Qymatix Predictive Sales Use Cases

Use Cases

There are several endpoints where you can get different use cases and scenarios served up in a nice HTML format.

ATTENTION: The displayed URL uses your fixed secret token. This token is fixed and should not be changed. Give the link only to people you trust and let us know if we need to delete the token. There are temporary tokens that can be obtained from the application, under Settings, or after logging in using AUTH-Rest.

Here’s an updated explanation and description for the provided API endpoints. These descriptions align with the functionality of predictive analytics and recommendation engines, designed for B2B sales professionals.

Between {{}} you will find the variables needed in the URL, for example {{your_customer_ID}} for your customer ID.

Cross-Selling Recommendations

Product-Type Recommendations for a Specific Customer

URL:

https://api.qymatix.com/recommendations/v1/{{TOKEN}}/crossselling/product_types/customer/{{your_customer_ID}}/

Description:
Returns a list of recommended product types (categories) tailored for a specific customer, based on their historical purchasing behavior and cross-selling analytics.

Use Case:
This endpoint is ideal for identifying new product categories to introduce to a customer, helping sales teams maximize upselling and cross-selling opportunities.

Product Recommendations for a Specific Customer

URL:
https://api.qymatix.com/recommendations/v1/{{TOKEN}}/crossselling/products/customer/{{your_customer_ID}}/

Description:
Provides specific product recommendations for a given customer, derived from predictive sales analytics.

Use Case:
Designed to suggest individual products that the customer is likely to purchase, enabling targeted sales pitches and inventory optimization.

Pricing Suggestions

Customer-Specific Price Suggestion Based on Typical Quantity

URL:
https://api.qymatix.com/pricing/v1/{{TOKEN}}/customer/{{your_customer_ID}}/product/{{your_product_ID}}/price/suggestion/

Description:

Generates a price recommendation for a specific product tailored to a customer, based on their usual order quantities and historical pricing preferences.

Use Case:
Used to provide personalized pricing strategies for key accounts, aligning with established purchasing habits.

Customer-Specific Price Suggestion Based on Custom Quantity

URL:
https://api.qymatix.com/pricing/v1/{{TOKEN}}/customer/{{your_customer_ID}}/product/{{your_product_ID}}/quantity/{{quantity}}/price/suggestion/

Description:
Offers a dynamic price recommendation for a specific product and customer, factoring in the custom quantity provided in the query.

Use Case:
Helpful for quoting prices in negotiations involving variable order sizes.

Product-Only Price Suggestion (Independent of Customer)

URL:
https://api.qymatix.com/pricing/v1/{{TOKEN}}/product/{{your_product_ID}}/quantity/{{quantity}}/price/suggestion/

Description:
Calculates a price recommendation for a specific product based on the input quantity, without considering customer-specific data.

Use Case:
Suitable for generating general price guidelines for bulk orders or new customer inquiries.

Product Recommendations by Type

Specific Products for a Customer

URL:
https://api.qymatix.com/recommendations/v1/{{TOKEN}}/crossselling/products/customer/{{your_customer_ID}}/

Description:
Lists individual product recommendations tailored to a customer’s purchasing trends, focusing on cross-selling potential.

Use Case:
Assists sales teams in suggesting highly relevant products during customer interactions to increase sales conversion rates.

Product Categories for a Customer

URL:
https://api.qymatix.com/recommendations/v1/{{TOKEN}}/crossselling/product_types/customer/{{your_customer_ID}}/

Description:
Provides a list of recommended product categories (or types) for a specific customer, enabling broad-based suggestions in cross-selling strategies.

Use Case:
Empowers sales professionals to diversify customer portfolios by introducing new product categories of interest.

**Customers with a high risk of churn **

URL:
https://api.qymatix.com/critters/v1/{{TOKEN}}/churners/total/{{number_of_customers}}

Description:

This endpoint returns a defined number of customers with transactions in the last 100 days, ranked by total revenue.

Use Case:

Similar to the front end applications, you can use this enpoint to list a number of customers, as specified in {{number_of_customers}}, to create a specific retention action for current buying customers.

**Customers with high churn risk in a specific industry **

URL:
https://api.qymatix.com/critters/v1/{{TOKEN}}/churners/industry/{{your_industry}}/total{{number_of_customers}}

Description:

This endpoint returns a defined number of customers in a specific industry with transactions in the last 100 days, ranked by total revenue.

Use Case:

Similar to the front end applications, you can use this enpoint to list a number of customers, as specified in {{number_of_customers}}, to create a specific retention action for current buying customers, selected into a specific industry or customer segment as defined by {{your_industry}}.

**Opportunity Radar or Customer Insights **

URL:
https://api.qymatix.com/critters/v1/{{TOKEN}}/customer_insights/customer/{{your_customer_ID}}/json/

Description:

This is the unscaled response that populates our very popular Spider Diagram or Opportunity Radar. It gives you back five dimensions in a JSON with the structure:

{“customer_number”: “your_customer_ID”, “total_sales”: XXXX, “risk”: 1.6136, “size”: 10.1638, “ccbm”: 0.1937, “margin”: XXXX, “ppb”: 0.0}

Use Case:

The most important scores here are risk, ccbm and ppb. These acronyms stand for risk (as in churn risk), customer can buy more (as in sales potential with existing products) and product price behaviour.

Risk:** KI forecast KPI - churn risk according to the Qymatix federated model. We sometimes use an opposite word for it, such as loyalty or stability. Neither has anything to do with perceived loyalty, but with transactions that are predicted to disappear soon. The score in the JSON answers goes from 0 to 2, with 0 being the highest predicted churn risk.

Ccbm (sales potential based on risk, 0-1). The name comes from the idea of “Customer Can Buy More” and attempts to describe the total predicted additional or untapped purchase potential of the selected customer. Customers with a value close to 1 have the highest untapped sales potential with existing products.

Ppb (Average price of the product sold in relation to what the customer paid. The name comes from the idea of “product price behaviour” and attempts to describe the overall historical price behaviour of this customer in relation to others). It is the feature with the highest information gain for pricing or the main predictor of future individual customer prices. 0 normal, 1: buys on average at low prices, 2: buys on average at high prices.

Answers as a json element

JSON

Wait… did you see what we did there?

If you add the /json/ extension to an API call where the response is a html, you will get the same response as a json element.

This will not work for all calls, so please let us know if you find it missing somewhere.

JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transfer data objects consisting of name-value pairs and arrays (or other serialisable values).

For example, the call

https://api.qymatix.com/pricing/v1/{{TOKEN}}/customer/{{your_customer_ID}}/product/{{your_product_ID}}/price/suggestion/

becomes the call

https://api.qymatix.com/pricing/v1/{{TOKEN}}/customer/{{your_customer_ID}}/product/{{your_product_ID}}/price/suggestion/json/

to get a JSON element in response.