Analytics: an intelligent engine to decide with your data

Use cases

• Sales Forecasting

  Estimates sales for upcoming periods by product, customer, channel or region from history and seasonality, to set targets and plan ahead.

• Opportunity Close Prediction

  Calculates the probability that each pipeline opportunity will be won based on its stage, age, amount and interactions, to focus the sales team and project closings.

• Customer Decline Detection

  Identifies customers whose purchase frequency or value drops compared with their usual behavior, so you can reach out before losing them.

• Next Purchase Prediction

  Estimates when a customer is likely to buy again and which products, to schedule visits, offers and replenishment at the right time.

• Anomalous Sales Detection

  Flags sales with prices, discounts, quantities or margins outside the norm, to review errors, exceptions or practices that affect profitability.

Use cases

• Customer Segmentation

  Groups customers by purchase behavior, value and characteristics (for example, RFM) to design campaigns and offers tailored to each segment.

• Purchase Propensity

  Calculates the probability that each customer will buy a product or respond to a campaign, to direct marketing investment to those with the most interest.

• Churn Prediction

  Estimates the risk that a customer will stop buying or cancel based on recent activity, to trigger retention actions in time.

• Customer Lifetime Value Prediction

  Projects the value a customer can generate over their relationship with the company (CLV), to decide how much to invest in acquiring and serving them.

Use cases

• Demand Forecasting

  Estimates future demand by product and warehouse considering trend, seasonality and events, as a basis for buying and replenishing without excess or shortages.

• Stockout Prediction

  Anticipates which products are at risk of running out of stock in each warehouse or point of sale, to replenish or transfer before losing sales.

• Inventory Optimization

  Calculates reorder points, safety stock and order quantities that balance service level with the capital tied up in inventory.

• Inventory Anomaly Detection

  Finds unusual differences, movements or adjustments in stock that may indicate data entry errors, shrinkage or losses.

Use cases

• Purchasing Needs Forecasting

  Projects what, how much and when to buy based on expected demand, stock and lead times, to plan supply.

• Supplier Delay Prediction

  Estimates the probability that a purchase order will arrive late based on the supplier history, the product and the season, to plan alternatives.

• Abnormal Price Detection

  Flags purchases with prices above or below what is usual for the product or supplier, to review negotiations or errors before paying.

• Supplier Performance Prediction

  Anticipates each supplier's expected performance in lead times, quality and quantities, to support selection and negotiation.

Use cases

• Cash Flow Forecasting

  Projects cash inflows and outflows by combining expected collections, scheduled payments and history, to anticipate cash shortfalls or surpluses.

• Collections Prediction

  Estimates when and how much each customer in your accounts receivable will pay based on their payment behavior, to improve the income projection.

• Delinquency Prediction

  Calculates the risk that an invoice or a customer will become overdue, to prioritize collections and adjust credit terms.

• Anomalous Transaction Detection

  Identifies payments, journal entries or movements that fall outside the usual pattern by amount, frequency, time or counterparty, for review.

• Financial Forecasting

  Projects revenue, costs, expenses and results for upcoming periods to support budgeting and scenario comparison.

Use cases

• Production Forecasting

  Estimates the volumes to produce by product and period from expected demand, to plan materials, shifts and capacity.

• Failure Prediction

  Calculates the probability of failures in the process or in machines from operating variables, to intervene before they stop production.

• Process Deviation Detection

  Flags batches or orders whose times, consumption or parameters depart from the standard, to correct the process in time.

• Quality Prediction

  Anticipates whether a batch will meet specifications from raw materials and process conditions, to adjust before producing defects.

• Capacity Optimization

  Assigns orders to lines, machines and shifts to make better use of available capacity and meet committed dates.

Use cases

• Predictive Maintenance

  Estimates the right time to service each machine based on its usage, readings and failure history, to maintain before failure and not on a fixed calendar.

• Useful Life Prediction

  Calculates the remaining useful life of equipment and components to plan replacements, spare parts and budget ahead of time.

• Equipment Anomaly Detection

  Identifies equipment readings, consumption or behavior that fall outside the norm, as an early sign of a problem.

Use cases

• Turnover Prediction

  Estimates employee turnover risk from work-related variables, to focus retention actions on key profiles.

• Absenteeism Forecasting

  Projects expected absenteeism by area and period, to plan replacements and workloads.

• Staffing Needs Forecasting

  Estimates how many people and with what profiles are needed based on expected demand and operations, to plan hiring and shifts.

• Payroll Anomaly Detection

  Flags unusual payments, adjustments, overtime or deductions before payroll is processed, to avoid errors and improper payments.

Use cases

• Request Volume Forecasting

  Projects the volume of requests, calls or tickets by channel and time slot, to size the support team.

• SLA Breach Prediction

  Calculates which cases are at risk of missing their response or resolution time, to prioritize or escalate them in time.

• Repeat Issue Prediction

  Estimates the probability that a case will be reopened or that the customer will complain again, to resolve the cause at first contact.

Use cases

• Delivery Time Forecasting

  Estimates the delivery time of each shipment based on route, load, destination and season, to commit to realistic dates with the customer.

• Delay Prediction

  Calculates the risk that a shipment will arrive late, to notify the customer or take action before missing the commitment.

• Route and Load Optimization

  Defines the order of deliveries and the assignment of loads to vehicles considering distances, capacities and time windows, to reduce travel.

Use cases

• KPI Anomaly Detection

  Monitors key indicators and flags variations outside what is expected, so management finds out in time and not at month-end close.

• KPI Forecasting

  Projects the behavior of key indicators to anticipate whether the period targets will be met.

• Trend Change Detection

  Identifies the moment an indicator changes trend, to tell normal variations apart from changes that require a decision.

• Root Cause Analysis

  Identifies the variables that best explain a variation in a result (by customer, product, region or period) to understand why and act on the cause.