Sales Trends and Forecast v.16
The tool to calculate sales trends and make predictions for future sales statistically
If future sales are a black box for you, you might hardly make profitable decisions right now. How many items to purchase? Which products require aggressive advertising? Where are the best markets for us for the next year? Luckily, statistics might help if you have enough historical data. This Odoo tool lets you generate sales by periods and apply statistical methods to scientifically forecast further periods.
The scientific approach to forecasting
The app assumes applying statistical methods to calculate historical sales trends and make a forecast. Experiment with statistical models and parameters to achieve the most reliable prediction. Leverage the proven statsmodels methods
Innovative data analysis interface
The tool introduces a special interface to instantly calculate sales series. Flexibly switch between different reports and update settings in a few clicks. Control data in pivot, graph, or chart views. Export series as an Excel tabled
Focused analysis
Shrink considered order/quotation lines flexibly or analyze global company sales. Group data into various series
Topical data
Apply time frames for historical data and work with intervals that are of interest to your industry. Work with past and future periods.
Flexible report configuration
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Introduce as many analytic reports as you need. Each report is based on Odoo's sales lines' data
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Keep reports to re-use them, instantly switch between reports, or experiment with real-time changes without saving those
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Show historical and forecast series as a table, line graph, or bar chart, or export data as an Excel table
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Apply as many and as different statistical models as you want to check. Each stats model will peer its own data series and prediction if the latter is possible. See also the section "Statistical models"
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Define the data periods under analysis by entering a start and end. Only sales within this interval will be included in the series
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Split data series into years, quarters, months, weeks, and days depending on seasons assumed in your industry or business area
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Select an unlimited number of periods to predict future periods or check hypotheses
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Grant the right to forecast tools for any salesperson (the group Sales > Sales Forecast)
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Filter sales data by product categories, product templates, product variants, sales teams, salespersons, countries, industries, specific customers, and companies (for multi-company regimes). Introduce your own criteria based on Odoo's dynamic domain constructor, so shrink analysis by any sale line storable fields
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Analyze a sales total, an untaxed total, an untaxed total to invoice, gross weight, or volume
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Introduce a few data series simultaneously with grouping by a product category, a product template, a product variant, an order state, a team, a salesperson, a country, an industry, a customer, or a company
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Hide/show general statistical measurement of series: count, mean, standard deviation, minimum, maximum, 25%, 50%, and 75% factors
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Optionally compare predicted values to real historical data if any. See also the section "Hypothesis Testing"
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Make figures human readable (e.g. 192,217 as 200k) or show them precisely.
Statistical models
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The tool allows calculating sales trends based on predefined statistical models introduced by the Python package statsmodels
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Methods have different complexity, and their own unique parameters, and might be suitable for a definite market or a specific business. The final choice of the model and related statistical parameters is only up to you. Nobody except you can better understand tendencies in your company sales, and hence which methods and factors should be applied
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Available statistical models are Autoregression (AutoReg), Autoregressive Distributed Lag (ARDR), Autoregressive Integrated Moving Average (ARIMA), Seasonal Autoregressive Integrated Moving-Average (SARIMAX), Holt Winter's Exponential Smoothing (HWES), Simple Exponential Smoothing (SES)
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For deep details about what each stats model means and which parameters might be applied, look through the tab "Help" on the stats model form
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Keep and use an unlimited number of stats models with various parameters. Check, compare, and update those flexibly through the forecast manager interface
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Often models with specific parameters will not result in any prediction or the prediction will be unrealistic. This is normal, only a deep understating of trends and much experimenting might give a viable forecast for your specific case.
Hypothesis Testing
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To get a proper prediction, it is usually needed to experiment a lot with statistical models and introduced parameters. To check the results, the app allows compare forecast data with real values
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To check a certain assumption with historical values, you may make an analysis and prediction for some past periods, and turn on the setting "Hypothesis testing"
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For example, you have sales orders from 2017 to 2022. Then, you can get report historical data for 2017-2021, and make the forecast for 12 months of 2022. In this way, you will get the prediction for the interval for which you already have actual values. By comparing forecast and actual values, you can decide whether a chosen model and factors are good enough
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The app allows checking the hypotheses for a few stats models simultaneously. In this way, it is possible to reveal what is actually the most appropriate, or whether experimenting should be continued.
