HOLISTIC ANALYSIS of ENTIRE FMCG DATA

• Streamline production and supply chain efficiencies, reduce costs, and optimize resource allocation.
• Take the products to the right time, Redirect R&D investment, and improve returns of marketing effects.
• Gain customer insights, Customize promotional prices, and Enhance customer retention percentage.

INDUSTRY 4.0 AND ESS

ESS BI Solutions helps you advance your analytic complexity level and create new workflow in the organization. It helps the business to collect data from ERP and derive holistic viewpoint. BI in FMCG operations generate and capture data from all their processes. This data can help the organization generate game-changing insights and enables data-driven strategic decision.

Perform Unified Analytic

Business Intelligence in FMCG Industry combines data from various sources, be it from IoT devices, legacy systems, packaging units, distribution unit, and manufacturing units, and create intuitive dashboards to get clear visibility of your entire operations. Drill-down to get to the granularity of any causative factors that may help you to enhance operational efficiency. With innovative UI, this data-driven decision-making can be easily adapted across the organization.

Customer Insights

Business Intelligence in FMCG can handle massive data sets, and may combine all the customer data gathered by many corporate departments and sources without information duplication and data silos. You may segment your consumer base and foresee market trends by examining the tastes and purchasing behavior of your customers. Additionally, it gives all of your employees who interact with your customers across departments the ability to tailor their experience simultaneously, improving engagement and raising the possibility of cross-selling or up-selling products to increase their lifetime value.

Monitor OEE (Overall Equipment Effectiveness)

Using advanced analytics determines and improves the manufacturing plant's productivity. To track OEE, BI in FMCG collects and analyzes all the structured and unstructured data from the operators, machines, sensors, and IoT devices. Discover and improve the efficiency of each equipment, plant, and production setting as a whole. Measure a range of important KPIs, including delay and downtime. To maximize maintenance, link availability, performance, and quality to efficiency. The components frequently failing can be identified and proactively fixed by floor managers utilizing real-time tools and process monitoring to prevent production losses. Evaluate performance rate, target deviance, causes of incidents related to downtime and more.

Forecast Demand

Using machine learning, demand can be predicted based on past purchases and other forward-looking data. Business Intelligence in FMCG industry conducts what-if analyses to learn about and comprehend numerous possibilities to prevent unsold inventory, reduce risk, enhance sales tactics, and expand growth potential. Develop specific possible results and prospective plans.

Supply Chain Management

Obtain a complete picture of your supply chain and go deeper to gain more knowledge. Connect to internal and external data sources such as ERP to identify current supply chain difficulties and warning signs. BI in FMCG maintains a close eye on consumer demand and trends while managing cost, quality, orders, and inventories effectively. To acquire the greatest pricing, quality, and delivery, evaluate vendors and compare their performance. Manage the supply chain effectively by matching supply and demand with predictive analytics.

Marketing Mix Model for Campaign Analysis

Effective marketing campaigns are crucial to success in the fast-moving consumer goods (FMCG) industry. This is where the Marketing Mix Model for Campaign Analysis with Power BI comes in. It uses business intelligence (BI) tools to track and analyze various aspects of a campaign, including pricing, promotion, product, and placement. By utilizing this model, FMCG companies can gain valuable insights into which elements of their campaigns are most effective and make data-driven decisions to optimize future campaigns. BI in the FMCG industry has become increasingly important in recent years, as companies strive to stay competitive in a crowded market. With Power BI, companies can easily gather and analyze large amounts of data, allowing them to make informed decisions quickly and efficiently. By utilizing the Marketing Mix Model for Campaign Analysis with Power BI, FMCG companies can stay ahead of the game and continue to grow their business.

Leveraging the Analytics to increase customer retention & loyalty

The capacity to keep customers and earn their loyalty can determine whether a corporation succeeds or fails in an increasingly hypercompetitive market. By avoiding weak places, businesses are using data analytics to keep the valuable clients they already have. Businesses can examine customer behavior and experience to seize important chances to affect customer behavior, customer experience, and customer retention.