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2025’s Best AI-Driven Sales Forecasting Software

01. Streamline 👈 our favorite platform

Price: The free edition is free forever

Sales Forecasting Software Tool

Overview: Streamline is the industry-leading Sales Forecasting Software Platform for fast-growing enterprises.

Headquartered in New York, Streamline has over 200 implementation partners worldwide and thousands of enterprise customers who rely on its AI-powered platform to accurately forecast demand and optimize inventory. The platform helps fast-growing manufacturers, retailers, wholesalers, and distributors to operate more efficiently, reducing costs and increasing profits.

Pros:

  • Enterprise-grade platform
  • Multi-echelon planning
  • Integrated Business Planning (IBP)
  • A wide range of advanced features and customizations
  • Quick implementation time
  • Multiple ERP integrations
  • 99%+ inventory availability
  • AI-driven demand forecasting
  • Out-of-stock reduction by up to 98%
  • Excess inventory reduction by up to 50%
  • Planning time optimization by up to 90li>
  • Best long-term ROI

Cons: Some features require user training

Platform: Web-based

Deployment options: Cloud or on-premise

Market Segment: Enterprise

“If you are using Excel spreadsheets for Demand & Supply planning, move quickly to this software that will certainly make your planning much more efficient, capitalize benefits very fast, and make your life much easier.”


A Sales Forecast is a prediction of sales revenue based on the analysis of historical sales, market conditions, and salespersons’ estimates. Sales revenue affects all aspects of a business, thus making accurate sales forecasting integral to informed business decisions.

Benefits of the Streamline’s sales forecasting solution:

GMDH Sales Forecasting Software System and Tools

1. Fast and intuitive user interface

Streamline software is both efficient and effective, allowing you to focus on long-term goals and business growth.

2. Seamless integration of company data sources

Bidirectional connectivity enables data import from your sales system into Streamline and allows for automatic export of forecasted order information back to your ERP system.

3. Smooth and fast implementation process

Successful implementation requires coordination of various factors. The Streamline team is well-versed in the diverse sales and ERP systems available today, ensuring your team is fully prepared for a smooth go-live.

4. Aligned with your business processes

Sales Forecasting Software should align with your business goals and processes. Factors to consider when selecting a system include total cost of ownership, reliability, quality of support, and the ability to evaluate all features before making a decision.

5. Syncing ordering dates across SKUs

What do you do if your Min/Max replenishment strategy built-in into the ERP system throws a purchasing signal for one SKU, but other SKUs of the same supplier do not need replenishment yet? Min/Max ordering signals come per item while businesses issue purchase orders per supplier. So you either ignore the alert and have a shortage later or purchase a full container excessively. As opposed to ERP methods, Streamline raises purchasing signals per supplier. Streamline software predicts all purchasing signals during the next order cycle via a discrete-event simulation and purchases beforehand to have a smooth purchasing process with constant order cycle, or purchasing full containers (order cycle is variable), or EOQ.

6. Replacing spreadsheets formulas with discrete-event simulation

Streamline uses discrete-event simulation instead of static formulas, building a one-day resolution timeline to model real-world inventory flows. This enables more accurate planning and accommodates complex supply chain scenarios that Excel simply can’t handle.

While our other solutions usually simplify calculations without colliding events realistically, Streamline creates a timeline with a one-day resolution and puts all schedules onto the timeline. Then Streamline executes the event sequence giving us the most accurate information about the company’s inventory levels with one-day precision. Sometimes it’s just a more precise method compared to replenishment formulas, but in many cases, it’s the only way to accommodate for the real-world supply chain complexity.

7. AI-powered demand forecasting

Estimating seasonality, price elasticity, or top-down forecasting is not enough nowadays. Market changes very dynamically, and it’s hard to predict if your history of sales is yet relevant enough to the current situation and can be used to extrapolate into the future. That’s an area where we use our proprietary AI, so we only apply time series forecasting techniques, predictors, and level changes if AI says it’s appropriate to apply – just like if you are keeping an eye on every SKU every day.

