---
description: ForecastXを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！
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title: ForecastXとは？ | 機能や料金、導入事例をご紹介【キャプテラ】
---

現在地表示: [ホーム](/) > [販売予測ソフトウェア](/directory/30930/sales-forecasting/software) > [ForecastX](/software/1389/forecastx-wizard)

# ForecastX

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> ForecastXは拡張可能で、他に類を見ない統計機能をExcel上で提供します。
> 
> 評価：7人のユーザーによる評価は**4.4/5**。**おすすめ度**で最高の評価。

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## 概要

### ForecastXの対象ユーザー

ForecastXは、世界中の幅広い業界において何千もの需要計画プロセスの成功の基盤となっています。

## 簡単な統計と評価

| 測定基準 | 評価 | 詳細 |
| **総合評価** | **4.4/5** | 7 レビュー |
| 使いやすさ | 4.1/5 | レビュー全体に基づく |
| カスタマー・サポート | 4.9/5 | レビュー全体に基づく |
| 価格の妥当性 | 4.7/5 | レビュー全体に基づく |
| 機能 | 4.3/5 | レビュー全体に基づく |
| おすすめ率 | 90% | (9/10 おすすめ度) |

## 企業情報

- **キャプテラについて**: John Galt Solutions
- **ロケーション**: Chicago, アメリカ
- **設立**: 1996

## ビジネスコンテキスト

- **価格プラン**: $59.00
- **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000, 1,001～5,000, 5,001～10,000, 10,000+
- **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース, Windows（デスクトップ）, Windows（オンプレミス）, Linux（オンプレミス）
- **サポートされる言語**: 英語
- **利用可能な国**: アイスランド, アイルランド, アメリカ合衆国, アラブ首長国連邦, イギリス, イスラエル, イタリア, エルサルバドル, オランダ, オーストラリア, カナダ, ギリシャ, グアテマラ, コロンビア, シンガポール, スイス, スウェーデン, スペイン, スロバキア, タイ さらに27件

## 機能

- パイプライン管理
- 販売レポート

## 統合 (合計1件)

- Microsoft Excel

## サポートのオプション

- メール/ヘルプデスク
- FAQ/フォーラム
- ナレッジベース
- 電話サポート
- チャット対応有

## Category

- [販売予測ソフトウェア](https://www.capterra.jp/directory/30930/sales-forecasting/software)

## 代替製品

1. [Salesforce Sales Cloud](https://www.capterra.jp/software/61368/salesforce) — 4.4/5 (18768 reviews)
2. [SKU Science](https://www.capterra.jp/software/1012495/sku-science) — 4.6/5 (14 reviews)
3. [NetSuite](https://www.capterra.jp/software/135757/netsuite) — 4.2/5 (2003 reviews)
4. [Workday Adaptive Planning](https://www.capterra.jp/software/130072/adaptive-insights) — 4.5/5 (230 reviews)
5. [Upmetrics](https://www.capterra.jp/software/171456/business-plan-software) — 4.9/5 (114 reviews)

## レビュー

### "Worth it" — 5.0/5

> **Elizabeth** | *2019年8月9日* | 消費財 | おすすめ評価：10.0/10
> 
> **良いポイント**: -It took away a lot of manual work we were doing&#10;-It helped educate our team on a number of different ways we could be forecasting that we hadn't considered&#10;-I actually purchased the book that goes along with the software and it goes through the basics of forecasting all the way into different use cases and sophisticated strategies to consider
> 
> **改善点**: Currently we only have one team member using the forecasting software so it works great. If we wanted more visibility from other team members into the software, I believe we'd need to buy another license, not really a downside, just a consideration to keep in mind.
> 
> We were forecasting with Excel formulas and dealing with huge swings of over or underproduction, and both were costing us. ForecastX was a great investment and immediately improved the accuracy of our forecasting (from 78% to 95% accuracy). The one on one training helped us dial in our forecasting methods and now we're confident in our numbers; it’s relieved a lot of pressure through our whole process\!

