By
Jyoti Tejpal
Synchronize demand forecasting in trading network Collaborative scenario communication Consolidated view of supply chain Plan expected performance Monitor progress Respond to disconnects
Inventory optimization Designed to generate intelligence Performance of inventory Make smarter decisions Inventory investments Obtain results Reduce inventory by 10-30% Achieve targeted service levels above 98%.
Data warehousing tool Simplifies data integration Data quality Provide complete supply chain intelligence solution
Intelligent supply chain planning software Demand management Replenishment, Supplier Promotion Planning Monitoring Inventory Capacity planning
Wrike change the approach in collaborating project, the process has been simplified, and users manage to cut the time to finish their project compared to before using Wrike. Integration with other software is doable and adding value to the software.
Pros: Wrike is straightforward to use for managing our sales and marketing related project. They have all the tools that are much needed to manage a complex and resource-rich project. Collaborating project with multiple departments is smoothly run, and they are using the messenger platform to coordinate and communicate quickly.
Cons: The feature and tools in this software are excellent, but another story is the user interface. The graphic design does not help users move faster, as many of the icon design is almost identical and sometimes confusing to them. Occasionally, the system is not refreshed automatically, and users need to refresh it manually to get the real-time update.
Halo offers the complete package. Data cleansing, Cube Production, predictive analytics, and a smooth visual front end from the back-end data warehouse. Most other merchants will not even contemplate what better way to show content from the BI software than to estimate it with data and metrics you know. Please do your homework and call references; Halo gets nothing but positive praises from anyone who uses it—exporting serial data from. It was time-consuming and led to many reporting errors, often having more than one version of the truth. That is why users decided to explore what their options were with BI. They quickly saw Halo rise above the rest during their evaluation of many different BI vendors/software. Halo Source is everything a user needs from a data warehouse and cube creation perspective. On top of that, it uses full Microsoft-based technology, which gives the learning curve extremely quick, even for those non-developers. A determining factor for Halo was the data quality module. Everyone has an impressive form of dirty data, but Halo has an answer for that. The only company that allowed this feature was a primary reason user-selected Halo as the business intelligence solution. You do not need to understand how to write SQL to spin up your data warehouse and cubes for use with Halo Prism. On the topic of Prism, it is a very streamlined visualization tool. Drag and drop with as various visual options as you would require. Prism has enabled us to gain insight into the data that we have struggled to see. It is genuinely believed that this will be one of the most successful projects that have the most significant impact since our ERP implementation, and even then, this is the icing on the cake for our complete ERP suite.
Pros: Halo truly cares about its customers and their product, and we look forward to a long successful relationship with them. Prism is extremely user friendly, with drag and drop actions and dimensions to quickly and efficiently answer questions about the market. Only software/solution to discuss data quality as a critical part of the ETL process. Solution experts who know the business and ERP system. The training was exceptional—prebuilt templates to address industry-specific needs.
Cons: Halo is the top choice. Power BI put a strain on this method, giving pause from the Executives. Users tried to replicate some Power BI reports and saw how large the learning curve was and that it did not include the foundation of any BI solution (a data warehouse).
Stock IQ is excellent software, and their team engages actively to understand how your business operates. You aren’t buying software. You were adding a partner who is working with you to reach your goals. They are a trusted partner of ours.
Pros: The platform’s functionality expands across our complete supply chain for multiple users across different sectors of our business. The platform gives extra tools to help in other departments. They are more than completely forecasting. Here are some excellent features that separate Stock IQ from its competitors. 1- The team at StockIQ is a significant part of the success for us. As a partner, they are always ready to support questions and support ways to enhance the system’s data. During the past year, they set up forums and discussions and posted best practices to manage to forecast when essential for all of us. 2-Customization- Staying able to join in Product Hierarchy in different levels allows for customized views for other users and maintain data integrity. 3- Executive Summary page- will empower users to achieve swift insight and abridgement in the business again with filtered views for individuals the capacity to concentrate on. 4- Inventory Report – the Stratification section provides a transparent cross-section of Product Performance information related to On-Hand Inventory. 5- Fast and Prospective tool- organize your projection needs for both short-term and long-term by hierarchy, great for businesses Goals and Budgeting projections. 6- Pivot charts being able to turn into data and saving the scenes is of great benefit. 7- Alerts- there are many warnings on the platform that the users’ obligations can manage.
