Retail and E-commerce
We work with sales, stock, promotions, and customer requests. This data supports more accurate purchasing and reduces the load on customer support.
Typical challenges
- →Procurement is planned on last year’s numbers: write-offs and empty shelves
- →Support drowns in repetitive questions about delivery and returns
- →Churn is discovered after the fact, too late to retain
- →Promotions go out to everyone; effectiveness is not measured
A test can run on one category, a group of stores, or part of the support flow. We compare it with the current figures before deciding whether to expand.
How we can help
Chatbots and Search
Chatbots for customers and employees, knowledge base search, request processing.
Learn moreForecasting and Analytics
Demand and churn forecasting, scoring, recommendations, anomaly detection.
Learn moreProcess Automation
Document workflows, request processing, and other routine operations.
Learn moreMobile Apps
iOS and Android from one codebase: Flutter and React Native.
Learn moreRelated challenges and solutions
answers based on approved store material
Support Chatbot for an Online Store
The bot answers from approved store policies and checks order status. If the issue remains unresolved, an agent receives the conversation.
a forecast for each item and store
Demand Forecasting for a Retail Chain
A weekly forecast is calculated for each store and item using promotions, holidays, and seasonality.
a prioritized list for the retention team
Churn Prediction for a Subscription Service
The CRM receives a list of customers at high cancellation risk and a possible reason.
Get a preliminary assessment
Describe the task. After reviewing it, we will propose a call and a list of materials for an initial assessment.
contact@amplifylab.it.com