Usage requirements
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To reveal trends, there should be enough historical sales data. It is senseless to make a forecast based on the last 5 days of sales since no trend cannot be retrieved. Take into account that data should be enough for the chosen filters and for each grouped series
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There should be not only enough sales lines but also there should be some actual trends. Chaotic data will not result in reliable predictions. To use the app, you should understand which assumptions (e.g. seasonal changes) you check
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To use the app, you either should have a clear understanding of how statistics works or a will to understand that. Regretfully, there is no way to make a "general" analysis, each specific case is unique and requires its own elaboration.
Tips konfigurasi dan instalasi untuk Sales Trends and Forecast Odoo v.16
Python dependencies
To guarantee the tool works correctly, a number of Python libraries are required: pandas, numpy, statsmodels, scipy, xlsxwriter. To install those packages execute the command:
pip3 install pandas numpy statsmodels scipy xlsxwriter
If you run Odoo on Python prior to or equal to version 3.7, please install the following versions of the packages pandas==1.3.5, statsmodels==0.13.1
Server memory limits
Running the statistical analysis and making the forecast is quite a resource-demanding operation. If users face the hanging interface, make sure that server memory limits and timeouts are enough. Otherwise, increase those settings.
Pertanyaan umum tentang Sales Trends and Forecast Odoo v.16
Apa kebijakan pembaruan alat Anda?
Menurut kebijakan Odoo Apps Store saat ini:
- Setiap modul yang dibeli untuk versi 12.0 dan sebelumnya memberi akses ke semua versi hingga 12.0.
- Mulai versi 13.0, setiap versi modul harus dibeli terpisah.
- Terlepas dari versi, pembelian memberi hak atas semua pembaruan dan perbaikan bug dalam versi mayor.
Perhatikan bahwa tim faOtools tidak mengontrol kebijakan tersebut. Untuk pertanyaan, hubungi langsung perwakilan Odoo Apps Store.
Bagaimana memasang aplikasi Anda di Odoo.sh?
Pendekatan paling langsung adalah memakai alur bawaan toko Odoo:
1. Buka halaman modul dan klik tombol Deploy on odoo.sh
2. Setelah itu Anda akan diarahkan ke halaman GitHub. Masuk ke akun, lalu klik 'Create a new repo' atau pakai yang sudah ada. Pastikan repositori bersifat privat. Tidak diizinkan memublikasikan aplikasi di bawah lisensi OPL-1. Jika perlu, buat repo baru untuk proyek Odoo.sh
3. Lalu buka odoo.sh dan klik tombol Deploy. Di jendela pop-up, kirim keputusan dan klik 'Continue.' Tindakan ini memicu proses pemasangan.
Langkah ini akan memasang aplikasi di cabang produksi proyek. Jika ingin men-deploy aplikasi ke cabang lain atau memperbarui modul, lakukan tindakan berikut:
1. Unggah kode sumber aplikasi dari toko Odoo
2. Commit modul ke repositori GitHub yang diperlukan. Pastikan tidak ada folder/file aplikasi yang diabaikan (yaitu tidak ada di .gitignore repo). Repositori dibuat otomatis oleh odoo.sh dan secara default dapat berisi item penting (mis., /lib). Unggah semua direktori, subdirektori, dan file modul tanpa kecuali
3. Deploy cabang target proyek odoo.sh atau, jika pengaturan Anda mengasumsikan itu, tunggu hingga dibangun otomatis.
Bagaimana memasang aplikasi Anda di server saya sendiri?
2. Mulai ulang server Odoo;
3. Aktifkan mode pengembang (pengaturan teknis);
4. Perbarui daftar aplikasi (menu aplikasi);
5. Temukan aplikasi dan tekan 'Activate'/'Install';
6. Ikuti panduan di halaman aplikasi jika ada.
Saya melihat aplikasi Anda punya add-on tambahan. Boleh beli belakangan?
Ya, tentu. Pada saat yang sama Odoo otomatis menambahkan semua dependensi ke keranjang, jadi Anda harus mengecualikan alat yang sudah dibeli agar tidak membayar dua kali.
