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The battle to optimise Trade Terms Spend: how technology helps Consumer Products companies fight it
Home > unspun > unspun 37 - Demystifying Blockchain > The battle to optimise Trade Terms Spend: how technology helps Consumer Products companies fight it
CPG organisations are spending huge sums on trade spend. Learn how these organisations can use technology to optimise their trade spend and factors to be consider to ensure tooling is implemented effectively.
Every year Consumer Packaged Goods (CPG) organisations spend huge sums on trade spend (TTS, or Trade Terms Spend), with some statistics putting this figure at over 20% of total revenue. Trade spend describes the money that CPGs pay to their customers, the retailers, to incentivise them to increase consumer demand for their products. Most of this amount relates to promotional activities.
Unfortunately, there are several factors already eroding CPGs power in customer negotiations that are likely to increase this percentage in the future. These include new channels dominated by highly competitive customers such as internet retailers and discounters, and pressure now being exerted by some traditional customers combining their bargaining power into buying groups.
However, the outlook is not all doom and gloom; there are several strategies that CPG organisations can adopt to either combat or even exploit these evolving market conditions. These include implementing net revenue management (see our separate article ‘Securing Good Growth with Net Revenue Management’) and investing in modern technology and analytics tooling to provide real insight to optimise trade spend. In this article Nick Dawnay and Jon Bradbury discuss how CPG organisations can use technology to help optimise their trade spend and the factors that need to be considered to ensure that such tooling is implemented effectively.
‘Digital’ is a current buzzword for the CPG sector as it is for many others. Many CPG organisations are asking the question of what ‘Digital’ means for them and, specifically, how it can be used to improve their sales capabilities across all areas (such as category management, retail execution, customer planning and, perhaps most importantly, trade promotions management). Many CPG’s struggle to decide where and how to invest in the ‘building blocks’ of this landscape, and in what order. The sales capability tooling choices available include Category Management tooling that provides data driven store and shelf analysis, and Retail Execution tooling that provides the field force with mobile driven data to optimise in-store sales and merchandising. However, CPG’s primary focus is often on the Promotions Management area, and here the tooling choices break down further:
A simplified view of the overall data and technology landscape that most CPGs are driving towards is as shown below:
Recognising the importance and complexity of promotion planning, execution and monitoring, CPG organisations are increasingly looking to digitise these processes, moving away from bespoke Microsoft Excel models and towards workflow-based tooling. CPGs are looking for these tools to enable sophisticated analytics offering real actionable insights, including sales forecasting, post event analysis and – ultimately – predictive and prescriptive trade promotions optimisation (powered by Artificial Intelligence techniques including machine learning). CPG’s are also looking to drive process efficiency through increased automation (including Robotics Process Automation) and/or offshoring – whether insourced or outsourced – to exploit wage arbitrage opportunities.
There are a number of suppliers offering these types of TPM tooling solutions, from industry giants such as SAP and Accenture through to smaller, entrepreneurial organisations such as Anaplan and VisualFabriq.
However, regardless of the supplier they select, CPG firms have often found these tools very expensive and difficult to implement. In fact, the common industry theme seems to be that these TPM implementations are amongst the most challenging (and most often failing) programmes that they attempt. This begs the question – why? In our experience there are a range of key challenges, including:
A. the costs associated with anticipated local variations are costed into any business case before Global investment decisions are taken.
B. a strong empowered Global design authority is set up to ensure that any requests for local variation are managed effectively across markets.
2. Level of integration required with other systems. At minimum TPM systems require integration with Enterprise Resource Planning (ERP) and supply chain planning systems. Building and then managing the interfaces with these systems drives substantive and ongoing costs that must be factored into any business case before global investment decisions are taken.
