AI Driven Digitalisation
Modernize TMS, WMS, S&OP, and planning platforms.
Legacy Modernization Bespoke DevelopmentAI for Supply Chain That Sees, Plans, and Acts.
A live supply chain control tower, daily demand sensing, planning agents, and exception triage, connected to the ERP, planning, warehouse, and transport systems you already run.
- 25-35%lower forecast error
- About ⅓off planner cycle time
- OTIFtracked live across the network
Challenges
What Slows Supply Chains Down
- 01
Forecasts on Stale Signals
Monthly plans miss what customers and markets are doing this week.
- 02
No End-to-End Visibility
Orders, inventory, and shipments sit in different systems and partners' portals.
- 03
Exceptions Handled by Email
Late shipments and shortages are triaged by memory, not by data.
Value chain
Where AI Moves the Needle in Your Supply Chain
AI in supply chain delivers fastest in demand forecasting, end-to-end visibility, and exception handling, where decisions are frequent and data already exists. SMI TechSolutions maps use cases to each stage and starts where forecast error, OTIF, or planner time will move first.
Stage 01
Plan on this week's signals, not last month's.
- Daily demand sensing
- Planning agents
- S&OP analytics
Stage 02
See supplier risk early and answer contract questions fast.
- Supplier risk analytics
- Supplier communications copilot
- Contract Q&A
Stage 03
Hold the right stock in the right place.
- Inventory optimization analytics
- WMS modernization
- Slotting insights
Stage 04
Know where every shipment is, and act on delays first.
- Multi-carrier visibility
- TMS modernization
- Exception triage agents
Stage 05
Measure and protect what you promised customers.
- OTIF performance analytics
- Control-tower cockpit
- Customer promise tracking
Use-case spotlights
Three Places Supply Chains Start
Supply Chain Control Tower
- Problem
- Orders, stock, and shipments live in separate systems.
- We build
- A live control tower with one view of the network and drilldown to lane, site, and SKU.
- KPI
- OTIF visibility across the network
Demand Sensing
- Problem
- Monthly forecasts miss demand shifts.
- We build
- Hybrid statistical and ML forecasting inside the planner's tools, using daily and external signals.
- KPI
- Lower forecast error
Exception Triage Agent
- Problem
- Planners chase delays by email.
- We build
- An AI agent that flags exceptions, suggests root causes, and drafts the response, with every action logged.
- KPI
- Less planner time per exception
A supply chain control tower is a single, live view of orders, inventory, and shipments across your network, with alerts and analytics that help teams act on problems before they reach customers.
Fits your stack
Built on the Systems You Already Run
Your systems
- ERP
- Planning platforms (SAP IBP, Kinaxis, Blue Yonder, o9, OMP)
- WMS
- TMS
- Carrier and 3PL feeds
SMI data layer
One supply chain data model with GS1 identifiers, connected through EDI, APIs, and file feeds
Outcomes
- Control tower
- Forecast models
- Planner copilot
Every planning-agent action is logged with its sources, supplier data stays private, and trade and sanctions checks are built into onboarding.
Services that apply
How Our Services Apply to Supply Chain
Data Engineering & BI
Unify supply chain data and run the control tower.
Data Analytics Power BIGen AI Services
Planner copilots, supplier communications, and planning agents.
RAG AI-Centric BespokeFAQ
Frequently Asked Questions
How is AI used in supply chain?
AI in supply chain is used to forecast demand from daily signals, give live visibility across orders, inventory, and shipments, triage exceptions such as late deliveries, and support planners with recommendations. SMI TechSolutions starts with the use case that moves forecast error, OTIF, or planner time first.
What is a supply chain control tower?
A supply chain control tower is a single, live view of orders, inventory, and shipments across your network, with alerts and analytics that help teams act before problems reach customers. SMI TechSolutions builds control towers with drilldown to lane, site, and SKU.
What should demand forecasting software do?
Good demand forecasting software combines statistical and machine learning models, uses daily and external signals such as weather or market data, and works inside planners' existing tools. SMI TechSolutions logs planner overrides so the models keep learning from human judgment.
What is supply chain visibility software?
Supply chain visibility software tracks goods, orders, and inventory across suppliers, warehouses, carriers, and customers in one place. SMI TechSolutions connects carrier and 3PL data through EDI, APIs, and file feeds, so shipments from many partners appear in one view.
How is generative AI used in supply chain?
Generative AI in supply chain drafts supplier communications, answers questions about contracts and policies, summarizes exceptions, and helps planners explore scenarios in plain language. SMI TechSolutions logs every AI action with its sources so decisions stay auditable.
Will AI replace our planners?
No. SMI TechSolutions builds AI that takes routine forecasting and exception work off planners' plates, so they spend their time on decisions and supplier relationships. Planners stay in control, and their overrides improve the models.
Do you work with SAP IBP, Kinaxis, and Blue Yonder?
Yes. SMI TechSolutions integrates forecasting and analytics with planning platforms including SAP IBP, Kinaxis, Blue Yonder, o9, and OMP, so results appear inside the tools planners already use instead of a separate system.
How quickly can we see results?
Most SMI TechSolutions supply chain engagements start with a 60-minute briefing and a 90-day pilot proposal focused on one KPI, such as forecast error or OTIF, then scale across categories and sites.
Supply Chain offer
Book a 60-Minute Supply Chain Briefing.
See case studies from networks like yours and leave with a 90-day pilot proposal for one KPI.
Book a Briefing- Nearly two decades of delivery
