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AI-DRIVEN COMPANY

Demand planning and forecasting software with artificial intelligence

DemandSolve and ForecastSolve for forecasting, demand planning and S&OP, plus specialized consulting. From Panama for all of the Americas.

DemandSolve · Forecast Dashboard Illustrative data
Forecast Accuracy
87.4%
▲ +12% vs previous
Inventory Coverage
18.2d
▼ −3.1d optimized
Service Level
96.1%
▲ +4.2% this month
Forecast vs Actual · Last 6 months
Forecast
Actual
MAPE reduction −25%
Hours saved −40%
ML-First
technology approach
5+
years of experience
S&OP
specialization
América
region served
Business solutions

Two solutions to forecast and plan demand

ForecastSolve for the planner who works in Excel. DemandSolve for the team that needs a complete, multi-user process integrated with the ERP. Different scope, same way of working.

FORECASTSOLVE · FOR THE PLANNER

Demand forecasting in Excel with machine learning

An Excel add-in that runs a tournament of 20+ statistical and machine learning models per item and picks the best one. No data migration, no implementation project, and no leaving the spreadsheet you already use.

  • Model tournament per item: exponential smoothing, ARIMA and machine learning, with automatic winner selection
  • Demand classification (smooth, erratic, intermittent) with Croston and SBA methods for intermittent items
  • Aggregation-level analysis: at which level to forecast and how the forecast breaks down
  • Monthly S&OP cycles with cycle-to-cycle comparison and item substitutions
  • Local engine: your data stays on your computer
THE DATASOLVE LADDER
  1. ForecastSolve
    1 planner, in Excel
  2. DemandSolve
    1 team, multi-user, ERP integration (optional)
  3. PlanSolve
    the whole company, integrated business planning (in development)

Each step serves more people inside the same company. You move up when the process calls for it, not before.

DEMANDSOLVE · FOR THE PLANNING TEAM

Precise forecast.
Optimized inventory.
Focused team.

DemandSolve integrates your sales, inventory and market data to generate reliable projections with machine learning, reducing forecast error and freeing your team to analyze and decide.

  • Multiple statistical models + adaptive Machine Learning per SKU
  • Customizable business rules (seasonality, promotions, events)
  • KPI Dashboard: MAPE, Bias, Coverage, Fill Rate
  • Integration with ERP and existing data sources
  • Integrated collaborative S&OP process
TYPICAL RESULTS SUMMARY
Forecast error reduction −25%average
Inventory savings 15–20%capital freed
Manual time eliminated −40%hours/week
Service level improvement +5–10%fill rate
Implementation time 4–8 semaverage
YEAR 1 ROI
depending on operation size
3x – 8x
Services

Six demand planning and S&OP services

Schedule a call →
01
Demand Planning Advisory

We evaluate and improve your Demand Planning processes with market best practices. From diagnosis to implementation.

Consulting Learn more →
02
Machine Learning Forecasting

We generate your business forecast with advanced statistical models and Machine Learning algorithms for maximum accuracy and automation.

Forecasting Learn more →
03
Sales & Operations Plan (S&OP)

We implement and manage your S&OP process with best practices, collaboration tools and end-to-end visibility.

S&OP Learn more →
04
Dashboards & Reports

Business KPIs, control panels, and evolution reports so you can monitor your operation in real time.

Reporting Learn more →
05
Demand Planning & S&OP Training

Specialized workshops and courses in Demand Planning and S&OP processes, designed for planning teams in Latin America.

Training Learn more →
ROI Calculator

How much can your company save by automating demand forecasting?

Enter your operation data and calculate in seconds the estimated savings in time, inventory, and operating costs.

Illustrative assumptions based on typical ranges for ML demand-planning projects; not audited DataSolve client results.

