Sold by: goML
The GenAI Powered Sales Analytics Engine allows users to upload sales data in Excel or CSV format, generate instant insights, and create visualizations using advanced NLP queries. This engine ensures fast and accurate insights while maintaining top-level security. It is built on a robust tech stack, including AWS SES, AWS RDS, AWS Secret Manager, AWS Bedrock, and Claude 3.5 Sonnet. Users can easily ask questions about their sales data and receive immediate recommendations, making complex data analysis accessible to non-technical users. The drag-and-drop feature allows for effortless creation of charts and visualizations, helping users understand key performance indicators and sales trends. With its speed and precision, this tool is ideal for sales teams seeking actionable insights and data-driven decision-making.
Overview
The GenAI Powered Sales Analytics Engine revolutionizes sales data analysis with its unique combination of artificial intelligence and machine learning. It serves businesses of all sizes, providing rapid, real-time insights and user-friendly visualizations. The engines robust technology stack, featuring AWS SES, AWS RDS, AWS Secret Manager, AWS Bedrock, and Claude 3.5 Sonnet, ensures exceptional speed, precision, and security, empowering users to make confident, data-driven decisions.
With the GenAI Powered Sales Analytics Engine, users can easily upload their sales data in common formats like Excel and CSV. The AI-powered system quickly processes this data, delivering accurate insights almost instantly. This user-friendly approach allows businesses to identify trends, monitor performance, and discover opportunities, even without advanced data analysis skills.
A standout feature of the GenAI Powered Sales Analytics Engine is its Natural Language Processing (NLP) capability, powered by Claude 3.5 Sonnet. This NLP engine allows users to ask questions about their sales data in plain language and receive immediate answers. This real-time functionality enables teams to make swift, effective decisions and adapt to market changes as they occur.
The integration of AWS Bedrock supports the engines AI-driven analytics, utilizing machine learning models to analyze large datasets and provide quick, data-driven recommendations. Additionally, the engine includes a drag-and-drop interface for creating visual representations of sales data, allowing users to generate charts, graphs, and other visualizations effortlessly.
In addition to providing insights, the engine features AWS SES for automated email notifications. Users can set up alerts for specific sales metrics, ensuring they are always informed about significant changes and opportunities.
Data security is a priority, and the GenAI Powered Sales Analytics Engine integrates AWS Secret Manager to securely manage sensitive credentials. For data storage, it utilizes AWS RDS, a reliable and scalable database service that efficiently handles large volumes of sales data without compromising performance.
Overall, the GenAI Powered Sales Analytics Engine is designed for speed and accuracy. It enables businesses to derive meaningful insights from their sales data in real time, empowering sales teams to quickly uncover insights, improve decision-making, and drive better organizational outcomes.
Highlights
- Immediate and in-depth insights from sales data using NLP query engine.
- Drag-and-drop chart and graph generation for fast and accurate data analysis.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/request |
|---|---|---|
UsageAPI | User would be charged based on the number of analysis they do | $0.001 |
Dimensions summary
This product uses a single usage-based pricing dimension. You pay per API request, where each request represents one analysis you run. Your cost scales directly with how many analyses you perform. There are no tiers, seat licenses, or fixed commitments. Costs rise or fall with actual usage, so lighter use means lower charges and heavier use means higher charges. This model suits teams that want to align spending with the volume of natural-language data queries they submit.
Top-of-mind questions for buyers
Each request represents one analysis you run. When you ask a question in plain English, the engine translates it into a query and returns insights. That single question-to-insight cycle counts as one billed request. Requests are counted individually, so your total reflects how many separate analyses you submit.
Charges track the number of analyses you run. There is no committed minimum or fixed fee, so lighter months cost less and busier months cost more. Each request is metered individually, and your bill reflects the actual count of analyses submitted during the billing period.
Billing is tied to the number of analyses performed. If no requests are submitted, no request charges accrue for that period. You pay only for the analyses your team actually runs. Underlying AWS infrastructure in your environment may still carry separate AWS charges.
www.goml.io
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Vendor refund policy
User would be charged only based on the number of analysis they do
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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