Smart Fulfilment Engine

Where each order ships from

System Operations · Works with Existing WMS and OMS

Fulfilment decisions are manual and slow. Which warehouse ships this order? How to batch picks efficiently? What's the optimal delivery route? Teams make these decisions order-by-order, wasting time and leaving efficiency on the table.

Smart Fulfilment Engine automates these decisions with AI. Determines optimal fulfilment location based on inventory, proximity, capacity, and costs. Batches orders for efficient picking. Optimises delivery routes and timing. Works alongside existing WMS and OMS systems.

Built for operations where fulfilment speed and efficiency directly impact customer satisfaction and costs. Multi-warehouse, high-volume, complex routing. No WMS replacement required - intelligence layer on top.

What you get

AI that makes fulfilment decisions automatically: order routing, pick batching, delivery scheduling, exception handling. Connects to commerce platform, WMS, shipping carriers via Bytebard Data Mesh.

Intelligent routing selects optimal warehouse considering inventory, proximity, capacity, carrier rates. Smart batching groups orders for efficient picking paths. Predictive fulfilment starts before customer confirmation. Dynamic scheduling optimises delivery timing and routes.

Our customers use Smart Fulfilment Engine to reduce fulfilment time 40-60%, cut shipping costs 15-25%, and improve on-time delivery rates to 98%+.

Powered by: Workflow Orchestration · Insights · Bytebard Data Mesh · AI Assistants

Core capabilities

Intelligent Order Routing

Determines optimal fulfilment location for each order. Considers: inventory availability at each warehouse, customer proximity, warehouse capacity, carrier rates, order priority. Routes automatically.

Smart Pick Batching

Groups orders for efficient warehouse picking. Optimises pick paths, reduces travel time, increases picks per hour. Adapts to warehouse layout and product locations.

Predictive Fulfilment

Starts picking high-probability orders before customer confirms. If customer doesn't confirm, cancels pick. Enables faster delivery for confirmed orders.

Dynamic Delivery Scheduling

Optimises delivery slots and routes based on: traffic patterns, driver capacity, customer preferences, order urgency. Minimises delivery costs while meeting commitments.

Proactive Exception Handling

Detects fulfilment issues early: out of stock at assigned warehouse (reroute), capacity constraints (reallocate), weather delays (adjust schedule). Resolves automatically or escalates with solutions.

Split Shipment Optimisation

When order can't ship complete from one location, AI determines: ship partial now + backorder, split across warehouses, or wait for complete fulfilment. Optimises for cost and customer preference.

Priority & SLA Management

Enforces delivery commitments: next-day orders prioritised, customer-specific SLAs respected, high-value orders expedited. AI ensures promises are kept.

Shipping Cost Optimisation

Selects optimal carrier and service level per order. Balances cost vs. speed based on customer expectations and order characteristics. Reduces shipping spend 15-25%.

How it integrates with your systems

01

Connect via Bytebard Data Mesh

Integrate with commerce platform, WMS/OMS, inventory systems, shipping carriers. Order data, inventory levels, warehouse capacities, carrier rates flow into Smart Fulfilment Engine.

02

Train AI on Your Operations

AI learns your warehouse layouts, picking patterns, delivery routes, customer locations, historical performance. Analyses fulfilment patterns and constraints.

03

Deploy Fulfilment Automation

AI routing activates: orders automatically assigned to optimal warehouses. Pick batching optimises warehouse operations. Delivery scheduling activates with carrier integration.

04

Optimise & Adapt

AI continuously learns from outcomes: actual pick times, delivery performance, exception patterns. Recommendations improve over time. Operations team provides feedback for refinement.

What this solves

Problem: Manual order routing wastes time and money

Operations teams manually decide which warehouse ships each order. Decisions based on gut feel or simple rules (closest warehouse). Suboptimal routing increases costs and delivery times.

Solution: Automated intelligent routing

AI evaluates all warehouses, all factors (inventory, proximity, capacity, cost) in seconds. Optimal decision every time. No manual routing decisions required.

Typical impact: Fulfilment time down 40-50%, shipping costs down 15-20%, on-time delivery up to 97%+

Problem: Inefficient warehouse operations

Orders picked individually or batched suboptimally. Pickers walk unnecessary distances. Picks per hour below potential. Labour costs higher than necessary.

Solution: Smart pick batching and routing

AI groups orders for efficient picking paths. Reduces travel time, increases picks per hour. Warehouse productivity improves without facility changes.

