Zilliant Reviews & Pricing

Key Features

• Price Management: Organize price lists, a pricing matrix, negotiations and agreements in an easy-to-use interface. 
  • Price Optimization: Account for price-influencing factors, business dynamics and market conditions to deliver real-time, market-relevant pricing. Measure elasticity and align prices based on company policies. Deliver optimized price guidance for specific deals and configurations. 
  • Omnichannel Pricing: Offer pricing guidance into ERP, CRM, CPQ and e-commerce systems in real time. Import, aggregate and mass update data with unlimited scalability. Automate approvals, counter-proposals and negotiations. 
  • Predictive Scenarios: Set different strategies and measure margin and revenue impact before implementing costs in the market. 
  • Pricing Initiatives: Deliver initiatives to sales teams according to promotions, price changes, inventory and other market factors. 
• Deal Management: Reduce margin leakages and glean agreement profitability in a centralized database. Ensure contracts are in accordance with company objectives and client needs through actionable recommendations. 
• Artificial Intelligence: Prevent churns, tailor pricing models and corner market share through data science and AI applications. Deploy algorithms and technologies like neural networks, association rules, k-means, random forest and natural language processing. 
• Visual Analytics: Review costs, monitor sales reps’ performance, observe pricing and sales effectiveness, and measure margin impacts through embedded analytical tools. Use the standard library to access price optimization guidance and predictive sales insights. Customize analytics based on organizational needs and use filters and drill-down options to derive deeper insights. 
• E-Commerce: Suggest product substitutes, offer promotions on excess inventory, set multiple price models for existing and new customers, and provide customized discounts to segmented user and product groups. 
• Cart Management: Use predictive product recommendations to suggest relevant items based on the customer's cart. Provide sales reps with cross-sell suggestions. 
• Automation: Minimize dependence on manual processes with automated negotiations, counter-offers, approvals and complex calculations. 
• Sales-Optimization: Expand business and increase wallet share through predictive sales growth modules. 
  • Intelligent Sales: Use advanced data science to identify defecting customers and revenue leakage. Sell additional inventory, achieve rebate goals and recommend substitute products through product-specific strategies. 
  • Sales Analytics: Aid sales reps in pitching the right products and identifying the customers most likely to buy certain products. 
  • Cross-Sell Actions: Provides account-specific up-sell and cross-sell actions. 
• Campaign Management: Execute campaigns across multiple channels using customer-specific guided actions. Monitor campaign performance and incremental sales through closed-loop tracking. 
• Integrations: Transfer data in real time from ERPs, CRMs, CPQs and e-commerce solutions. Leverage native connections with Salesforce Commerce, Sales Cloud and CPQ, SAP Cloud, Commerce and CPQ, Oracle ERP Cloud and CPQ, and Microsoft Dynamics. 

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