3. Data quality and availability. To be effective TPM systems rely on good quality, trusted data. Data quality must be validated before any new TPM system is implemented and, if required, any costs to improve upstream data quality must be factored into the global business case. Given these facts it would be beneficial for organisations looking to invest in new TPM technologies to review and potentially refresh their broader IT and data strategies
Many CPG organisations are already exploring how analytics tooling can support strategic decision making. One use case is the automation of NRM calculations, fed directly from ERP systems and market share information providers. The ability to automate the highly detailed analysis required to develop meaningful NRM insights is a true ‘force multiplier’ for CPG organisations. However, there are some constraints that should give decision makers pause for thought before they make the decision to invest in tooling, including:
For more detailed insights on Net Revenue Management and related tooling please see our previous article ‘Securing Good Growth with Net Revenue Management’.
The implementation of standardised TPM software provides the data standardisation rigour required to merge TPM information with data from other internal and external sources. There are several ways that this data can be exploited to create actionable insights:
1. Post Event Analysis (PEA) tooling automates the process of assessing the effectiveness of promotions against plan, allowing organisations to continually improve their promotion strategies. This capability can already be purchased off the shelf, either as an integral part of some TPM products or as a stand-alone module. As these tools are ‘tried and tested’ some organisations may feel more comfortable in investing here than in newer more sophisticated tooling such as those products that claim to deliver trade promotions optimisation (TPO) capabilities.
2. Trade Promotion Optimisation (TPO) tooling is being marketed as a capability that can be used to exploit a range of different datasets and the latest Artificial Intelligence technologies to deliver predictive and prescriptive analysis. There is no doubt that these tools can provide CPG organisations with a competitive edge but there are a number of ‘watch outs’ that decision makers should consider, including:
A. The technology is relatively new so there is not currently a wide selection of ‘off the shelf’ products available. Building rather than buying these tools is likely to be costly both in implementation and in order to fund ongoing maintenance and upgrades.
B. Introducing new datasets makes the challenge that CPGs with diverse product portfolios distinguishes already have around how to effectively structure and merge data even more complex. ‘Proof of concept’ projects may deliver impressive results but may also be based on an unsustainable level of manual data preparation.
C. TPO relies on high quality data and organisations will need to invest in foundational TPM systems that provide the data labelling required to provide this.
D. The need to decide whether to focus on ‘micro TPO’ – specific use cases such as individual promotions, customers, categories, etc – or ‘macro TPO’ – looking for big picture trends and opportunities across the whole market.
CPG organisations can use TPM systems and associated analytics tooling to change the conversation with their customers, in some cases driving a more collaborative approach to customer business planning and even, in other cases, enabling joint business planning.
Current approaches to annual negotiations often use the prior year plan as an initial negotiating position. For customers this approach can provide an opportunity for them to push historical promotion strategies, even though these might be not be optimised for the CPG organisation and ultimately the customer themselves. Through investing in advanced analytics CPGs can bring more sophisticated ‘zero based’ strategies (i.e. start afresh, not from last year’s plan) to the negotiating table, ultimately driving better returns for all parties.
True ‘joint business planning’ relies on both parties sharing high quality KPI and sales information. This information sharing builds the level of trust required to change annual negotiations from oppositional to collaborative. The rigour and data labelling achieved through implementing TPM systems is a key enabler for achieving this.
The level of business change required to successfully implement TPM and associated analytics products is substantial. Many salespeople will not have the experience or skills required to effectively use analytics tools to support their decision making.
More fundamentally many organisations primarily incentivise their sales staff based on sales growth. The insights provided by the tooling and approaches described here can lead to a more sophisticated set of incentives for sales people, for example including profitability and trade spend optimisation targets.
These are significant changes for many salespeople, especially when considered with the enhanced process rigour and databased decision making that come with the introduction of a new TPM system that salespeople may see as restrictive or going against their experience and ‘gut feel’. To be successful, CPG organisations need to invest in a comprehensive change management approach and the resources required to deliver it (for more information on effective change management see our article ‘Business change in an agile world’)
Organisations need to embrace substantial change to take advantage of the capabilities provided by TPM and associated analytics tooling. At Berkeley we have a wealth of experience helping clients to successfully define their strategies and/or deliver the transformation needed to implement exactly this type of complex change. Please get in touch with Nick Dawnay or Jon Bradbury if you would like to know more.
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