Liquid Orders for Sales and Distribution

Does AI drive your sales force?

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Business

  • For sales and distribution businesses including Food & Beverage.

  • Organizations working in the sales and distribution industry needed a robust and cutting edge order placement application for sales transactions between retailers, distributors, and suppliers.

Challenge

  • Companies needed a complete platform that would help drive revenue, decrease returns, improve goal accomplishments, and gather market data for their sales teams.

  • Companies required seamless integration to existing ERP and other back-end systems in order to provide real-time order and payment confirmation.

Action

  • Liquid Analytics provides a robust platform that integrates orders, goals, product and account info, inventory, insights, and media for increased usability.

  • Create several Predictive Lists, leveraging machine learning algorithms, that recommend products to sales reps based on an account’s geolocation, demographic, sales trend, and inventory space.

  • Real-time integration enables immediate order, inventory, and payment confirmation.

  • Applicable to Retail stores that can utilize Liquid Decisions to communicate and manage the entire ordering process remotely between their sales rep and distributor.

Results

Intangible Benefits

  • Deploying Machine Learning and Deep Learning to discover key insights that increase sales and drive more profit.

  • Allows company and sales reps to spend more time selling and on market execution rather than configuring IT and sales operations.

  • Reduces friction and distribution workflow, provides a direct line of communication to suppliers, retailers, and distributors.

  • Cut transportation costs and other expenses with the option for retailers to place orders through Liquid Decisions without their sales rep on site.

Tangible Benefits

  • Increase revenue and profit by equipping your sales teams with a complete suite of AI-driven solutions.

  • Decrease returns by leveraging AI-driven recommendations.

  • Improve out of stock and inventory turnover.