Introduction
Regular sales are not “simple” in an absolute sense, but they are at least logical. You can build a baseline and defend it with facts. You look at history, seasonality, number of stores, store clusters, locations, shelf share, distribution, assortment changes. You can explain why demand is going up or down, and you can translate that into a plan that operations can actually execute.
Promo demand is a different animal, because it is never just your decision. It is your price, your mechanic, your depth, your display, your availability, your timing, your competitor’s reaction, and the customer’s mood all at once. One small change in depth can create a completely different behavior. One competitor can drop price a little more aggressively and your uplift disappears in real time. If the same product gets discounted by several retailers at the same time, it becomes even more confusing, because what looks like “incremental demand” is often just demand moving between channels, or between weeks, or between your promo and your own regular sales. And if you do not explicitly model cannibalization and halo, you end up celebrating volume while quietly paying for it with margin and with chaos in replenishment.
We all talk digital tools, but promos are still the biggest question mark. No universal button. Many retailers build their own add ons and libraries.
I started looking at what the big networks do, because I wanted to understand what “good” looks like at scale, when you cannot rely on heroic planners and manual spreadsheets.
Promo demand is a different animal, because it is never just your decision. It is your price, your mechanic, your depth, your display, your availability, your timing, your competitor’s reaction, and the customer’s mood all at once. One small change in depth can create a completely different behavior. One competitor can drop price a little more aggressively and your uplift disappears in real time. If the same product gets discounted by several retailers at the same time, it becomes even more confusing, because what looks like “incremental demand” is often just demand moving between channels, or between weeks, or between your promo and your own regular sales. And if you do not explicitly model cannibalization and halo, you end up celebrating volume while quietly paying for it with margin and with chaos in replenishment.
We all talk digital tools, but promos are still the biggest question mark. No universal button. Many retailers build their own add ons and libraries.
I started looking at what the big networks do, because I wanted to understand what “good” looks like at scale, when you cannot rely on heroic planners and manual spreadsheets.
Cases
Walmart is a good example of operational muscle and speed. They plan and execute with a strong supplier interface and a focus on network readiness, which means inventory positioning and fast reaction are part of the game, not an afterthought. Their approach is not about constant deep discounting, it is more about being selective and being able to move fast when they choose to promote.
Tesco is a very different story, and that is exactly why it is interesting. Their loyalty layer turns promotions into measurable customer behavior, not just price cuts. When you have that, you can learn much faster what works, what cannibalizes, what creates true incremental value, and what is just noise.
Carrefour is a reference when it comes to balancing big national campaigns with local realities across formats and countries. You cannot copy paste one plan everywhere, so the discipline is in the calendar, governance, and localization, supported by strong coordination across marketing, commercial, and supply chain.
Target is known for forecasting at scale. What I take from that is not a specific tool, but the ability to industrialize the basics: promo flags, events, price changes, and assortment signals must translate into store level demand plans and replenishment decisions fast enough to matter.
Tesco is a very different story, and that is exactly why it is interesting. Their loyalty layer turns promotions into measurable customer behavior, not just price cuts. When you have that, you can learn much faster what works, what cannibalizes, what creates true incremental value, and what is just noise.
Carrefour is a reference when it comes to balancing big national campaigns with local realities across formats and countries. You cannot copy paste one plan everywhere, so the discipline is in the calendar, governance, and localization, supported by strong coordination across marketing, commercial, and supply chain.
Target is known for forecasting at scale. What I take from that is not a specific tool, but the ability to industrialize the basics: promo flags, events, price changes, and assortment signals must translate into store level demand plans and replenishment decisions fast enough to matter.