Order & Inventory Optimization
Designed for growing brands & wholesale distributors
Turn messy orders and inventory into an optimized, predictive, and fully automated system.
DataShip builds the connective tissue between your sales channels, ERP, WMS, and warehouse so every order routes correctly, every unit of inventory is accounted for, and optimization rules continuously tune safety stock, replenishment timing, and routing logic.
Our Order & Inventory Optimization layer goes deeper: it predicts stock risks before they happen, automates replenishment logic, dynamically adjusts safety stock by SKU/location, routes orders using margin-based and distance-based rules, and prevents overselling by synchronizing ATP in near real-time.
We go beyond basic order syncing and inventory visibility—our approach focuses on true Order & Inventory Optimization: reducing safety stock bloat, improving replenishment timing, tightening order-to-fulfillment cycles, and dynamically routing orders based on margin, location availability, and service-level rules.
We specialize in small and mid-size businesses who are outgrowing spreadsheets and basic apps.
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ERP, WMS, OMS, and channel integrations in one program
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API-first where speed matters, EDI where retailers demand it
Order & Inventory Architecture
A visual of how DataShip sits between your channels, ERP/WMS, and warehouse operations.
Sales Channels
Shopify · Amazon · Wholesale · EDI
DataShip Order, Inventory & Optimization Hub
Normalizes orders, reserves stock, routes to the optimal warehouse, and continuously runs optimization logic for forecasting, replenishment, and safety-stock tuning.
ERP / WMS
Syncs on-hand, in-transit, and allocations while pushing financial and cost data back upstream.
Warehouse & 3PL
Receives prioritized pick waves and returns shipment + tracking events in real-time.
Near real-time updates across every system
API
EDI
The real reason orders and inventory feel out of control
It's rarely just one system. It's the gaps between systems and the rules no one ever wrote down.
You never fully trust your inventory.
Shopify says in-stock, the warehouse says backordered, and wholesale POs are sitting in email. Your team spends hours reconciling instead of shipping.
Orders are routed by gut feel, not rules.
No clear logic for which warehouse should fulfill which channel. Backorders, split shipments, and expedited shipping costs eat into your margin.
Reporting is always a week behind.
Finance wants ATP and aged inventory; ops wants fill-rate and OTIF. Everyone is pulling their own spreadsheets and nothing quite matches.
Our job is to surface those gaps, codify the rules, and then automate them so your team isn't re-solving the same problems every week.
What changes when the plumbing is right
The numbers you watch every week start to move in the right direction.
Order accuracy
Before
96.1%
After
99.5%
Stock-out incidents
Before
High
After
Rare
Time to promise
Before
24-48 hrs
After
< 5 min
Ops time spent in spreadsheets
Before
20+ hrs/week
After
< 3 hrs/week
How we work
A structured Order & Inventory program, not a random integration.
We run a 12–16 week implementation that starts with your current stack and ends with a documented, supportable architecture that actually fits how you sell and ship.
Order Hub
Pillar
One place for every order to land
Unify Shopify, Amazon, marketplaces, EDI/retail portals, JOOR/Faire, and manual orders into a single order pipeline with clean statuses and IDs.
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Normalize order data across every channel
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Apply channel-specific business rules and SLAs
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Flag risky orders (fraud, stock-outs, VIPs) in real-time
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Optimize order routing using margin, distance, and inventory health
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Optimization Engine
Pillar
Forecasting, replenishment, and inventory tuning
A dedicated optimization layer that improves accuracy and reduces cost across your entire order-to-ship lifecycle.
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SKU-level demand forecasting and trend detection
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Replenishment rule modeling (min/max, EOQ, lead-time-aware)
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Safety-stock tuning based on seasonality and volatility
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Stock risk detection (future stock-outs, overselling, dead stock)
Inventory Brain
Pillar
Real-time, channel-aware inventory
Give every team the same source of truth for on-hand, allocated, and available-to-promise inventory across locations, 3PLs, and in-transit stock.
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Pull stock from ERP/WMS, 3PL portals, and stores
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Hold, allocate, and release inventory by rule
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Expose clean ATP feeds back to all channels
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Dynamic safety-stock adjustments by SKU/location
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Replenishment recommendations based on demand patterns
Execution Layer
Pillar
From order to packed box, without chaos
Drive pick/pack/ship workflows in the warehouse or 3PL with clear priorities, wave picking, and instant status updates back to your systems.
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Auto-route orders to the right warehouse
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Generate labels, packing slips, ASN data
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Close the loop with shipment + tracking events
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Optimize pick waves based on order urgency and inventory placement
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API-first where it matters, EDI where it's required
Your business probably needs both. We architect one clean layer so you don't get trapped in point-to-point integrations.
API-first where speed matters
For DTC, marketplaces, and modern platforms, we prioritize real-time APIs for order, inventory, and shipment events so your promise to the customer is always current.
EDI where retail requires it
For big-box retailers and distributors, we handle all the EDI plumbing—850s, 855s, 856s, 810s—so you stay compliant without building it all in-house.
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A single integration layer, not a tangle
Instead of point-to-point chaos, we design a hub: your ERP/WMS, OMS, and channels plug into a clear, documented API that we own and support.
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We handle VAN connections, testing with retailers, API design, documentation, and monitoring so your team focuses on product and customers—not EDI maps and error codes.
Systems we connect every day
We plug into the stack you already have—no need to rip and replace.
Order accuracyMicrosoft Dynamics 365 (FO, BC, SCM)
Fishbowl, Cin7, Brightpearl, DEAR
3PL portals, WMS, and shipping platforms
NetSuite, Acumatica, and other ERPs
Shopify, Amazon, WooCommerce, Magento
EDI VANs, B2B portals, and custom OMS
If your stack is more unusual, that's usually where we shine. We love solving the integration puzzles that other teams walk away from.
Implementation program
12–16 weeks to a stable, documented Order & Inventory backbone.
Every engagement is slightly different, but the structure is the same: discover, design, build, stabilize.
Weeks 1–2
Discovery & blueprint
Deep-dive into current order & inventory flows
Map systems, data ownership, and failure points
Define target architecture, business rules, and optimization models
Baseline forecasting accuracy & replenishment timing
Weeks 3–6
Build the integration & optimization layer
Stand up APIs, EDI maps, and event flows
Implement allocation, routing, and optimization rules
Build forecasting models & replenishment logic
Expose inventory, ATP, and optimization insights
Weeks 7–9
UAT & optimization rollout
Run end-to-end test orders across channels
Validate forecasting & replenishment accuracy
Train operations and customer service teams
Dial in optimization dashboards and alerts
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Weeks 10–12
Stabilize, optimize & hand off
Monitor live traffic, forecasting drift, and stock-risk signals
Tune rules for replenishment, safety stock & routing
Finalize documentation, optimization models & runbooks
Transition into ongoing support or in-house team
Ready to make orders and inventory boring—in the best way?
We'll review your current stack, identify the 3–5 biggest gaps in how orders and inventory flow today, and show you what a DataShip Order & Inventory program would look like—including a rough timeline and ROI.
Typically best for brands and distributors shipping 10k–250k orders per year.
What you leave with
Order & Inventory architecture map for your business
Priority list of fixes and automations (90-day plan)
Estimated impact on margin, service levels, and team time