Arm Your Sales Team with Actionable Customer Insights
Do You Know When Your Customer Will Order Next?
Knowing when a customer could run out of a frequently purchased product is valuable insight that could easily improve your bottom line. It is often guesswork and there is no easy way to know the exact moment when to call your repeat customers. As a result, your business might be leaving money on the table.
How Do You Get Ahead of This?
Introducing, the Arkieva Sales Predictor, an Arkieva standalone solution that empowers organizations to increase sales revenue by providing timely actionable analytics.
Predict Your Next Sale With Actionable Customer Insights
Powered by a statistical model that analyzes customer ordering patterns, the Arkieva Sales Predictor flags the most probable and most profitable sales lead opportunities.
This insight allows an organization to focus its sales efforts in the right direction.
Identify Real-Time Customer Insights That Work
Harness the power of customer data with predictive indicators to identify when your customers are likely to run out of a product.
Integrate your business rules into the Arkieva Sales Predictor
to trigger key actions with customers automatically.
Gain Some Free Time To Do What Matters
Increase Revenue. Delight Your Customers.
Sales Predictions Made Easy
Arm Your Sales Teams With Actionable Customer Insights
A tabular view of the results of the analysis and the user interactions with those results. Presented in “Condensed” or “Expanded” view to show more or less result data. The Data Grid is helpful to view the results of the analysis sorted by attributes or quantities of interest.
A set of charts that display the historical dataset used in the analysis of a sales lead’s run-out calculations. Shows the calculated run-out dates for enhanced visualization of the historical ordering pattern and where the current date is in relation to the set of calculated run-out dates.
A set of drop-down and numerical entry filters that determine which combinations are presented for display in the Data Grid. To focus the results presented in the Data Grid to Customers / Items /Dependent Attributes of interest. Allows “Days Since” filtering for date quantities, “Contains” filters for text quantities, and “Value” filtering for run-out scores.
For the selected sales lead, information presented in the Data Grid in a non-tabular format. It also allows users to interact with the data. Users can view result data in a non-tabular format without the “Expanded” Data Grid view. They can “Snooze” (or alter the status of) sales leads, forward them to co-workers, or publish the data to your CRM system.
How to Use Predictive Analytics to Drive Sales & Delight Your Customers
Are you leaving sales opportunities on the table?
Can you do a better job building customer loyalty?
If you answered yes to these questions, then we hope you’ll join us as Arkieva COO Sujit Singh shares how upstream manufacturing companies can use predictive analytics to help reduce inventory levels, close more deals, and deliver a better customer experience!