Demand planning + forecast modeling
Build a planning model that combines history with promotions, commercial input, seasonality, lead times and supply constraints—then measure accuracy and bias.
Supply chain operations + strategy
Improve the operation after the systems are connected.
DataShip turns connected data into better planning decisions, warehouse execution, custom reporting and an operating rhythm that keeps performance in check after implementation.
01PLAN DEMANDForecast + scenarios
02CONTROL INVENTORYPolicy + replenishment
03RUN FULFILLMENTWarehouse + 3PL
04MEASURE + IMPROVEData + managed operations
Beyond implementation
Not just the connection. The work the connection should make possible.
A working integration is the foundation. The real value comes when planners, operators and leaders can trust the data, act on exceptions and improve the decisions that move product and cash.
Inventory + replenishment strategy
Set service targets, safety stock, reorder logic and purchasing priorities that reflect cash, shelf life, lead time and customer commitments.
Warehouse logistics + 3PL performance
Improve receiving, slotting, replenishment, pick-pack-ship, cycle counting and outside-warehouse reconciliation.
Customized reporting + data engineering
Create governed pipelines, data models, dashboards and scheduled reports that turn fragmented records into decision-ready information.
Managed operations + continuous improvement
Monitor exceptions, reconcile transactions, support planners and operators, and maintain a visible backlog after implementation.
Demand planning + forecast modeling
A forecast your team can challenge, explain and use.
We combine commercial judgment with a transparent statistical baseline. The objective is not a mysterious number—it is a repeatable decision process that exposes assumptions, constraints and exceptions.
PLANNING INPUTS
Sales historySeasonalityPromotionsCommercial pipelineLead timesMOQ + capacityInventory + open POs
Decision boundary: planners own the final forecast and policy. DataShip builds the model, measures accuracy and bias, and makes the planning work easier to govern.
FORECAST WORKBENCHSKU · LOCATION · WEEK
BASELINEStatistical
OVERRIDEExplained
OUTPUTReplenishment
MODEL OUTPUTS
SKU-location forecast · scenarios · inventory projection · exception list
Warehouse logistics + 3PL
Make the physical flow match the system truth.
We trace the handoffs from inbound receipt to customer shipment, then improve the process, data and controls that protect inventory accuracy and service.
Receive + put away
Inbound visibility, receiving controls, labeling, lot capture and bin placement.
Slot + replenish
Slotting logic, forward-pick replenishment and movement discipline.
Pick + ship
Release rules, scan points, pack controls, carrier handoff and shipment confirmation.
Count + reconcile
Cycle-count design, variance ownership, 3PL comparison and corrective action.
Customized reporting + data engineering
Reports built around the decision—not the software menu.
DataShip joins the records, codifies the business logic and delivers the output in the format your team will actually use—from a daily spreadsheet to a governed BI model.
SOURCE SYSTEMSERP · commerce · EDI · 3PL
→GOVERNED MODELDefinitions · history · quality
→DECISION OUTPUTReports · dashboards · alerts
→OPERATING OWNERAction · review · audit
REPORTDemand + forecast
REPORTInventory health
REPORTPurchasing + vendor
REPORTWarehouse productivity
REPORTFulfillment + service
REPORTExecutive operating metrics
Supply chain strategy
Strategy that ends in an operating decision.
We help leaders work through inventory policy, planning cadence, warehouse and 3PL decisions, process design and the technology roadmap. The deliverable is not a 200-page deck. It is a clear decision, working model, named owner and review cadence.
Discuss a strategy question →01Inventory policy + service levels
02Planning cadence + S&OP
03Warehouse + 3PL operating model
04Process ownership + controls
05Technology + data roadmap
After go-live
A control rhythm that keeps the operation in check.
Managed operations gives the environment a named owner, an active exception queue and a disciplined improvement backlog—so implementation does not become abandonment.
Monitor + resolve
Watch failed flows, operational exceptions and urgent service risk.
Reconcile + plan
Review transactions, forecast changes, inventory risks and action owners.
Measure + improve
Review KPIs, recurring work and the prioritized improvement backlog.
Model + decide
Refresh scenarios, operating assumptions and the systems roadmap.
Ways to engage
Start with a defined problem and a useful first outcome.
Each engagement has a clear decision, deliverable and handoff. Timing depends on data readiness and scope, but the first move should always be easy to understand.
Operations strategy sprint
Diagnose a planning, inventory, warehouse or cross-functional operating problem and leave with a decision model and implementation path.
Discuss the problem →Forecast or reporting build
Build and validate one planning model, data pipeline, dashboard or recurring reporting workflow around a named business decision.
Define the output →Managed operations
Maintain visibility, resolve exceptions, support planning and reporting, and improve the operation through a controlled backlog.
Discuss ongoing support →Practical questions
What ongoing operations support should make clear.
Bring us the difficult problem →Do we need to use Fishbowl to work with DataShip?+
No. Fishbowl is a core specialization, but the operating work can span commerce, EDI, accounting, warehouse, planning, reporting and custom data environments.
Can DataShip replace our planner or warehouse manager?+
No. We strengthen their decision process and remove avoidable busy work. Your operators retain policy, judgment and accountability.
Can you work with our current spreadsheets and reports?+
Yes. We assess what is useful, trace the underlying data and business logic, then harden the model or replace only what creates risk.
Can DataShip stay involved after implementation?+
Yes. Managed operations can include monitoring, issue response, reconciliation, planning support, KPI review and controlled enhancements.
Do forecast models guarantee accuracy?+
No. Forecasts are decision tools, not promises. We make assumptions visible, measure accuracy and bias, and create an operating cadence for learning from variance.
Your next move
Turn the operational problem
into a clear first move.
Bring us the broken workflow, unreliable forecast, warehouse constraint, reporting burden or difficult integration everyone has learned to work around. Your assessment is senior-led and ends with a practical recommendation, scope boundary and next-step decision.
Request a 30-minute assessment ↗