8. Group EOQ (Economic order quantity) optimization

Are you using EOQ in your work? If not, it is worth giving EOQ a closer look as this inventory planning concept significantly reduces your holding and ordering costs. Unfortunately, classic EOQ is calculated per SKU and not a group of SKUs. In a real-world supply chain, purchase orders contain several SKUs, if not hundreds. While Streamline supports classic EOQ calculation, it also offers group EOQ that goes far beyond the traditional approach making EOQ applicable to purchase orders with groups of SKUs.

That becomes possible thanks to the ability of Streamline to sync the order date for a group of items. Then Streamline moves the synchronization barrier back and forth to find the best order cycle for the group of SKUs and automatically minimizes the combination of holding and ordering costs.


Price: Request Streamline pricing.

Demo: Get a demo.


Sales forecasting in Streamline

Let us take a closer look at Streamline features specific to sales forecasting:

Get a demo with Streamline experts to see how you can improve the sales forecasting process in your company.

Still relying on manual work in Excel for planning?

Automate demand and supply planning with Streamline today!

  • Achieve optimal 95-99%+ inventory availability, ensuring you can meet customer demand consistently.
  • Attain up to 99% forecast accuracy, getting more reliable planning and decision-making.
  • Experience up to a 98% reduction in stockouts, minimizing missed sales opportunities and customer dissatisfaction.
  • Cut excess inventory by up to 50%, freeing up valuable capital and storage space.
  • Increase margins by 1-5 percentage points, boosting overall profitability.
  • Enjoy up to 56 times ROI within one year, with a 100% ROI achievable in the first three months.
  • Reduce the time spent on forecasting, planning, and ordering by up to 90%, allowing your team to focus on strategic activities.

Watch the sales forecasting capabilities video

See the key features and benefits of the Streamline platform in action.


Streamline easily integrates with your ERP system or multiple at once

The solution provides bi-directional integrations with any data source, ERP system, or multiple at once, including: ODBC, Custom API, Excel, SAP ERP, SAP S/4HANA, SAP Business One, Oracle NetSuite, Oracle JD Edwards EnterpriseOne, Microsoft Dynamics 365, Microsoft Dynamics 365 Business Central (BC), Microsoft Dynamics GP, Microsoft Dynamics NAV, QuickBooks Online, QuickBooks Desktop Enterprise, Odoo, Extensiv Order Manager (Skubana), Spire, Unleashed, Cin7, Fishbowl, Shopify, Sellercloud, Exact Online, Finale Inventory, Acumatica, Pronto Xi, and other systems.

Sales Forecasting Software Features

Accurate Statistical Forecast

Inaccurate forecasts might be even more dangerous than their at all.

Many forecasting products use “model fit” to determine which forecasting algorithm to use. This approach promotes models that may look great on current data instead of making accurate predictions on future data – this issue is called “overfitting.” That is why Streamline software uses unique algorithms to create models that thoroughly analyze the data, generate statistical models on the current periods, and provide more accurate forecasting predictions.

Forecast Approval System

Do you need to collaborate with your colleagues to develop your forecasts?

Our forecast approval system provides you an opportunity to manage your forecasts with others, allowing each SKU to have a status of Approved, Unapproved, or Needs Attention. Approved SKUs are locked from further changes.

Revenue Planning

Do you need to know your sales forecast for your next period(s)?

Streamline can import sales prices and sales history, allowing revenue forecasts to align with demand forecasts.

Flexible Manual Adjustments

How do you make your forecast responsive to additional factors?

For many businesses, the final forecast is a consensus between statistical projections and management/planner assumptions.

Streamline provides an environment where you can manage, reevaluated, and modified forecasts based on additional information available internally by your management team or provided by your vendors and suppliers.

New Products Forecasting

Do you have new units that replace discontinued products or any very new commodity with limited market history?

Not a big deal! Streamline can link such profiles to the sales history of similar, existing products (substitutions) or set seasonal coefficients. This approach allows you to get a reliable forecast for those fresh items as well.

Sales Forecasting Software Definitions


What is demand forecasting?

