Data Outlook

- A Little About Us -

We help to analyze sales behavior across different hours of the day, predict tomorrow's customer today by statistical analysis and extract a product price in a automated way from various websites.

We empower traders in forecasting future product demand. In the depicted graph, we've forecasted the future trade index. By monitoring the forthcoming retail trade index values, retailers can strategically procure retail products in precise quantities and sell them to customers at potentially higher prices than their purchase cost, enhancing their profitability.

In the illustration above, a sophisticated algorithm adeptly analyzes debit card usage patterns and presents a future usage forecast using a prominent yellow bold line. This invaluable tool assists the banking sector in accurately estimating the projected withdrawal amounts over the next few years.

Sometimes data is not stationary, trend is not clear enough and there is a huge fluctuation. A simple smoothing method such as cubic spline smoothing provides a reliable prediction interval (blue area) along with a forecast line than a traditional forecast method such as Arima, Prophet, Neural Network and so on.

Accurate forecasting hinges on a clear understanding of sales patterns beforehand. Seasonal plots serve as a valuable tool for illuminating the underlying seasonal patterns, offering special insight into identifying years when these patterns undergo transformation.

How to use SalesInsight & SalesForecast

Insight Analysis

Forecast Analysis

Live Demo on Forecast Analysis

Daily Customer Flow Forecast For Hotel Industry

Dataset: Google Sheet

Live: Forecast

Hourly and Daily Forecast from Hourly Time Series

Dataset: Google Sheet

Live: Forecast

Hourly and Daily Forecast from Minute Time Series

Dataset: Google Sheet

Live: Forecast

Live Demo on Insight Analysis

Daily Customer Flow Analysis For Hotel Industry

Dataset: Google Sheet

Live: InsightAnalysisHotel

Hourly Customer Flow Analysis for a Retail Shop

Dataset: Google Sheet

Live: HourlyTimeSeriesAnalysis

Minute Time Series Analysis of Call Center

Dataset: Google Sheet

Live: MinuteTimeSeriesAnalysis

Predictive Analysis Demo

Product Link

Instructions

  1. Click on the Product Link.
  2. An input field (Upload Link) will appear in the left top corner.
  3. Copy One of Data Web Link and paste into the input field (Upload Link).
  4. Wait for a few seconds for results as sales data is big enough (54000 rows).

Predictive Analaysis

Why SaleForecast

Identify Sales Pattern

Graphical overview of sales can help a business to visualize if there is any seasonal pattern that are affecting on daily or hourly sales in a significant time. 

Make Strategic Decisions

By watching an accurate sales forecast, a business manager can decide to hire new employees, raise targets, or control expenditures.

Material Requirement Planning

By knowing the future demand, the availability and necessity of the right quantity and quality of materials could be ensured.  

More Accurate Budgeting

Forecasting enables a team to create profit plans and plan for income flows. In the long run, it is very important to ensure.

Who needs SaleForecast

Shop Owner

A shop owner who want to see the future hourly or daily sales. 

Travel Agency

A travel agency who want to see,  hourly or daily rese rvations forecast.

Stock Holder

A stock market holder who wants to see a future demand from the stock market. 

Hotel Owner

A hotel owner who wants to the upcoming future reservation, half-day, daily or weekly.

Our Pricing

Insight Analysis

$29/ M

  • Minute, Hourly and Daily Data
  • Access From Any Device
  • Fully Online Based
  • Email Support 24/7

Forecast Analysis

$29/ M

  • Minute, Hourly and Daily Data
  • Access From Any Device
  • Fully Online Based
  • Email Support 24/7

Insight & Forecast Analysis

$59/ M

  • Minute, Hourly and Daily Data
  • Access From Any Device
  • Fully Online Based
  • Email Support 24/7

Tools & Technology Used

Meet The Team

Jaman Miah

Founder

My area of expertise lies on Time Series data analysis on identifying hourly and daily sales patterns to gain valuable insights.

Link: www.linkedin.com/Jaman

Md. Sidul Islam Moon

R/Shiny Developer

As a proficient R/Shiny developer, I specialize in creating interactive and dynamic web applications that empower data analysis.

S.M. Owadud Rahman Shohan

Data Scientist

I'm a versatile data analyst adept in R, passionate about crafting interactive data-driven apps with Shiny.

Abdullah Al Maruf

R/Shiny Developer

As a R/Shiny developer, I design intuitive and user-friendly interfaces that allow seamless interaction with complex data sets.

Data Privacy

Our software is online based and fully automated. So, you don't need to handover your data

Contact Us

Hemelrijken 4, 5612 LD
Eindhoven
The Nethelrands

Email: info@missionx.nl
WhatsApp: 0031-616868666
Phone Nr: 0031-616868666

Company Info

Growsale

KvK Nr: 89347250
VAT Nr: NL864953860B01

Request Demo