General management and P&L
Business-unit strategy, revenue, margin, cost structures, investment choices, cross-functional execution, and accountability for operating performance.
TiMiNa brings together senior FMCG operators, commercial leaders, category specialists, analytics leaders, and AI builders. Our experience spans group-level leadership, business-unit management, route-to-market, trade marketing, portfolio decisions, and technology-enabled transformation across the Middle East and Africa.
Today, we apply that experience to building governed agentic workflows for FMCG and CPG organizations.
Before building TiMiNa, our team worked inside large and complex FMCG organizations. We have held group-level and business-unit leadership roles spanning general management, commercial strategy, marketing, route-to-market, category management, go-to-market analytics, and portfolio performance.
That experience includes operating responsibility for major food and beverage businesses, including leadership of an ice-cream business that was the group's second-largest business at the time, as well as a beverages business unit.
Our regional leadership responsibilities extended across 17 markets in the Middle East and Africa. We understand the realities behind the reports: fragmented distribution, volatile demand, channel differences, trade-spend pressure, portfolio complexity, imperfect data, and the gap between headquarters decisions and field execution.
Selected experience held by TiMiNa's founding team before establishing the company.
The FMCG operating system
Agents run across the functions, not beside them. Each one reads approved data, proposes work, and stops at the point where a person decides.
Agentic workflows only create value when they are designed around how the business actually works. Our experience covers the commercial, analytical, and operational systems on which FMCG performance depends.
Business-unit strategy, revenue, margin, cost structures, investment choices, cross-functional execution, and accountability for operating performance.
Distributor models, territories, journey planning, sales-force effectiveness, numeric distribution, order capture, outlet execution, and field-performance management.
Promotion planning, channel programs, trade investment, execution compliance, claims, post-promotion analysis, and commercial learning.
Category roles, assortment, price-pack architecture, SKU decisions, innovation portfolios, launch performance, and product lifecycle decisions.
Turning fragmented commercial data into planning signals, performance diagnosis, management actions, and repeatable decision systems.
More than a decade across technology, analytics, data products, digital platforms, and AI, now focused on governed agentic workflows.
A useful FMCG agent needs more than a prompt. It needs business context, access to the right data, clearly defined actions, decision boundaries, approvals, memory, monitoring, and an audit trail.
Promotions are planned across spreadsheets, historical files, emails, and individual judgment. Execution and financial reconciliation happen too late.
A coordinated workflow for promotion planning, demand prediction, approval, execution monitoring, claims reconciliation, and post-event learning.
Territories, journey plans, outlet priorities, orders, and perfect-store evidence are often handled through disconnected tools and manual processes.
Agents that prioritize outlets, recommend journeys, capture orders, review store evidence, identify execution gaps, and escalate actions.
Planners spend significant time collecting inputs, reconciling exceptions, and rebuilding forecasts while market conditions continue to change.
Demand-sensing, forecast-exception, inventory-risk, and replanning agents that continuously evaluate new signals and route important decisions to people.
Assortment, SKU, price-pack, innovation, and category decisions depend on information spread across sales, finance, market research, and operational systems.
Agents that assemble evidence, identify patterns, compare scenarios, maintain decision memory, and track whether decisions produced the expected result.
Claims, deductions, distributor balances, receivables, and trade-spend records require repetitive reconciliation across documents and systems.
Agents that match transactions, detect anomalies, apply commercial rules, prepare reconciliations, and escalate exceptions for approval.
Experienced employees spend days collecting information and rebuilding weekly or monthly reports that describe the past without consistently driving action.
Agents that collect approved data, prepare commentary, identify material changes, assign follow-up actions, and track unresolved decisions.
A diversified FMCG group does not need one generic chatbot. Each company, category, channel, and function has its own processes, systems, data quality, and decision rights.
TiMiNa helps groups establish a shared agentic foundation while allowing workflows to reflect the reality of each operating company.
Establish common governance, security, logging, and evaluation standards while adapting workflows to each company and category.
Work across ERP, DMS, Excel, databases, documents, email, WhatsApp, Telegram, and internal applications without requiring an immediate system replacement.
Start with one company, category, region, or workflow where value can be demonstrated with manageable risk.
Reuse the architecture, guardrails, connectors, and learning across additional workflows and operating companies.
This model illustrates how several specialized agents can coordinate one end-to-end commercial process. The actual workflow, business rules, data sources, approvals, and success measures are configured around each organization.
A first promotion plan, assembled from what the business already knows.
Historical promotions, SKU performance, channel conditions, commercial priorities, available budget, inventory, and timing constraints.
Prepares an initial promotion plan including mechanic, SKUs, target customers or outlets, budget, timing, and assumptions.
Trade marketing or commercial leadership reviews and adjusts the proposed plan.
A structured promotion proposal ready for demand and financial evaluation.
NextForecast Agent
Illustrative workflow model. Actual impact is established against each organization's baseline.
TiMiNa works company to company, with a defined scope, delivery ownership, governance model, implementation process, and handover plan. We work alongside business, data, technology, and operational teams to move from opportunity identification to a functioning workflow.
Understand the process, systems, decisions, constraints, pain points, and available data. Rank opportunities by value, feasibility, risk, and organizational readiness.
Build one narrow workflow using real business rules and an agreed data sample. Define the baseline and evaluation criteria before measuring impact.
Add integrations, permissions, guardrails, logging, human approvals, monitoring, documentation, and operational ownership.
Improve the workflow, expand its coverage, reuse the foundation across related processes, and transfer knowledge and ownership to the organization.
Start with one consequential workflow. Build the foundation for many.
Start with a promotion cycle, demand-planning exception, distributor reconciliation, category decision, field-sales process, or management report. We will map how the work happens today, identify where an agentic workflow can create leverage, and define what a production-ready pilot would require.
Company-to-company engagements through TiMiNa B.V.