Based on a 40% reduction in manual data processing hours
Average of 15–20% inventory reduction through ML-improved forecasting
Typical ROI of 3x to 8x in the first year of implementation
I want a personalized analysis →

ROI Calculator · DemandSolve

Adjust the values for your operation

Hourly cost used $11 USD / h
4
10 h
$500K
35%
832 h
hours saved / year
$32K
inventory reduction
$41K
estimated ROI / year

* Estimate based on 40% savings in manual labor at $11 USD/h and 15% inventory reduction with ML. Assumptions are illustrative, not audited client results. Actual results vary by operation. Other savings not included: inventory carrying costs (tied-up capital, storage, obsolescence), additional time and effort costs (rework, corrections, meetings), and improvement in customer service level (recovered sales, retention).

Why DataSolve

Measurable results from the first month

Save time and effort

We automate data processing with Machine Learning so your team stops living in Excel and focuses on strategic decisions.

−40%
time in manual processing
Better inventory & service

A more accurate ML forecast means fewer stockouts, less excess inventory, and more satisfied customers. Better numbers in your P&L.

96%
target fill rate with a well-calibrated forecast
More productive team

Our solutions optimize planning team management with collaborative tools and end-to-end S&OP process visibility.

3–8×
ROI in the first year

Illustrative figures: they show the usual order of magnitude in ML forecasting and demand-planning projects. They are not audited DataSolve client results.

How we work

From the first call to results in weeks

1
Diagnosis

We understand your operation, data, and current S&OP and Forecast processes. We identify the highest-impact opportunities.

2
Design

We define the solution (consulting, DemandSolve or AI automation) with a clear roadmap and a projected ROI.

3
Implementation

We deploy the solution alongside your team. We train, integrate with your systems, and adjust until target results are achieved.

4
Support & Improvement

We monitor the operation, track KPIs, and continuously evolve the solution as your needs grow.

Who we are

Supply chain engineers who build with AI and machine learning

We are a multicultural team based in Panama. Our mission is to facilitate, improve and add value to forecasting, demand planning and S&OP processes with AI and machine learning, for businesses across the Americas.

Data Analytics
Data processing, cleaning, and infrastructure for real-time decisions.
Supply Chain
Demand, supply and production: integrated planning with best practices.
Machine Learning
Statistical models and ML algorithms to automate and optimize operations.
Project Management
Project and business management focused on measurable results.
Frequently asked questions

What we get asked before starting

Short answers to the questions that come up most on the first call.

What is the difference between ForecastSolve and DemandSolve?

How many people take part. ForecastSolve is an Excel add-in for one planner: local engine, model tournament, S&OP cycles, no implementation. DemandSolve is a multi-user solution for the team: roles, approvals, business rules and optional ERP integration. Same modeling approach, different scale.

How many items and how much history do I need?

From a few dozen to a few thousand SKUs. Ideally 24 months of monthly sales per item to capture seasonality; with less, simpler methods are used. A CSV extract from the ERP is enough to start.

Does it work with intermittent demand or items that barely sell?

Yes. Every series is classified before modeling and intermittent ones use methods designed for them (Croston, SBA). In distribution and spare-parts catalogs it is normal for a third of the items to be intermittent.

Do I need to integrate the ERP?

Not to start. ForecastSolve loads from CSV or from the sheet. DemandSolve can start with periodic extracts and add the integration once the process is stable.

Does my data leave the company?

With ForecastSolve, no: the engine runs on the planner's computer. With DemandSolve, data lives on a dedicated server that DataSolve provides and manages, with remote access per user and permissions. In consulting we work with extracts under a confidentiality agreement.

How do I know the forecast is better than what I have?

Because we measure it on your own past months before you trust it: we simulate what we would have forecast six months ago and compare it with what you sold, against your current method. If we do not beat it, we tell you.

How much does it cost?

It depends on scope. ForecastSolve, for one planner in Excel, costs from USD 400 per month. DemandSolve, for the planning team, from USD 3,500 per month. Consulting is quoted per project. In 15 minutes we give you a concrete figure for your catalog.

Do you work outside Panama?

Yes, across the Americas, in Spanish, English and Portuguese, by video call. We visit the operation when the project calls for it.

Ready to improve your demand forecast and your S&OP?

Schedule a 15-minute call. We will show you exactly how DemandSolve can impact your operation: no pitches, just concrete recommendations.

Book 15 minutes →