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New Forecasting Solution Boosts Beverage Company’s Promotional Results
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Food & Beverage
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Demand Planning & Forecasting
- Predictive Replenishment
Services
- Data Science Services
- Software Design & Engineering Services
The Challenge
The beverage company encountered significant difficulties in sufficiently forecasting the impact of promotional decisions. The company lacked the insights to plan how far in advance to execute promotions. Their goal centered on the ability to make these forecasts six months ahead. By planning this far in advance, it helped them with key decisions such as which brands to promote, in which channels and how. This would also help with promotional investment decisions to reduce spend to maximize ROI. The beverage company wanted a solution that reduced decision turnaround time significantly and improve forecast accuracy to improve confidence in decision making.
About The Customer
A major beverage company has seen tremendous improvement in the promotional capabilities of one of its business units. The business unit struggled with promotional decisions due to the lack of insight into the anticipated impact of their decisions. Now, with a new forecasting solution, the business unit has the insight it needs, along with improvements in its processes to make the necessary promotional planning decisions six months in advance with a stronger, more accurate predictive lens for decision making.
The Solution
Antuit built a simulator tool that could reliably predict the impact of promotional lift and give them the information it needed, when it needed it, to run multiple scenarios to maximize sales and revenue. This solution, which uses open source analytics and a simulator front end, conducts simulations at several levels: channel, banner, brand, SKU, week, and the intensity of the promotion. It was able to assess incremental lift and ROI to help determine the appropriate fit for the promotional execution, forecast the promotion’s impact on key metrics such as volume and revenue, and offer competitive insights. Through a variety of analytics, it helps the operations unit estimate promotion lift impact based on various levers, such as whether the promotion involves a promotional pack, a buy-one-get-one-free offer, or a percentage price discount. The solution forecasts the baseline and all of the significant drivers of demand above that baseline to maximize promotional profitability. With a better understanding of the most important promotional levers, the business can predict incremental revenue and volume and visualize not their only their own SKUs but also those of competitors, in addition, the solution provided a simplified report that can be shared across the organization enhancing communication of strategy and execution across key accounts.
Operational Impact
Quantitative Benefit
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