Trade Promotion Optimization: how CPGvision, Vistex, and Vividly approach it differently

What Trade Promotion Optimization actually is

TPM keeps the trade-fund books straight: it plans an event, accrues spend, executes the promotion, and settles the deduction. TPO is the layer above. It answers a different question: given the promotion calendar in front of you, the budget, and last year's lift data, what is the best deal to run, when, at what depth, and with which retailer?

In practice the line between the two is fuzzy. Every TPM platform now ships some optimization functionality. The interesting question is what kind of optimization, and how much of the planning it tries to take over from the human user. The three vendors below give three very different answers.

CPGvision: prescriptive optimization with guardrails

CPGvision is the most explicitly prescriptive of the three. The TPO product page calls out three named features: constraint-based optimization with robust guardrails, interactive iterative scenario planning, and AI-generated promotion suggestions [1]. The framing is unambiguous: the user sets the rules, the system proposes the plan. CPGvision describes the goal as "AI-driven, constraint-based, prescriptive optimization" of promotions and full plans [1].

This matters because prescriptive systems carry more authority than predictive ones. A planner using CPGvision is not asked to forecast what a 25 percent off two-week promotion will do; the system is asked to recommend whether such a promotion should run at all, against alternative scenarios, given the brand's objective and constraints. The user iterates inside the model rather than around it.

The platform foundation is Salesforce, inherited from CPGvision's origins as CPGToolbox in 2012 and the 2021 acquisition by PSignite [2]. The TPO module is sold inside the broader Revenue Growth Management suite, which is the strongest argument for the product when a buyer wants TPM, TPO, and broader RGM under one roof.

Vistex: TPO as forecasting accuracy

Vistex takes the most modest approach to TPO. On the public TPM page, the optimization layer is summarised in a single capability: "Predictive analytics allows you to enhance your volume, spend and sales forecasting for your merchandising conditions so you can become more efficient with your trade promotion dollars" [3].

The framing is forecasting-led, not plan-generation-led. The user still builds the plan. The system improves the accuracy of how the plan's volume, spend, and sales numbers are projected. Event analysis, where Vistex looks at lift percentage and ROI after the fact, is positioned as a separate capability under the management side rather than under optimization [3].

This is a deliberate choice. Vistex serves global enterprises running SAP, where commercial teams typically want analytic tools that improve their existing planning process rather than tools that try to replace it. Recommending a promotion calendar to a Bayer or Barilla planner is not the use case; tightening the volume forecast they already produced is. For an enterprise on SAP, Vistex's TPO scope is the right amount.

Vividly: generative campaign synthesis

Vividly sits between the other two on the prescriptive-versus-predictive spectrum, leaning generative. The TPO product page describes the core function as "generate your optimal promotion campaign in seconds instead of days" [5]. The user provides four inputs: budget constraints, spend rate limits, an optimization objective (ROI, volume, or gross margin), and a planning horizon. The system returns proposed promotions with spend, revenue, and ROI breakdowns, plus full visibility into every recommendation and the ability to override.

The replan capability is the most distinctive piece. When a budget changes mid-year, Vividly will regenerate the campaign in real time against the new constraints [5]. That kind of iterative, fast-cycle replanning is the workflow that makes generative TPO useful for the brands Vividly targets, mid-market CPG running lean commercial teams that have to react to budget reallocations from finance without rebuilding a quarterly plan from scratch.

The Series B funding announcement in 2025 confirms the direction: $30M raised in part to expand AI capabilities for deeper predictive insights including estimated lift and promotion performance [6]. Vividly's TPO is built for the brand that wants to be told what to run, not what to forecast.

What to pick when

Three planning postures, three platforms.

If your team wants a system that proposes a plan inside hard constraints, and you already run Salesforce, CPGvision. The prescriptive optimization is the entire point.

If your team wants better forecasts and you trust the planners, and you run SAP, Vistex. The optimization scope is intentionally narrow because the SAP-native enterprise buyer does not want the system replacing the planner.

If your team is mid-market, lean, and needs to regenerate a campaign in real time when finance reallocates the budget, Vividly. The generative campaign tool plus real-time replanning is the differentiator.

The deeper question worth asking before any shortlist is how much algorithmic authority your commercial team wants to grant the system. CPGvision asks for the most. Vistex asks for the least. Vividly sits in the middle, with a faster cycle and lighter integration footprint than either of the other two. Choose the posture, then the platform.