supply chain is a crucial success factor in creating a superb customer experience.
No other factors could cover the last-mile disruptions preventing customers from getting what they paid for as soon as possible. A smooth and seamless supply chain increases the organization’s efficiency and improves customer satisfaction.
However, typically the supply chain was also the most vulnerable stage of a business’s workflow because of the variety of factors that could potentially influence the whole process. AI, yet, could tame them by releasing potential bottlenecks.
AI algorithms analyze the entire array of multi-sourced data (such as warehouse locations, product flows, demand forecasts, planning, scheduling of manufacturing operations, and so on) to enable businesses to establish the best possible process.