Advanced Analytics and AI
in Consumer Goods

How to thrive in the consumer goods market by embracing analytics & automation, driven by data and algorithms

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Challenges Are Plentiful for Consumer Goods Companies

The battle for market share has never been more intense across all areas of the Consumer Goods market.

Manufacturers in both the traditional FMCG market, such as the food industry, and the shopping market, such as the fashion industry, are facing an ever more complex and challenging environment.

As always, the driving force behind this dynamic marketplace is the end consumer, who is becoming increasingly value-conscious. This resulted in lower brand loyalty and the rise of hard discounters and private labels.

The changing consumer demand leads to slow growth and enormous pressure on margins, which is being pushed down to manufacturers by increasingly powerful retailers.

As if this wasn’t enough, Consumer Goods companies are also being tasked with reinventing their omnichannel strategy, due to the constantly growing importance of e-commerce sales.

Data-Driven Decision-Making Is Being Rewarded

In times of challenges and uncertainty, it is important to act instead of standing still. Innovative players are continuously collecting and analyzing data in order to set themselves apart from their competitors.

By installing a culture of data-driven decision making, they are able to adapt quickly to changes in the market.

The only way to achieve such a data-driven culture is by pushing a coordinated effort in all areas of the business, from production and logistics at the factory side to sales and marketing at the demand side.

  • What can I do with Advanced Analytics & AI?
  • How do I get started?
  • How to properly implement your Advanced Analytics & AI project?
  • Do I need an in-house Data Scientist?
  • How do you define the budget?
Let us answer your questions!

How We Help Consumer Goods Organizations

Discover the key value domains where Advanced Analytics & AI are transforming the consumer goods industry. In these key value domains, we've listed the business processes where data & algorithms can drive revenue or reduce costs. Where data & algorithms can assist people in making better decisions or automate such decision-making, setting the organization on a sustainable path for growth.

Let us help you design and set up a solid architecture to secure the flow of high quality data coming from multiple sources.

Let us create your detailed dashboards on revenue, cost, margin per region, SKU, customer and others. Insights that will allow your teams to make better decisions.

+ Client Case: How Real-Time Analytics on the Financial Performance of Products, Enables a Fresh Delicacies Provider to Thrive

Let advanced analytics help you determine the optimal prices on SKU level. Use data on costs, price elasticities, competitor prices, etc. to fuel algorithms able to set the right price.

Let us provide your teams with detailed dashboards on ROI of trade promotion spending, that enable them to improve their decision-making.

Let us provide your teams with the tools to determine the optimal assortment at POS level, based on sales trends and competition.

Enable your teams to accurately forecast future demand on SKU level, based on historical sales.

Let us help you design and set up a solid architecture to secure the flow of high quality data coming from multiple sources.

Let us create your detailed dashboards on revenue, cost, margin per region, SKU, customer and others. Insights that will allow your teams to make better decisions.

+ Client Case: How Real-Time Analytics on the Financial Performance of Products, Enables a Fresh Delicacies Provider to Thrive

Let advanced analytics help you determine the optimal prices on SKU level. Use data on costs, price elasticities, competitor prices, etc. to fuel algorithms able to set the right price.

Let us provide your teams with detailed dashboards on ROI of trade promotion spending, that enable them to improve their decision-making.

Let us provide your teams with the tools to determine the optimal assortment at POS level, based on sales trends and competition.

Enable your teams to accurately forecast future demand on SKU level, based on historical sales.

Interested in how you can use data to make an impact?

contact us