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Connected operations + decision support

One operating flow—and better decisions around it.

DataShip connects the platforms that run orders, inventory and fulfillment, then helps teams plan demand, improve warehouse execution, build decision-ready reporting and keep the operation under control.

01

ERP, commerce, EDI + API

Create one dependable transaction flow across the systems that receive demand, control inventory, execute fulfillment and report financial results.

We map ownership at the field and event level, then build or repair integrations for orders, acknowledgments, inventory, shipments, invoices and item data. Validation, retry logic, monitoring and reconciliation are designed into the workflow so failures become visible exceptions instead of silent operational problems.

What this creates: The result is less re-entry, faster exception resolution and a system architecture your team can understand and support.

Fishbowl · Shopify · marketplaces · retailer EDI · SPS Commerce · 3PL · QuickBooks · custom APIsExplore platform expertise →
02

Demand planning + forecast modeling

Turn sales history, seasonality, promotions, inventory, lead times and commercial input into a planning model the business can actually use.

We establish a transparent statistical baseline at the right SKU, channel and location level, then layer in known events, constraints and commercial judgment. Forecast accuracy and bias are measured over time, while scenarios help teams understand purchasing, production, cash and service implications before committing.

What this creates: The deliverable is not just a forecast file—it is a repeatable planning cadence with assumptions, ownership, exceptions and recommended actions.

SKU-location forecasts · scenarios · bias · accuracy · constrained supply · replenishmentSee planning + forecasting →
03

Order + inventory optimization

Replace unclear availability and manual allocation with rules that protect service, margin and working capital across channels.

We define what available inventory means for your business, including reservations, safety stock, quality status, lot eligibility, channel commitments and inbound supply. Replenishment and allocation logic can then prioritize the right customers, locations and products while exposing shortages early enough to act.

What this creates: Teams gain a more trustworthy promise to customers, fewer preventable stockouts and a clearer view of where inventory is healthy, constrained or trapped.

Availability · allocation · safety stock · replenishment · order routing · inventory healthDiscuss an inventory problem →
04

Warehouse logistics + 3PL performance

Improve the physical flow from receiving through pick, pack and ship while keeping system inventory aligned with warehouse reality.

We examine receiving controls, location strategy, slotting, replenishment, scanning, cycle counting, wave and pick logic, packing evidence and shipment confirmation. For outsourced fulfillment, we define the records, timing, service measures and reconciliation process required to manage the 3PL as an accountable extension of your operation.

What this creates: The work targets higher inventory accuracy, cleaner handoffs, faster root-cause analysis and fewer fulfillment surprises for customers and finance.

WMS · 3PL feeds · scanning · warehouse flow · cycle counts · shipment reconciliationExplore warehouse + 3PL strategy →
05

Customized reporting + data engineering

Give operators and leaders decision-ready information without forcing them to assemble the truth manually every week.

We connect source systems, clean and model the data, define business logic with the people who own the decision and publish the result in the format the team will actually use. That can include Power BI dashboards, Excel operating packs, scheduled PDFs, exception alerts, executive briefs or governed datasets for analysts and AI applications.

What this creates: Every output is tied to a named decision, refresh process, definition and owner—so reporting remains useful after the initial build.

Power BI · Excel · PDF · data pipelines · master data · KPI logic · scheduled alertsSee reporting + data services →
06

Operational AI + automation

Use governed AI agents and deterministic automation to monitor exceptions, assemble evidence and prepare the next best action across connected systems.

Examples include agents that investigate blocked orders, prioritize failed EDI documents, flag stockout or short-dated risk, reconcile Fishbowl against a 3PL and produce a daily executive operations brief. We begin read-only, expose the evidence and business rule behind each recommendation, and introduce approvals or narrowly scoped writes only when the control environment is ready.

What this creates: Solutions can be deployed through AWS, Microsoft Azure and Power Platform, or a custom architecture using the client’s preferred models, APIs, data services and security controls.

Agents · workflow automation · AWS · Microsoft · custom solutions · approvals · auditExplore AI + Agents →
07

Managed operations + continuous improvement

Keep the connected environment dependable after launch with named ownership for monitoring, troubleshooting and prioritized improvement.

DataShip can watch critical handoffs, control the exception queue, reconcile inventory and transaction differences, maintain reporting pipelines and help run planning or performance reviews. Recurring issues are traced to root cause and converted into a visible backlog instead of becoming permanent manual workarounds.

What this creates: Coverage, response expectations, systems, responsibilities and improvement priorities are defined for the engagement so both teams know what dependable support means.

Support · monitoring · reconciliation · KPI review · planning support · enhancementsSee managed support options →

A disciplined path

Diagnose. Plan. Build. Operate. Improve.

01Operational blueprint

Map systems, data ownership, exceptions and the economics of the current process.

02Plan + model

Define forecasts, inventory rules, warehouse flow, KPIs and the decisions the operation must support.

03Build + harden

Implement the smallest dependable backbone, test real scenarios and document it.

04Operate + monitor

Watch daily flow, reconcile the truth, resolve exceptions and protect adoption after launch.

05Improve + automate

Refine the model, remove recurring work and add governed AI where controls are ready.

Ways to engage

A clear first purchase—not an open-ended transformation.

Start with the smallest scope that creates evidence, reduces operational risk and gives both teams a confident decision about what comes next.

Fishbowl is a specialization.
Operational improvement is the broader responsibility.

Explore operations + strategy →Fishbowl services →

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 ↗