Forecasting built for sparse, seasonal portfolios
Each series gets its own model, chosen by backtest against a seasonal-naive baseline. Intermittent demand, launches and renumbered products are handled explicitly.
Integrated Business Planning
A forecast isn't a plan. Turn it into one.
Connect demand, consensus, inventory, sourcing, production and material constraints in one decision workflow. Explore feasible choices, see the trade-offs, and move from changed assumptions to an executable plan.
- SignalCommercial adds 20% to Product Anew institutional contract
- Consensus50.0k → 60.0k a monthflagged as a large change for approval
- Net requirement88.0k → 123.0kafter usable stock and in-window supply
- Production4 → 5 batches at Plant Northmaterial and line both have room
- PlanRecommended plan · 106 days of coverready for review
How it connects
Planning is one decision, made in six places.
Most enterprises don't lack a forecast. They lose the thread between the people who change the number and the people who have to make it — UpSynQ keeps that thread intact.
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Demand sensing & forecast
- Who
- Demand planner
- Rule that matters
- Each series gets a model chosen by backtest; launches use the commercial plan.
- What it changes
- The baseline every later number inherits.
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Business consensus
- Who
- Commercial heads, maker-checker
- Rule that matters
- Overrides keep the baseline and a reason; large moves are flagged.
- What it changes
- The frozen consensus is the only version supply consumes.
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Net requirements
- Who
- Central planner
- Rule that matters
- Only usable stock and in-window supply count — not held or short-expiry stock.
- What it changes
- Whether anything gets ordered at all.
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Supply & procurement
- Who
- Planner and reviewers
- Rule that matters
- Source eligibility, MOQ and batch rounding, lead-time buffers.
- What it changes
- Commits money and plant time.
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Production & material feasibility
- Who
- Plant planner
- Rule that matters
- Material released before a batch starts; validated lines; priority tiers.
- What it changes
- Turns a quantity into dated batches — or a shortage list for purchase.
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Approved plan
- Who
- Final approver
- Rule that matters
- Staged review; every edit audited; only frozen versions release.
- What it changes
- Released quantities enter the next cycle's netting, so nothing is planned twice.
Planning workbench
Change one assumption. Watch the plan follow.
Pick what changed this cycle. Consensus, net requirement and plant feasibility all recalculate from the same numbers — and the recommendation is the cheapest plan that still meets policy.
When demand, stock, sources and plants are planned as one decision, a demand or supply shock is replanned when it lands, not at the next cycle. Plans arrive at release already feasible, not corrected on the shop floor. And the trade-off between service, cost and working capital is made explicitly — by the person accountable for it.
Capabilities
What planners and approvers work with.
Consensus with a memory
Statistical, planner and commercial layers stay separate and attributed; large moves go to an approver. National and depot views stay linked — mismatches are surfaced, not forced to add up.
Net requirements you can audit
Usable versus held or short-expiry stock, time-phased supply, lead-time buffers, MOQ and batch rounding, source eligibility — every number shows its build-up.
Material-aware production feasibility
BOM versions, raw and packaging material readiness, QC release, validated lines, batch sizes, changeovers and priority tiers — checked before a batch is promised.
Governance inside the flow
Staged review, send-back and approval. Every edit keeps old value, new value and reason; only frozen versions move downstream, and plan versus actual feeds the next cycle.
Proof
Grounded in real planning complexity.
Signed
Enterprise integrated business-planning engagement with a fast-growing Indian pharmaceutical manufacturer, spanning demand, central supply planning and production planning.
8.3% WAPE
National × SKU forecast error on a sealed three-month pharmaceutical holdout. Depot forecasts reconciled to the national number; apparent zero sales traced to supply gaps and repaired before modelling.
40 depots
With a leading global supply-chain consulting firm: a forecast for every product code at every depot, where most rows carry little volume, seasonal peaks move between years and products get renumbered — so the model is built for the hierarchy, not the row.
One platform
Configured for your business. Not rebuilt for it.
Shared foundation the same software in every deployment
- Data ingestion, mapping and quality profiling
- Time-series modelling and backtested evaluation
- Rule and constraint configuration
- Optimisation and scenario evaluation
- Review, approval and decision presentation
Set up for each enterprise your rules, not ours
- Product, location and source masters
- Business rules, policies and planning calendar
- Approval roles and stages
- Costs, capacities and lines
- Integrations with your ERP and planning files
Gets stronger with each deployment: mappings, rule templates and exception patterns from one implementation make the next one faster to configure. Language models help map and query messy data; forecasts and plans come from statistical models and optimisation.
Talk to UpSynQ
Bring us one planning decision that keeps getting reopened.
We'll trace it end to end — demand, stock, sources, plant and approvals — and show where it breaks today and what a feasible plan looks like.