Planning the best revenue decisions requires integrating multiple sources like technical manuals, sales results, and performance charts. You have minutes to review information from various departments. With Lux Sigma AI Explainer, you can combine all this data and ask questions in natural language that even non-technical staff can understand.

For example, your data sources include:
- Product characteristics tables with multiple options
- Sales performance charts
- Excel sheets with sales results
- Technical manuals with extensive text

Figure 1: charts, excel and text manuals

Using Lux Sigma AI Explainer, you can ask questions about the product characteristics table:
“Give me the medium temperature operation for all models" and receive a natural language response from Lexplainer: Response:“I can only provide the medium temperature operation for some of the models: Type 3321CT: -10 to +220 °C Type 3321: -10 to +300 °C Type 3241: -196 to +450 °C For Type 3323,.”

Figure 2: Characteristics table

If you have only this sales performance chart and no other data in tables. Do this question: “What are the top 5 selling months?" and get this response from LExplainer: Response:"Estimated Peak Sales are: 1. May 2024: 820 2. March 2024: 550 3. June 2024: 550 4. January 2024: 520 5. November 2024: 520."

Figure 3: Sales Chart

Ask questions about the Excel sales sheet: “Give the best city to sell chocolate based on quantity” and LExplainer answers:  Response: "the best city to sell chocolate chip cookies in terms of quantity is Los Angeles. "

Figure 4: Excel data

If you have a complex manual, like this sheet about lubricants, and want to know a specific fact like “Explain the difference between Oils and Greases.": LExplainer responds with: "Oils: - Oils are the most important of all lubricant products used on site. - They are formulated with specific base stocks and additive packages to perform at a given level. - - Greases, it's implied that greases are distinct from oils and likely have a different consistency or application method.  ".
Figure 5: Technical text manual

You can also ask complex questions involving all data sources—characteristics table, charts, Excel, and manuals—like “Give me the worst selling month. Also, what are the most common base fluids. What is the best city to sell cookies based on quantity " and get the answer: " 1. The worst selling month is September 2024 with estimated peak sales of 300 units.
2. The most common base fluids are: - Mineral: Paraffin Based Products and Napthene Based
Products - Synthetics: SHC type (Polyalphaolefins) and Diester type
3. The best city to sell cookies based on quantity is Boston.
From the sales data, Boston has multiple high-volume cookie sales, including: - 193 units  ".

You can see a video explanation of this application here:

Contact: fernando@luxsigma.info