Prescriptive Analytics

We provide solutions that help guide you to the most profitable business decisions.



global brands






profit return

Our range of prescriptive analytic solutions do just that.

We derive our recommendations utilising our client’s historical EPoS data. We then apply our machine-learning algorithms taking into account their business rules, marketing strategies and operational constraints.

We provide assistance with:

  • Measuring the effectiveness and impact of Limited Time Offers
  • Understanding the impact of Coupons and deciding on the most profitable offers
  • Quantifying the impact of testing new products, a new service offer or a new restaurant concept
  • Help select the most representative restaurants to test brand innovations
  • Review your Loyalty Programmes and recommend marketing initiatives
  • Check level analysis to get to know your customers better
  • Conduct Primary Research, such as survey-based analysis

Limited-Time Offer Analysis

Making marketing campaign decisions based on unreliable data or on instinct, can lead to an erosion of profits. By utilising insight to understand an operator’s customer based on past purchasing behaviours, our clients are able to determine how to manage the demand and duration related to planned Limited Time Offers. It is then possible to create optimal promotional campaigns by accurately forecasting sales and footfall.

Coupon Analysis

An effective couponing strategy will provide a steady stream of new customers, together with the opportunity to reactivate ‘old’ customers, who may have been lured away by your competition. We help restaurant marketeers design effective and profitable coupon campaigns which draw customers in and encourage up-selling. Additionally, we highlight at what frequency and length promotions should run, to ensure your brand avoids being dependent on continual discount offers.

Test vs. Control Analytics

A strong test vs. control approach will provide you with valuable customer insight. A well-thought-out process starts with selecting a representative group of restaurants for the test and control group. The aim is to measure the impact innovations (new products, categories, pricing strategies, concepts, menu-boards, service channels, etc.) have on the overall customer purchasing behaviours, reducing the chances of error in the future, whilst helping you create profitable decisions.

Loyalty Programme Analytics

Loyalty programmes are a great way to increase sales and encourage repeat visits. When paired with insight gained from analysing transaction level data, restaurants can gain a deep understanding of how customers purchase at their locations. We use these valuable insights as a starting point to recommend marketing and pricing strategies which encourage repeat visits and up-selling, whilst adding a personal touch to loyalty initiatives.

Check-Level Analytics

With our Check-Level Analytics, our clients are getting an even deeper understanding of their customers purchasing behaviours. For example, how customer groups purchase items together, how check compositions and value varies throughout the day and week, together with which menu items predominantly bring customers in and which ones are bill builders. Our analysts turn these powerful insights into recommendations for our clients which can be implemented into profitable actions.


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Primary Research

Do you find yourself asking what your customers want, however, don’t have historic EPoS sales data yet? Our primary research takes the guesswork out of critical decisions, by getting the answers directly from your existing or potential new customer base. We use a mix of in-person or online questionnaires, surveys or interviews with individuals and small groups to provide you with the answers. Our group of industry experts will work with you on the brief and provide you with in-depth insights and recommendations to act upon.

Chat with one of our associates to learn more about our approach and what additional margins you can unlock. Contact us here +

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