Traditional AI
- 1.Shows you a dashboard
- 2.Flags a problem
- 3.Suggests an action
- 4.Waits for human approval
- 5.Acts in 1 week
Agentic AI Engines
Real-Time Intelligence That Decides What Happens Next.
Turn enterprise signals into decisions, actions, and measurable outcomes. Sekel Agentic AI sits on top of your existing systems and continuously interprets live business signals across demand, pricing, inventory, logistics, and promotions.
What is Agentic AI
Most AI tells you what to do. Sekel's AI does it.
Traditional analytics can surface a problem. Agentic AI connects the condition to business context, determines the next action, and feeds the outcome back into the intelligence loop.
Sekel Agentic AI
- 1.Detects the condition
- 2.Decides the response
- 3.Executes the action
- 4.Logs the outcome
- 5.Acts in 15 minutes
The Five Engines
One engine for every critical decision area.
Each engine addresses a distinct business decision. Together, they form a connected intelligence system rather than five isolated AI features.
01
Demand Engine
Predicts what sells, where, when
Your brand allocates budget on last month's data. By the time the insight reaches the outlet, the moment has passed.
- Location, product and channel-level demand signals
- Connects discovery, transaction and operational signals
- Identifies demand shifts and emerging opportunities
- Feeds demand intelligence into replenishment and promotion decisions
02
Price Engine
Location-level pricing, automated
One national price list. Demand in Pune is not the same as Edinburgh. Flat pricing loses money at both ends.
- Evaluates demand and market signals
- Identifies pricing opportunities and pressure
- Works within business rules and pricing controls
- Connects pricing decisions with demand and promotion intelligence
03
Replenishment Engine
Reorders stock before you run out
Stock runs out Friday afternoon. Request logged Monday. Reorder raised Wednesday. Four days of lost sales. Every week.
- Detects shortage and excess inventory risk
- Prioritizes replenishment requirements
- Connects demand and stock signals
- Supports replenishment actions within configured controls
04
Logistics Engine
Route and delivery optimisation
Manual route planning adds cost and slows delivery. A dispatcher takes an hour to plan what the engine does in seconds.
- Identifies delivery and fulfilment priorities
- Connects movement with inventory and order context
- Helps respond to operational exceptions
- Works with Geo Task Manager for ground-level execution signals
05
Promotion Engine
Tracks which offers actually convert
You run a promotion. Sales move. But did the offer cause it? Without attribution you keep running promotions that just discount what would have sold anyway.
- Connects promotion activity with demand and transactions
- Identifies location and product-level response
- Helps evaluate promotion performance and impact
- Feeds learning back into price and demand intelligence
How they connect
Five engines. One signal chain.
1
Demand
2
Replenishment
3
Logistics
4
Price
5
Promotion
Closed-Loop Operating Model
Sense → Decide → Act → Learn → Improve.
Agentic AI becomes more valuable when every decision creates a new signal for the next decision.
Sense
Capture relevant signals from enterprise systems, transactions, demand, operations, and validated field activity.
Decide
Interpret context across systems and determine the next best action against business rules and objectives.
Act
Support or execute the action through connected workflows, based on configured levels of autonomy.
Learn & Improve
Measure outcomes, feed them back into the intelligence layer, and improve future decisions.
Business Signals
From enterprise signal to business action.
Agentic AI connects signals that may otherwise sit inside separate systems or departments.
Demand rises
Demand intelligence detects a change and connects it with inventory and transaction context.
Stock risk appears
Replenishment intelligence prioritizes the locations or products that need attention.
Movement changes
Logistics intelligence uses current operational context to support fulfilment and movement decisions.
Response is measured
Promotion and transaction signals feed the result back into the next decision cycle.
PROOF
Use the numbers that the business can prove.
Not projections. Not benchmarks. From active client networks.
5
AI intelligence engines
1
Connected decision layer
360°
Cross-system intelligence
24/7
Continuous intelligence loop
Who benefits
One AI layer. Five roles that stop guessing.
Corporate
Network visibility. AI surfaces gaps before the board meeting does.
Brand
Campaigns, pricing, and promotions that run and measure themselves.
Distributor
Stock levels that never run out. Orders that never get delayed.
Retailer
Right product, right price, available when the customer walks in.
Customer
Finds the nearest location with the right stock. Every time.