FMCG Business Intelligence
The FMCG business is complex and competitive. We can help deliver business improvements across all aspects of your business through targeted business intelligence initiatives.
We can help you:
- Deliver cross business process reporting and analytics of all aspects of the business at all levels of the organisation. Bring together information from various applications and databases.
- Improve business performance delivering feedback to teams and individuals on performance measures that impact overall organisational objectives.
- Sales Forecasting. Identify patterns in Customer behaviour, help plan sales promotions, pricing strategies and product mix.
- Help align Sales with Operations. Use sales forecasting to drive manufacturing and provide feedback loops between sales and operations for better cooperation between the two groups.
- Provide a Finance Business Intelligence solution. Do in-depth analysis on Assets, Liabilities, Purchasing, Invoicing, GL, AP, and AR. Ensure everyone is working with the same data based on common definitions and metrics. Allow other divisions/units to analyse financial information relevant to them, curated by finance, but self-service, reducing their dependency on the finance department for information production.
- Supply Chain Analytics. – Supply Chain Performance Management, Transport and Freight analysis, Product Cost & profitability analysis, Order Fulfilment rates and efficiency, Operational Planning efficiency Inventory visibility & optimization, Supply Network efficiency, Spend Analytics.
- Understand manufacturing efficiencies, Bill of materials and supply inventories analysis and supplier performance etc.
Case Study
Along with implementing a comprehensive Finance BI solution, Hans Smallgoods was able to improve its profitability and performance by also developing applications to support Sales budgeting, forecasting, reporting and analysis, Sales and operations coordination, inventory management, Supply Chain Performance Management, transport and order fulfilment.
The solution brought together information from various systems, including separate, Sales budgeting, warehouse management, ERP and Sales forecasting systems to deliver cross business process analytics.
Employees from various divisions of the business were able to work with the same data based on common definitions and metrics, enhancing communication across divisions.
The sales and operations communication was improved with rolling weekly sales forecast updates influencing operational decisions on production quotas and mix. The solution was able to show how a sales forecast changed in the months and weeks leading up to any production week.
Information from the transport management system and ERP systems provided information and drill down for DIFOT performance.
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