Saya men-deploy aplikasi Anda di Odoo.sh dan melihat peringatan/kesalahan di tes
Peringatan merah/oranye tidak memengaruhi fitur aplikasi. Sayangnya, modul kami kadang tidak lulus uji otomatis standar karena uji itu mengasumsikan perilaku yang bertentangan dengan tujuan aplikasi. Misalnya kami mengubah penghitungan harga, sementara uji modul Odoo standar membandingkan harga akhir dengan algoritma standar.
Pertama-tama, periksa fitur basis data yang diterapkan. Apakah semuanya berjalan benar?
Jika Anda masih menganggap peringatan memengaruhi fitur nyata, hubungi kami dan kirim log instalasi lengkap serta daftar lengkap modul yang diterapkan (termasuk inti dan pihak ketiga).
Bolehkah saya membeli aplikasi langsung dari perusahaan Anda?
Tidak, kami hanya mendistribusikan alat melalui toko aplikasi Odoo resmi.
Saya ingin mendapat diskon
Sayangnya, kami tidak punya sarana teknis untuk memberi harga individual.
Bolehkah saya memasang aplikasi di database Odoo Online (SaaS) saya?
Tidak, aplikasi pihak ketiga tidak dapat dipakai di Odoo Online. Sayangnya Odoo SaaS memblokir kemungkinan itu.
Alat Anda bergantung pada aplikasi lain. Haruskah saya membelinya?
Ya, alat memerlukan semua modul yang ditandai di dependensi agar bekerja dengan benar. Harga di halaman aplikasi sudah mencakup semua dependensi yang diperlukan.
Berapa harga modul dalam dolar AS? Mengapa berubah?
Harga modul kami ditetapkan dalam euro. Toko Odoo mengonversi harga ke mata uang lain menurut kurs internalnya. Jadi harga dalam dolar AS dapat berubah saat kurs diperbarui.
Teks aplikasi dan situs dalam bahasa selain Inggris dibantu AI dan diselaraskan dengan terjemahan resmi Odoo. Jika Anda melihat kesalahan, kirim tiket kebenaran terjemahan dan kami akan memperbaikinya.
Database demonstrasi Odoo (pratinjau langsung)
Untuk aplikasi ini, kami dapat menyediakan database demo personal gratis.
Anda tidak perlu nomor telepon atau kartu kredit untuk menghubungi kami. Cukup pendaftaran email singkat yang tidak lebih dari 30 detik.
Atas permintaan Anda, kami siapkan database pratinjau langsung individu, tempat Anda dapat menguji dan memeriksa asumsi selama sekitar dua minggu.
Pelaporan bug
Jika Anda menemukan bug atau perilaku tidak konsisten, jangan ragu menghubungi kami. Kami jamin perbaikan dalam 60 hari setelah pembelian dan tetap ingin meningkatkan alat setelah periode itu.
Anda tidak perlu nomor telepon atau kartu kredit untuk menghubungi kami. Cukup pendaftaran email singkat yang tidak lebih dari 30 detik.
Sertakan sebanyak mungkin detail dalam permintaan: tangkapan layar, log server Odoo, deskripsi lengkap cara mereproduksi masalah, dan sebagainya. Biasanya butuh beberapa hari kerja untuk menyiapkan rencana kerja (jika bug dikonfirmasi) atau memberi panduan apa yang harus dilakukan (jika tidak).
Permintaan fitur publik dan ide modul (pengembangan gratis)
Kami sangat termotivasi untuk meningkatkan alat kami dan berterima kasih atas masukan apa pun. Jika kebutuhan Anda bermanfaat bagi publik dan dapat diimplementasikan secara efisien, tim akan memasukkannya ke daftar tugas kami.
Daftar tugas semacam ini diproses secara berkala dan tidak dikenai biaya tambahan. Meski kami tidak dapat menjanjikan tenggat dan desain akhir, ini bisa jadi cara baik untuk mendapatkan fitur yang diinginkan tanpa investasi dan risiko.
Anda tidak perlu nomor telepon atau kartu kredit untuk menghubungi kami. Cukup pendaftaran email singkat yang tidak lebih dari 30 detik.
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