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.
Konfigurations- och installationstips för 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.
Vanliga frågor om Sales Trends and Forecast Odoo v.16
Vilka uppdateringsregler galler for era verktyg?
Enligt de aktuella reglerna for Odoo Apps Store:
- Varje modul kop for version 12.0 eller tidigare ger tillgang till alla versioner upp till 12.0.
- Fran och med version 13.0 maste varje modulversion kopas separat.
- Oavsett version ger kopet ratt till alla uppdateringar och felrattningar inom en huvudversion.
faOtools-teamet styr inte dessa regler. Vid fragor, kontakta representanterna for Odoo Apps Store direkt.
Hur installerar jag er app pa Odoo.sh?
Det mest direkta sattet ar Odoo-butikens inbyggda flode:
1. Oppna modulens sida och klicka pa Deploy on odoo.sh
2. Du omdirigeras till GitHub. Logga in och klicka pa Create a new repo eller anvand ett befintligt. Repot maste vara privat. Appar under OPL-1 far inte publiceras. Skapa vid behov ett nytt repo for Odoo.sh-projektet
3. Ga sedan till odoo.sh, klicka pa Deploy, bekrafta och klicka pa Continue. Installationen startar.
Stegen installerar appen pa production-grenen. For andra grenar eller uppdatering:
1. Ladda ner kallkoden fran Odoo-butiken
2. Committa modulen till GitHub-repot. Ingen app-mapp/fil far sta i .gitignore. Repon som odoo.sh skapar kan ignorera viktiga sokvagar (t.ex. /lib). Ladda upp alla modulmappar och filer
3. Deploya malgrenen i odoo.sh-projektet eller vanta pa den automatiska builden om installningarna anger det.
Hur installerar jag er app pa min egen server?
2. Starta om Odoo-servern;
3. Sla pa utvecklarlaget (tekniska installningar);
4. Uppdatera applistan (Appar-menyn);
5. Hitta appen och klicka pa Activate/Install;
6. Folj anvisningarna pa appsidan om det finns nagon.
Er app har extra tillagg. Kan jag kopa dem senare?
Ja. Odoo lagger automatiskt alla beroenden i varukorgen: uteslut redan kopta verktyg sa att du inte betalar tva ganger.
Jag deployade er app pa Odoo.sh och ser en varning/ett fel i testerna
En rod/orange varning paverkar inte appens funktioner. Ibland klarar vara moduler inte de vanliga automatiska testerna, eftersom de forvantar ett beteende som strider mot appens mal. Vi andrar till exempel prisberakningen, medan Odoo-testerna jamfor slutpriset med standardalgoritmen.
Kontrollera forst funktionerna i den deployade databasen. Fungerar allt?
Om du anda tror att varningen paverkar verkliga funktioner, kontakta oss och skicka de fullstandiga installationsloggarna och den fullstandiga listan over deployade moduler (karn och tredje part).
Kan jag kopa er app direkt av er?
Nej, vi distribuerar verktygen endast via den officiella Odoo-appbutiken.
Jag vill ha rabatt
Tyvarr har vi inte tekniska mojligheter att erbjuda individuella priser.
Kan jag installera appen pa min Odoo Online (SaaS)-databas?
Nej, tredjepartsappar kan inte anvandas pa Odoo Online. Odoo SaaS blockerar den mojligheten.
Ert verktyg beror pa andra appar. Behover jag kopa dem?
Ja, verktyget behover alla moduler som anges som beroenden. Priset pa appsidan inkluderar redan dessa beroenden.
Vad kostar modulen i amerikanska dollar? Varfor andrades det?
Priset for vara moduler anges i euro. Odoo-butiken konverterar till andra valutor enligt sin interna vaxelkurs. Darfor kan priset i amerikanska dollar andras nar kursen uppdateras.
App- och webbplatsformuleringar på andra språk än engelska är AI-assisterade och anpassade till officiella Odoo-översättningar. Om du upptäcker ett fel, skicka ett ärende om översättningskorrekthet så åtgärdar vi det.
Odoo-demodatabaser (liveförhandsvisningar)
För den här appen kan vi erbjuda en gratis personlig demodatabas.
Du behöver varken telefonnummer eller kreditkort för att kontakta oss. Det räcker med en kort e-postregistrering som tar högst 30 sekunder.
På din begäran förbereder vi en individuell liveförhandsvisningsdatabas där du kan göra tester och kontrollera antaganden i cirka två veckor.
Bugg Rapporter
Om du stöter på fel eller inkonsekvent beteende, kontakta oss. Vi garanterar rättningar inom 60 dagar efter köpet och vill förbättra verktygen även efter det.
Du behöver varken telefonnummer eller kreditkort för att kontakta oss. Det räcker med en kort e-postregistrering som tar högst 30 sekunder.
Ta med så många detaljer som möjligt: skärmbilder, Odoo-serverloggar och en fullständig beskrivning av hur problemet återskapas. Det tar vanligtvis några arbetsdagar att ta fram en arbetsplan (om felet bekräftas) eller riktlinjer (annars).
Allmänheten Funktioner Begäran Modul Idéer GRATIS Utveckling
Vi är starkt motiverade att förbättra våra verktyg och tackar för all feedback. Om kraven är av allmänt intresse och kan implementeras effektivt tar teamet med dem i att-göra-listan.
En sådan att göra-lista behandlas regelbundet och innebär inga extraavgifter. Även om vi inte kan lova deadlines och slutlig design kan det vara ett bra sätt att få önskade funktioner utan investeringar och risker.
Du behöver varken telefonnummer eller kreditkort för att kontakta oss. Det räcker med en kort e-postregistrering som tar högst 30 sekunder.
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