Trade Term Management and Analytics

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:

1. Channel Growth & Share
2. Price & Margin Waterfalls
3. Downstream customer performance
4. Partner Segment assignment

It also helps in the analysis of Trade Investment performance along the following lines:

1. Return on Investments for all types of Trade Investments
2. Value Pool Analysis to identify value creation evolution
3. Investment conditionality Profiling

The following AWS workloads have been used in developing the above mentioned solution:

1. AWS Glue: Orchestrating data integration pipelines to integrate data from diverse sources.
2. Amazon S3: Serving as the underlying storage layer.
3. AWS Lake Formation: Unified data governance.
4. Amazon SageMaker for Machine Learning
5. Amazon Redshift: Integrating and analyzing large datasets.
6. Amazon QuickSight for Business Intelligence.