Demand forecasting is a process of understanding and predicting customer demand for a particular product or category. This process is based on the analysis of historical data of sales and market trends, with the following forecast based on the statistical forecast models such as seasonal, linear, or constant trend. The Supply chain management process depends on the future customer’s demand and the accuracy of trends prediction. That’s why demand planners take into account forecast accuracy and forecast error levels when doing demand forecasting. This is easy to get the most efficient levels using Streamline for demand forecasting. Streamline provides accurate demand forecast by using a build-in expert system that automatically analyzes each item for levels, seasonality, trends, and intermittency.

What is demand planning?

Demand planning is a business process of outlining and management of customer demand for products and services. Planning of a customer demand consists of a statistical forecast using the most appropriate model. As a result of the demand planning process, a company gets a sales plan that initiates a service-planning process, production, inventory planning, and revenue planning.

What is revenue planning?

Revenue planning is about the management of the resources in the company. In order to accomplish the expected revenue, the following things should be taken into account: analysis of existing resources, planning expected expenses and/or investments in your business. Streamline warns you about excess or lack of inventory by highlighting these items in the inventory report. It also calculates the turnover of each item and gives the trend in the future based on the forecast.

What is inventory planning & optimization?

Inventory planning means the process of managing on-hand items as well as making timely orders to determine the optimal quantity and to prevent overstocks and stockouts. The process of inventory optimization aims to balance between stock-keeping units (SKUs) and working capital to get the maximal income. Streamline has powerful capabilities for optimizing inventory levels, calculating safety stocks, and generating optimal purchasing plans. It also allows filtering items by supplier and road the order of different products to fit a container capacity the best.

What is material requirements planning?

Material requirements planning (MRP) is a process that includes a production planning, scheduling, and inventory control system used to manage manufacturing processes. In order to calculate what material is required and when an order can go into production, an MRP process takes into account information on the Bill of Materials (BOM), production plan, and material plan. Streamline allows you to generate a plan of material requirements based on the demand forecasts of finished products and a bill of materials (BoM).

What is the timeline for the implementation of Sales Forecasting Software?

Overall, the process takes 9-12 weeks.

Implementation Roadmap

  1. Project Kick-off – Weeks 1-2
    • Identify stakeholders
    • Define roles and responsibilities
    • Create a timeline
    • Perform detailed requirement analysis
    • Define success criteria
    • Arrange a communication plan

  2. Deployment – Weeks 3-4
    • Server Installation
    • Server setup, configuration, and validation

  3. Data upload and verification – Weeks 5-8
  4. Connection, configuration, verification, stress testing, and use case validation for:

    • Transactions: sales history, provision history, etc.
    • Item information: Item list (SKUs, categories/families/groups, Locations, Channels)
    • Inventory: on hand, in transit
    • To Ship / To receive (open Sales Orders, Purchase Orders)
    • Bill of materials (BOMs)
    • Create Streamline project .gsl file
    • Users/Permissions setup
    • Supplier information: lead time, minimum order quantity, etc.
    • Other required functionality (e.g., promotions, inter-site transfers, replacement/substitution rules)

  5. Training – Weeks 9-11
    • General training for all stakeholders
    • In-depth live session: Demand Forecasting
    • In-depth live session: Inventory Planning
    • One-on-one Administrator training
    • Follow-on Q&A workshops
    • Overview of online course and User Guide

  6. Project review – Weeks 11-12
    • Forecast Review
    • Inventory Review
    • Purchase orders review
    • Transfer orders, Manufacture orders (if required) reviews
    • Reports and Dashboard Review

  7. Testing and Approval – Weeks 11-12
    • Post production test (PVT)
    • Project Deployment sign off
    • Complete roll out!

See what Streamline can do for you




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About the Author:

Alex Koshulko, Ph.D. is a recognized expert in supply chain planning. With over two decades of experience in demand forecasting, inventory optimization, and data-driven planning, he holds a doctorate in Mathematical Modeling. Alex has played a key role in developing AI-powered solutions that help companies boost supply chain efficiency worldwide. His insights have been featured in publications like Forbes, where he explores how AI can transform demand forecasting and solve real-world supply chain challenges.