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Our Trade Promotion Management and Optimization Solution, PromoTool, empowers organizations to enhance their promotional strategies. It offers AI-based predictions and forecasting, and pre and post-event analysis to drive business growth.
With integrated planning and trade spend control, PromoTool ensures that every promotional activity contributes to increased revenue and profit.
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To effectively address the complexities of trade promo management and optimization, businesses require a versatile solution like Trade Promotion Management system, which can adeptly navigate the following essential business challenges:
Achieve accurate and automated sales forecasting for the entire organization without the burden of extra time and labor.
Consistent control & transparency over trade spend which allows the organisation to gain real-time insights into trade spend data and facilitates accurate long-term planning.
Total control over the promotion budget; identify top-performing promotions and ensure precise ROI calculations for every campaign.
Centralized sales planning process, which encourages collaboration and alignment within your multifunctional team.
In-store execution of promo strategies often fail to generate the required ROI and business do not have relevant insights and control over in-store execution
To establish structured workflows, automation, and valuable insight generation through advanced analytics.
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When assessing SoftServe Business Systems’ PromoTool, view it not in isolation but as an integral element within our AI-Driven EcoSystem. This interconnected strategy elevates effectiveness, precision, and the utilization of insights by enabling seamless data interchange among various solutions. Below are a couple of use cases illustrating how this close integration can benefit the business:
Promo ROI growth and spending optimization
Accurate AI/ML forecasting and integrated business planning
Automated workflow on both promo and business level
Full Promo/Sales cycle with Retail Execution integration
Flexible solution for multi-country regions with different maturity level
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