Typical impact: Picks per hour up 35-45%, labour efficiency up 30%, order processing time down 40%

Problem: Fulfilment exceptions handled reactively

Out of stock discovered during picking. Delivery delays caught too late. Capacity constraints cause bottlenecks. Always reacting, never proactive.

Solution: Proactive exception detection and handling

AI predicts and prevents issues before they impact customers. Reroutes orders before stockouts cause delays. Reallocates when capacity constraints detected.

Typical impact: Customer-impacting exceptions down 60%, fulfilment disruptions down 50%, emergency interventions down 70%

Works with your existing systems

Smart Fulfilment Engine integrates with any commerce platform, WMS, OMS, and shipping carriers via Bytebard Data Mesh. Doesn't replace existing systems - enhances them with intelligence.

Commerce platforms

Shopify & Shopify PlusMagento (Adobe Commerce)BigCommerceSalesforce Commerce CloudCustom platforms

WMS/OMS

Manhattan WMSBlue Yonder (JDA)SAP EWMNetSuite WMSShipStationShipBobCustom WMS

Shipping carriers

FedExUPSDHLRoyal MailDPDRegional carriers

Don't see your WMS or carrier? We can still connect to it.

How customers use Smart Fulfilment Engine

01

Multi-Warehouse D2C Retailer

Shopify Plus + ShipStation + 4 warehouses

Challenge

Manual warehouse selection. Orders often shipped from suboptimal location. Shipping costs high. Delivery times inconsistent. Customer complaints about late deliveries.

Solution

Smart Fulfilment Engine with intelligent routing, predictive fulfilment, dynamic carrier selection.

Outcome

  • •Fulfilment time: 2 days → 18 hours (average)
  • •Shipping costs: Down 22%
  • •On-time delivery: 89% → 98%
  • •Customer satisfaction: Up 40%
02

B2B Industrial Distributor

Custom platform + SAP WMS + 6 distribution centres

Challenge

Warehouse picking inefficient. Labour costs high. Order processing slow. Capacity constraints during peak times caused delays.

Solution

Smart Fulfilment Engine with pick batching, capacity management, exception handling.

Outcome

  • •Picks per hour: Up 40%
  • •Order processing time: Down 45%
  • •Labour costs: Down 28%
  • •Peak period delays: Down 75%
03

Foodservice Distributor

Magento + Manhattan WMS + 8 regional warehouses + own delivery fleet

Challenge

Delivery route planning manual and time-consuming. Suboptimal routes increased fuel costs. Driver capacity underutilised. Late deliveries damaged customer relationships.

Solution

Smart Fulfilment Engine with delivery route optimisation, dynamic scheduling, driver capacity management.

Outcome

  • •Route planning time: 4 hrs/day → 30 min/day
  • •Fuel costs: Down 18%
  • •Driver utilisation: Up 35%
  • •Late deliveries: Down 80%
  • •Annual savings: £240K

How we work together

We take a phased approach: connect your systems, train AI on your business, deploy with a pilot group, then expand based on results.

Every implementation is different - timeline and scope depend on your systems, data quality, and operational complexity. We'll work with you to define the right approach for your business.

What's typically required

  • • Access to your systems and data
  • • Stakeholder time for requirements and validation
  • • Team involvement for testing and feedback

Investment and timeline depend on your specific requirements. Let's discuss your operations and determine if this fits.

Built on WithPraxis platform

Smart Fulfilment Engine leverages core WithPraxis capabilities

Workflow Orchestration

Manages order routing, pick batching, delivery scheduling. Automates exception handling and escalation workflows.

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Insights

Analyses fulfilment patterns, predicts capacity constraints, detects anomalies. Informs routing and scheduling decisions.

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Bytebard Data Mesh

Connects Smart Fulfilment Engine to commerce platform, WMS, inventory systems, shipping carriers. Real-time data sync.

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AI Assistants

Provides operations team with natural language queries and decision support for fulfilment exceptions.

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Ready for a complete platform?

Smart Fulfilment Engine is one component of Adaptive Commerce, our complete AI-native commerce platform. Adaptive Commerce includes:

  • • Everything in Smart Fulfilment Engine
  • • Plus: AI storefront, predictive ordering, dynamic pricing, conversational commerce, unified operations

Many customers start with Smart Fulfilment Engine on their existing platform, then migrate to Adaptive Commerce for complete transformation.

Explore Adaptive Commerce

Optimise fulfilment operations.

Let's discuss whether Smart Fulfilment Engine fits your operations.

Discuss Smart Fulfilment Engine