NorthLight Gazelle is unique in integrating Generative AI with predictive modeling to drive stronger business impact
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AI-based custom models are estimated automatically delivering pricing analytics & insights in minutes.
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Solution is able to answer unstructured business queries from the user based upon the input and modeled data
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Interpretation, insights and implications of analysis are automatically generated
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Full optimization of pricing and promotion calendars based upon the existing models and extraneous business conditions
Our client impact
Using NorthLight Gazelle to dynamically manage pricing and promotions could drive additional growth to the top and the bottom line, compared to traditional ad hoc approaches
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2 - 6%
Volume Growth -
5 - 10%
Gross margin growth
Key Solutions Offered
We provide a range of cross-industry analytic and technology solutions
Our Mission
Empower managers to instantly react to the changing marketplace using the power of AI-based, predictive modeling technology
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AI powered latest scalable insights available in minutes to drive quick decision-making
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Sustained positive business impact via long-term partnerships with our customers
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Provide a range of sales and marketing analytics via an integrated breakthrough platform, that leverages the latest AI technology
Our Partners
Big Chalk
Big Chalk is a marketing analytics and outsourcing company that partners with leading consumer brands and retailers to tackle their business challenges and capture their greatest opportunities. By combining consumer marketing expertise with data science, Big Chalk equips brands of all sizes with the tools and consulting services they need to grow sales and build connections with their customers.
Our pricing solution captures shifts in competitive pricing, going beyond just the manufacturer's own products. Big Chalk's expertise in complex data harmonization and model prep work, combined with NorthLight Gazelle's superior technology, allow clients to bring critical elasticity capabilities in-house, enabling faster pricing decisions and more compelling retailer sell-in stories.