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### "Easily Mastered, but Powerful in Use\!" — 5.0/5

> **Barry** | *2020年7月1日* | Eラーニング | おすすめ評価：10.0/10
> 
> **良いポイント**: ForecastX is not just a single piece of software; it is a progressive tool that grows with the user. The ForecastX Wizard (an Excel add-in) lets the new user begin with a powerful suite of tools which can be mastered one at a time with a great user manual and help feature.&#10;When the user requires more collaborative tools, or easier access to corporate data, the Atlas tool can be used. Interestingly, everything learned in the Wizard is immediately applicable, with identical menus and options in, Atlas.&#10;The graduated menu system guides both new and very skilled users in selecting appropriate options for each type of model available. Every classical forecasting technique is present in ForecastX, as well as a number of newer, forward looking tools.&#10;You could think of the tools (or models/algorithms) as divided into two categories. First, all the standard time series models are available (e.g., moving averages, all the smoothing models, decomposition, etc.) with some additional feature add-ones that are unavailable in software such as SAS or SPSS. Secondly, all the demand planning, or causal, models are also included.&#10;Every technique will display a complete set of diagnostic statistics that let the user evaluate precisely how well the model is likely to perform in the real world. Numerous graph options are provided in the results. There is nothing “behind the veil” here\! The user can see exactly how the results were achieved; this is not “black box” software.
> 
> **改善点**: Because the results, both numeric and graphical, are presented in an Excel compatible format, it is easy to export results in a number of ways. But perhaps the exporting features could be strengthened.
> 
> I have used ForecastX for more that a decade; competitors have come and gone. During that time ForecastX has been improved, formats have been updated, and many new features have been added, This is not a static package. No other competitor offers more support than ForecastX; if online support is not enough, it is easy to reach a real person to help solve your issue. ForecastX provides both online and face-to-face training for its product. You might be surprised how much you can learn in a day or two, even if you are starting from scratch\!

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### "ForecastX Review" — 3.0/5

> **David** | *2023年11月1日* | 食品、飲料 | おすすめ評価：9.0/10
> 
> **良いポイント**: The solution is incredibly inexpensive and easy to startup.  Companies deploying S\&amp;OP often do so without a lot of broader engagement, support, and investment.  When your only tools are your history and MS Excel, this speeds up your path to a forecast exponentially and very quickly gets you with a baseline to begin to engage the business to improve. If you build yourself a path to having the data archived in a format that works and to archiving your previous cycle demand planning data, ForecastX is an excellent bridge tool to get your Demand Planning process started.
> 
> **改善点**: The "cons" are not the fault of ForecastX.  ForecastX is a very good enhancement to an otherwise very manual process.  Data prep, archiving, and having standard work to the "Data prep" portion of the S\&amp;OP while utilizing ForecastX is critical because it's not systematized into an automated workflow like in your typical IBP/ERP deployment integration.
> 
> For a company that is getting started in S\&amp;OP and the process is manual, for the cost and benefit of easily calculating a statistical baseline I'm not sure how a company would get started without it.  Obviously an integrated planning solution investment is a better experience as a user, but if you're getting started in your journey and that investment isn't yet viable I'm not sure how you get started well without a ForecastX to get going.

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### "Flexible and reliable Forecast tool" — 5.0/5

> **Ernesto** | *2022年5月6日* | 食品、飲料 | おすすめ評価：9.0/10
> 
> **良いポイント**: The flexibility of usage allows you to improve  or confirm your forecast signal just with few extra steps. Also, the parameters  for forecast accuracy, as well as other statistical factors, are very valuable to understand the reliability of the signal.
> 
> **改善点**: I think an option to use grouping and events forecast together would be very valuable.
> 
> I have modelled different situations, from single items to grouping items to events and New Products (Recent Products) launches as well.

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### "Forecast X review" — 4.0/5

> **Mike** | *2022年7月28日* | 病院、ヘルスケア | おすすめ評価：10.0/10
> 
> **良いポイント**: The software is quick and mostly accurate when generating forecasts. Running quick check of the forecast is very easy. Lots of different forecast methods to use when forecasting.
> 
> **改善点**: There are so many features to use it is hard to know which ones to use and how it will effect the forecast that you generate. It would be nice to see in the software itself a how to explanation on what the various features can do instead of having to read through the manual.
> 
> Very satisfied with forecast X, it is great at generating a quick forecast that is mostly accurate.

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