Cons: There is a considerable deal of data to users in Stock IQ that will serve different departments within your enterprise. Cooperate within the organization and enable them to be part of the implementation method. Stock IQ is very supportive in accommodating the platform based on new conditions. Users are restructuring their data structure to obtain this tool even more influential for the entire organization and not only “Forecasting”.
Demand planning software allows organizations to decrease waste by tracking trends that will affect future demand. This type of system performs the task by improving forecasting governance to exclude errors or biases in the data and reduce data latency, making real-time demand planning possible. In addition to appropriation software and strategic sourcing software, demand planning methods are an essential, cost-cutting supply chain management software.
Organizations can accomplish two key objectives with the aid of demand planning tools:
Historical analysis: Cross-functional or multi-dimensional forecasting processes examine the traditional demand for an exclusive product along with broader macro-and micro-economic trends to deliver an accurate forecast to supply chain executives.
Data separation: The software collects a wide range of data to improve history and future demand analysis. Filtering and division occur by product, customer, season and market information.
Demand shaping capacity: The software components in scheduling data compared to promotions, advertising, planned product ships and futuristic competitor activity, accumulating and displaying detailed plans for future marketing surveys and the projected effects on demand, awareness, and revenue accompany them.
“What-if” analysis: With all the information in the system, the solution can perform a series of situations and simulations based on “what-if” factors. Based on the inferences of these what-if simulations, can potential deviations from prepared demand can be communicated to the necessary areas of the supply chain order to get shipments or production.
Supply chain communication: Demand planning systems interact with other SCM system elements to renegotiate replenishment scheduling through capacity planning. It limits unnecessary oversupply and cost inefficiencies by decreasing inventory carrying costs and excess inventory write-offs.
Demand planning and forecasting solution can yield many advantages for organizations.
Increased efficiency: A demand planning solution assist in enhancing a company’s supply connection and operations, improving function, and managing inventory levels. These software can also generate a demand plan based on traditional data and predict future demand.
Improved collaboration: A demand planning system can assist enhance the interaction between a company’s supply chain and other areas of assistance, including sales, marketing and finance. It can lead to the totality of business plans for different situations to enhance overall productivity.
Cost control: Demand forecasts decrease costs by manufacturing effective inventory-stocking plans. This feature stops inventory overstocking while focusing on high-profit inventory items.
Trend analysis: In addition to managing costs, trend analysis features can generate predictions by capturing historical data and linking it with yearly variation and promotions. These forecasts can help prevent businesses lost due to lack of record.
Evaluating demand planning and forecasting software helps assess the functionality and its value to the planning rule. It also requires an agreement of the efficiency, accuracy, and relevance of the data provided, since that data is key to the system’s effectiveness.
Software as a service (SaaS): Organisations are opting for cloud-based systems hosted by the seller and help users run the software entirely via the web browser. Merchants that provide cloud-based demand planning and forecasting software include Fishbowl, SAP, S2K and Infor.
Digital monitoring: Companies face challenges such as delays, longer delivery times, degraded quality and higher costs with the enhancing globalization of the supply chain. Demand planning and forecasting software solutions provide a digital monitoring feature that offers real-time updates to tackle challenges and maintain visibility and connectivity across the entire supply chain.
Artificial intelligence: The supply chain for world companies is complex and continually evolving, which means it is susceptible to mistakes that can cost lakhs, if not millions of dollars. Some vendors are introducing features capable of finding and correcting historical and live supply chain data to combat this.
Increased demand for third party integrations: Not having to buy a completely new system that covers every phase of organisation operations, many consumers now review solutions that permit them to easily convey data, before-mentioned procurement, sales and transactions, from their pre-existing software into the new resolution without requiring extra manual effort.
Analytics : Demand planning and forecasting software vendors use different predictive models to improve the accuracy of demand forecasts. As a result, business intelligence software vendors with predictive analytics capabilities have started offering demand planning and forecasting software for supply chain application. For example, Qlik and Board BI have expanded their product offerings for the demand planning software market.
