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Analytics for Efficient Trade Term Management
Perform efficient Trade Term Management with Sigmoid's solutions to understand the quality of trade channel performance and effectiveness of trade investments.
Trade Term Management is crucial for Consumer Packaged Goods (CPG) companies because it directly influences their ability to optimize trade spending, which can constitute up to 20-25% of their revenue.
But organizations face a couple of challenges in efficient trade term management. Budget is generally allocated basis 1 year promotion performance at store level. Promotion at Category-SKU level is executed basis market understanding of Area Sales and other Category Managers. But with data existing in silos and lack of an efficient analytics tool, category managers perform an inefficient decision making. There is generally no solution to estimate sales as a function of promotions. There is a need in the industry for a trade budget allocation model that can help achieve business needs based on periodic priorities such as clearance, maximizing profit, revene, etc.
Sigmoid helps enterprises achieve the above through a consultative approach to discover gaps in the current methodology, alignment on final tools & creation of a solution for appropriate measurement of Trade Investment KPIs. Our solutions help to understand Trade Channel performance along the following parameters:
It also helps in the analysis of Trade Investment performance along the following lines:
The following Azure workloads have been used in developing the above mentioned solution:
Azure Data Factory (ADF) for orchestrating data integration pipelines to integrate data from diverse sources Azure Data Lake Storage, serving as the underlying storage layer Microsoft Purview for a Unified Data Governance Azure Machine Learning Azure Synapse Analytics for integrating and analysing large data sets Power BI for Business Intelligence