「forecast」の検索結果

Set up, configure or troubleshoot Salesforce Collaborative Forecasts: forecast types, forecast categories, rollup methods, quota management, forecast hierarchy, manager adjustments, pipeline inspection integration. Trigger keywords: forecast type, forecast category, cumulative rollup, individual rollup, quota, forecast adjustment, forecast hierarchy, opportunity splits forecasting, pipeline forecast. NOT for configuring the opportunity stages, sales processes or split types themselves — use admin/opportunity-management. NOT for territory-based forecasting setup — use admin/enterprise-territory-management. NOT for Classic/Customizable Forecasting.

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Generate the commit / best-case / pipeline narrative for a forecast call or a 1:1 with your manager - what's closing, what's at risk, what changed since last time. Use when the user asks "write my forecast", "forecast narrative", "prep for forecast call", "prep for my quarterly forecast call", "which deals should I commit vs. call upside", "forecast from this pipeline export", or "prep for my 1:1 with my manager".

日本語の概要は準備中です。原文の説明を表示しています。

Configuring and running Pipeline Inspection in Sales Cloud: enabling the feature, mapping forecast categories into the inspection view, Days in Stage and other deal-change metrics, and pipeline review cadence for sales managers. Use when designing or improving how a team monitors deal health and pipeline movement. NOT for the Revenue Intelligence app, Einstein deal insights, or forecast-accuracy dashboards — use admin/revenue-intelligence-setup. NOT for forecast types, quotas, or forecast hierarchy setup — use admin/collaborative-forecasts. Keywords: pipeline review, coverage ratio, stage conversion, slippage, stale deals, days in stage, LastStageChangeInDays, LastStageChangeDate, AgeInDays, PushCount, ForecastCategoryName, enablePipelineInspection, PipelineInspMetricConfig, OpportunitySettings, review cadence, commit call.

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Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

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"Combine multiple forecasting models into ensemble predictions for improved accuracy. Use this skill when the user needs to improve forecast reliability, combine ARIMA/Prophet/ETS outputs, or build a robust forecasting pipeline — even if they say 'combine forecasts', 'model averaging', or 'which forecast should I trust'.".

日本語の概要は準備中です。原文の説明を表示しています。

Configuring Salesforce opportunity management: sales stages, sales processes, opportunity record types, Path configuration, opportunity teams, opportunity splits, and forecasting categories. Use when setting up or restructuring the opportunity lifecycle for Sales Cloud. NOT for forecast types, rollup methods, quotas or manager adjustments — use admin/collaborative-forecasts. NOT for agreeing what the stages and exit criteria should be before any build — use admin/sales-process-mapping. NOT for CPQ pricing or product configuration. Keywords: BusinessProcess, sales process, OpportunityStage, ForecastCategoryName, PathAssistant, OpportunitySplit, OpportunitySplitType, OpportunityTeamMember, Opportunity.settings, enableOpportunityTeam, IsClosed, IsWon, IsPrivate.

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Reads a cash forecast (spreadsheet, model export, pasted table or the narrative that accompanies it) and returns a DRAFT assumptions sheet: every assumption the forecast rests on, stated or implied by the figures, with its value as read, its location in the model, the cash lines it drives, its stated source or "not stated", the evidence that would test it, an owner, and one neutral challenge question, so a reviewer can work through the assumptions one by one. Use when the user asks to "list the assumptions behind this cash forecast", "what is this cash flow forecast assuming", "prepare the challenge questions for the treasury review", "pull out the drivers of the 13-week cash forecast" or "build an assumptions register for the liquidity plan". Do not use for actuals against budget by line, use budget-variance-explainer instead; do not use for the case behind a capital request, use capex-request-pack instead. Drafts for human review; never approves, authorises or signs off.

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Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).

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Build a forecasting model for a time series — demand, revenue, or usage prediction. Use when asked to "forecast demand", "predict next quarter revenue", or "build a time series model".

