Industries

Manufacturing

This industry has the following challenges:

• Forecasting Demand for Products
• Capacity planning
• Production planning
• Costing per Sales Order
• Controlling Inventory & tracking finished goods
• Preventive maintenance so as not to disrupt production orders
• Quality Control to improve customer experience
• Improving Efficiency of every machines by efficient processes and skilled labor
• Machine calibration
• Tracking and improving OEE
• Skilled Labor vs Robots / Bots dilemma
• Coping and adopting factory automation

We at Netpro can help you implement or optimise your ERP. By use of appropriate technologies we can get real time insights of all your manufacturing units and create an end to end seamless operations to get maximum efficiencies.

High Tech & Electronics

High Tech and Electronics manufacturers are under constant pressure to deliver innovative and inexpensive products. Add to this the challenges posed by short product lifecycles, long procurement lead times and complex supply chain networks and you can see why more businesses are investing in ERP software solutions to help them stay one step ahead in a very competitive marketplace.

Margins are low, demands driven by festive cycles, end of season; so having a good real time view of slow- and fast-moving products and even dead stock are key to pricing and campaign strategies.

We at Netpro can help you go beyond ERP. By digitizing and tracking raw material to finished goods one can get an edge over competition. Also, by shop floor automation one can get real time insights of all your manufacturing units and create an end to end seamless controlled operations to get optimize costs and maximize margins.

Life Sciences and Pharma

The pharma and life sciences industry is faced with increasing regulatory oversight, decreasing R&D productivity, challenges to growth and profitability, and the impact of artificial intelligence (AI) in the value chain.

AI enables data mining, engineering, and real time- and algorithmic-driven decision-making solutions, which help in responding to the following key business value chain disruptions in the pharmaceutical industry:

• AI-driven drug discovery – Enables scientists to source scientific findings and insights from external labs or internal knowledge to jump start discovery which will in turn help reduce cycle time for product development aiding faster go-to-market
• Reduce cycle times for clinical trials– Through better insights driven by improved accuracy of machine-based ensemble algorithms
• Product failure prediction - Via root cause analysis and predictive algorithms of product failures (vendor data)
• Risk management – For evaluation of potential risks posed by elemental impurities in a formulated drug product
• Real-time medical device analysis and visualisation– Leveraging interconnecting data from implanted devices and personal care devices
• Behavioural sciences – To more fully understand customer perceptions about their products which helps in proactively fixing product issues or managing communication better
• Enhance reporting systems– To meet the changing regulatory compliance needs more effectively

Consumer Packaged Goods (CPG)

This industry is rapidly changing & evolving as the consumer buying habits are changing continuously.

• This industry has a lot of products and many Stock Keeping Units (SKUs). The competition is constantly pushing volumes and also sometime packaging with Combo packs, special extras, discounts. This puts in a big pressure on manufacturing, production planning, switch overs and has impact on efficiency and time to market.
• As the this industry has combinations of B2B, B2C, e-commerce / on-line ways to reach customers, there is a need for big data analytics of all raw material, WIP, finished goods, good in transport, goods at store, fast moving, slow moving, dead stocks etc. The supply chain needs optimization real time based on demand / supply.
• Follow your customer rather than wait for your product to be picked up is the need of the day. Consumer buying patterns are getting influenced by being healthy, so this needs to be captured and fed back into demand planning

At Netpro, we understand these challenges and guide you through the right level of automation.