CrunchMetrics

crunchmetrics

Questions to ask while implementing Anomaly detection system

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on.

crunchmetrics

How to use anomaly detection to balance your distribution budget

One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for shopping cart abandonment.

CrunchMetrics

CrunchMetrics is an advanced anomaly detection system, that leverages the combined power of statistical methods and AI-ML based techniques to sift through your data to identify incidents that are business critical in nature.
crunchmetrics

How to stay alert on top of your anomaly data

Advancements in big data and machine learning has increased the efficiencies of analytics driven organisations. Companies that have adopted the culture of data driven decision making have clearly outperformed their competitors. The next step in this AI & ML evolution is to use automated anomaly detection to identify instances that are unusual, appreciate the true reason behind that anomaly and leverage the insights gained to grow the business.

crunchmetrics

Manage network ops and increase revenue with Anomaly Detection - Part 1

As any operator can attest, successfully managing a business, in the telecom landscape, entails managing the inherent sub-divisions well, such as revenue generation, cost optimisation, customer experience, and operational efficiency etc. By arranging and integrating each individual piece of the puzzle perfectly, we can achieve a desired business outcome, which is all part of the big picture of the company.

crunchmetrics

Reduce shopping cart abandonment with automated anomaly detection

A typical shopper visits the website, selects items, adds them to the shopping cart, provides a delivery address, selects payment method and confirms the purchase. Let’s consider a scenario where, after selecting the items, the customer abandons the cart and leaves the website. This occurrence is not as rare as one would think, and Dotcom stores look to optimise the checkout process and attempt to decrease this customer behaviour as much as possible.

crunchmetrics

How to use anomaly detection to seal revenue leakages due to price errors

Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late.

crunchmetrics

AI - powered Anomaly Detection in Ecommerce for Category Managers

For an ecommerce company, each category is a mini business with its own P&L. Category directors assisted by their managers collaborate with the suppliers, exchange information, build and focus on common goals to shape the business. Suppliers work with the category managers, support promotions, suggest new product launches, exert towards meeting supply chain needs and aid business growth.

crunchmetrics

Anomaly Detection for Supply Chain Managers in Retail

Retail supply chain structures are complex. Outliers at an SKU level are a norm rather than an exception. Supply chain teams must ensure the availability of the right number of products to the customers based on various parameters such as product demand, promotions of the retailer, promotions by the competition, changes in customer tastes and preferences and others.

crunchmetrics

Benefits of using real time AI and anomaly detection in retail

While applications of AI cover a full range of functional areas, it is in fact in these two cross-cutting ones – supply-chain management/manufacturing and marketing and sales – where we believe AI can have the biggest impact. (Harvard Business Review, JULY 20, 2018) In retail organizations, for example, marketing and sales has often provided significant value.