日本語の概要は準備中です。原文の説明を表示しています。

Validate and benchmark a forecasting model — walk-forward CV, error metrics, baseline comparison. Use when asked "is this forecast any good", "validate a forecasting model", or "backtest the forecast".

日本語の概要は準備中です。原文の説明を表示しています。

"Apply exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.".

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"Build forecasting models with Meta's Prophet for business time series with holidays and changepoints. Use this skill when the user needs user-friendly time series forecasting, handling of missing data and holidays, or automatic changepoint detection — even if they say 'forecast with Prophet', 'business forecast', or 'easy time series model'.".

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複数店舗の販売データや商品の特性をもとに、需要予測、安全在庫、発注量を検討するスキル。販促後の需要減少や季節商品の値下げ時期まで計画を支援します。

• 商品ごとの需要予測方法の選定
• 仕入れ先の納期変更に伴う安全在庫の見直し
• 販促中と終了後の需要を見積もりたいとき

Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.

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Use when reviewing, approving, or designing commercial motion — pricing models, deal review, discount approval, partnership economics, channel mix, commercial policy, RFP/RFI response, bookings forecast. Triggers on "review this deal", "should we discount", "pricing model", "partner economics", "RFP response", "bookings forecast", "channel mix". Forks context to route to one of seven Commercial sub-skills (pricing-strategist, deal-desk, partnerships-architect, channel-economics, commercial-policy, rfp-responder, commercial-forecaster) and returns a digest. Distinct from business-growth (sales execution) and c-level-advisor/cro-advisor (strategic CRO judgment).

日本語の概要は準備中です。原文の説明を表示しています。

Weekly HubSpot pipeline-to-forecast rollup — weights every open deal by its own HubSpot stage probability, rolls the total up by stage, rep, and segment ({{segment_property}}) against {{quarterly_quota}}, and flags deals slipping the quarter and other forecast risk before posting to {{forecast_channel}}. Read-only; never changes a deal's amount, close date, stage, or owner.

日本語の概要は準備中です。原文の説明を表示しています。

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.

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[omh] CRM pipeline or sales forecast to review: turn a supplied CRM export or pipeline snapshot into an evidence-bound pipeline health, forecast, and follow-up review. Aliases: pipeline-review, forecast-review, deal-review. Use when the user says: sales-pipeline-review, sales pipeline review, pipeline review, pipeline health, pipeline coverage, deal review, deal health, sales forecast review.

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Runs the planning cycle — annual budget, rolling forecast, consolidation of business unit inputs, and the variance analysis that explains actuals against plan. Use this to build or challenge a budget, run a forecast cycle, consolidate departmental submissions, explain why results diverged from plan, or improve forecast accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Build a short-term (13-week) cash flow forecast to see if you can cover what's due. Use when asked to build a cash flow forecast, a 13-week cash flow, a cash projection, or to plan around a cash crunch. Produces a week-by-week forecast structure — opening cash, expected inflows, scheduled outflows, net movement, and closing/low-point — with the formulas and a worked example, plus the levers if cash goes tight. Not financial advice.

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Repository operating skill for using Flow Forecast's flood_forecast package for time-series forecasting, data preparation, training, inference, evaluation, and hydrology-oriented advanced models.

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Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference). Activate when users provide time series data and request forecasts, predictions, or extrapolations. Supports Reverso Small (550K params). Triggers on "forecast", "predict", "time series", "Reverso", or when tabular data with a temporal dimension needs future-value estimation.

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Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation. Use when asked "what forecasting models do we have", "audit our forecasts", or "find stale models".

日本語の概要は準備中です。原文の説明を表示しています。

Marketing budget planning and forecasting — channel allocation, CAC targets, ROI projections, and spend optimization. Use when "marketing budget", "budget planning", "channel allocation", "marketing spend", "CAC forecast", "budget forecast", "how much should I spend", "allocate budget", or any request to plan, forecast, or optimize marketing spend.

日本語の概要は準備中です。原文の説明を表示しています。