Data Monetization Platform for Consumer Commerce

Our story

Our team has been working for 10 years in leading IT Vendors (IBM, Oracle, Nielsen, SAP etc.) and one day we have realized that most of analytical solutions are focused on top consumer commerce companies. Projects are too slow, Prices are very high, Lack of customization, No respect. So, we have founded GoaProfit to help mid-size companies to win on the market.

Retail problem

Weekly year-over-year in-store and online sales growth due to the coronavirus (COVID-19) outbreak In the United States in 2020
Weekly growth in YOY retail sales due to COVID-19 in the U.S. 2020, by channel

Covid has changed Retail industry. It became more digital, faster and more competitive. Margins are in risk.

Not all Retailers were able to survive

In response, and to remain competitive, retailers are adjusting prices more frequently than ever before.
From Century 21 to Lord & Taylor, Main Street bankruptcies continue as pandemic deepens

The coronavirus has seemingly spared no one in its devastation of the U.S. economy, speeding up the demise of iconic department stores, gyms, and entertainment giants.

Category managers & Pricing analysts challenges

She lacks the capability to always be competitively priced and drive sales, profit and customer loyalty
Can't react quickly to competitor price changes

Difficult to maintain competitive prices for all products due to size of online assortment

Lack of insights to help inform price decisions

Unable to coordinate online and store prices

Spends more time tracking prices than developing winning price strategies

Data Analytics Platform

Eliminates data silos and auto-switches related data together using AutoML. Identify, Integrate & cleanse in an automated fashion, helping gain rapid value from your data in days not months.
Blazing fast
Linearly scalable
Feature-rich
Hardware efficient
Fault-tolerant
Highly reliable

Personalized interfaces

Low code approach allows us to build a customize user interface which 100% fits their business current process with all relevant metrics and graphics.

Predictive and Prescriptive insights driven by data science

Self learning models (Auto-ML) with build in features (elasticity, base demand, seasonality, weekdays, holidays, local trends, inflation)
Model Quality monitoring
Fast optimization (PyTorch)
Neural Networks to improve demand forecasting
Open modelling (all parameters can be reused for other clients)

Our story

Our team has been working for 10 years in leading IT Vendors (IBM, Oracle, Nielsen, SAP etc.) and one day we have realized that most of analytical solutions are focused on top consumer commerce companies. Projects are too slow, Prices are very high, Lack of customization, No respect. So, we have founded GoaProfit to help mid-size companies to win on the market.

Pricing capabilities

Execute real-time, intra-day, online pricing recommendations at scale and speed.
Maintain competitive position, protect margin, adhere to product relationships and other pricing policies.
Apply price sensitivities to determine reaction to competitor changes and market fluctuations.
Intuitive dynamic pricing system, designed for and with pricing analysts, category managers and merchandisers.
Tailor responses to make more intelligent pricing decisions.
Use data and insights from physical stores to influence and price confidently online.
Coordinate prices across channels to maximize sales, profit and customer loyalty.
Incorporate data from 3rd party price intelligence providers.
Easy set up, automated processes and data visualizations.
Users can focus on critical pricing activities, manage by exception and save hours a day.
Achieve desired business outcomes faster.

Pricing Features

Data management. It allows to obtain, process, clean all needed customer data (POS, Products, Stores, Inventories, Prices, Costs, Competitors etc.). Built-in data health monitor alerts on data problems.
Pricing rules. 15+ fully configurable pricing rules which can meet any pricing strategy. (gross margin, competitor, zone, cross-zone, line groups etc.)
Price approval process. Price change analysis. Approve, Reject, Override of recommended prices. Collaborative approval pricing process between pricing analysts and category managers.
Reports & Dashboards. More than 200 metrics are available out of the box (sales, margins, sell thru, price index etc.) but users can configure reports by themselves. Any aggregation level (SKU – Store – Day). All data in available in real time.

Benefits

Increase revenue by 5%
Save up to 50% hours spent on pricing
Financial justification
For example, chain X with a turnover of $ 0.5 billion and a gross income of 20%. By raising your gross income by 5%, you can get an additional 5 million dollars a year. with a total cost of implementation of $200 thousand per year.
Improve gross margin by 10%
Get full visibility on business performance
* Based on data in similar projects for price optimization
Why GP
Low cost
GoalProfit Platform is designed to help make all critical business decisions. We build tailored-made intelligence solutions with a low cost of maintenance for consumer business. Our mission is to democratize big data, make it affordable for 99%
01
Fast
Blazing fast processing of massive amounts of data. Our Data Management System allows us to generate analytical reports in real-time. 100-1000x faster than traditional approaches. Within seconds, uncover insights from billions of records in real-time
02
Smart
Embedded Data Science engine provides actionable insights and recommendations. You will get optimized prices, promotions, assortments and markdowns.
03
Tailored
Business intelligence is available out of the box. Build your own dashboards and reports on fly to have a 360 degree view on your business performance.
04
Easy use
Low-code development platform provides a development environment used to create application software through graphical user interfaces and configuration instead of traditional hand-coded computer programming.
05

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