Trinamix Trade Promotion Planning

Driving efficient and highly profitable promotion planning on the cloud
Trinamix trade promotion planning

Solution Overview

Trinamix Trade Promotion Planning – An extension to Oracle’s Demand Planning Cloud

While the current Oracle platform supports supply and demand planning, there is no component to address the critical process and analytical requirements of trade planning. Trinamix Trade Promotion Planning, a PaaS based solution, was developed as an extension to Oracle’s Demand Planning Cloud solution that enables an end-to-end planning on the cloud. This solution leverages the core technology and information stored in Oracle Development Management Cloud (ODMC) and uses it as a basis to calculate promotional impacts.
TPP will serve as the central portal and repository to enter, view and interact with promotions. Account managers and sales analysts will have access to top-down and bottom-up views of the entire promotional plan for the enterprise where reports will highlight the most and least effective results of various promotions. This enables the workforce for both timely and effective planning. Based on real-time and statistically driven feedback all stakeholders in the promotion planning process will be enabled to make strategic and informed decisions. TPP will drive efficient and highly profitable promotion planning as well as enabling utilization of available budgets.

Trade Promotion Planning is a Platform-as-a-Service (PaaS) application that is deployed in conjunction with Oracle Demand Management Cloud. It is hosted on the Oracle Cloud platform and has pre-built seamless integration with Demand Management. The system can support the same user-structure and is embedded in Demand Management for unified user experience.

Background

Trade spend is one of the largest expenses companies face. This is an area in which an average Consumer Packaged Goods company may spend well over 10% of its annual revenue in an attempt to shape demand. Therefore, it is critical to ensure that these funds are allocated efficiently and cost-effectively.

Many organizations tend to repeat promotions on an anniversary basis while lacking the insights on the actual impacts of performing or withholding promotions. There is a pressing need for tools that support the quantitatively driven decision-making process in real-time. These decisions include:

There are several solutions within the market to support trade planning, however many require costly licensing and implementation fees. There is an inherent need for a robust yet lightweight solution that enables cloud-based promotion management and robust real-time analytics.

Success Stories

A Leading Canadian Utilities Conglomerate Collaborates with Trinamix for the Implementation of Oracle Fusion Analytics Warehouse (FAW) Integrated with Oracle ERP Cloud

Trinamix enhanced end-to-end visibility of inventory from
PO placement through end-of-life decommissioning.

Australia’s Leading Manufacturer of Windows and Doors Selects Trinamix for Oracle End-to-End ERP-SCM-CX Cloud Implementation

Trinamix helped Block create a reverse auction capability
that it uses to regularly solicit new bids from its suppliers.

A Global Technology Corporation Seeks the Expertise of Trinamix for End-to-End Oracle ERP-SCM-CX Cloud Implementation with A Multi-Country Rollout

Trinamix enhanced business operations based on specific operational models and optimization needs.

Key Features

60% cost reduction
Shifting to a cloud-based trade solution reduces initial and sustaining costs by more than 60%
Over 40% of trade spending is not effective, analytically driven post promotion ROI dramatically improves future promotion planning and increases spend effectivity
Taking the guesswork out of the effects of future promotions reduces stock outs and improves customer service levels
Centralized promotion repository and codified approval process speeds up promotion creation while increasing accountability and visibility

Product Overview and Demo

Other Resources

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CPFR

Collaborative Planning, Forecasting and Replenishment

Calculating Sell-Through forecast using POS data and causal factors

Frequently Asked Questions

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