AI for FMCG
Distributor orders, promotions and launches coordinated from brief to sign-off.
See the industry overviewWhich FMCG workflows should you automate first?
Three workflows that come up again and again in FMCG.
Order validationDistributor orders checked against products, prices and terms.
Promotion approvalsBriefs completed and sent to the named approver.
Launch coordinationTasks, files and approvals connected across teams.
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AI fit checkGet a structured read on one workflow: the service it calls for, what AI could take on, what stays with a person, and how ready it looks to start.Open the tool Automation priority scorerList up to five processes and see them ranked for automation, with a score, the hours each takes today and the reason for its place.Open the tool AI automation ROI calculatorEstimate what automating one workflow could be worth in hours and annual value, and how long it would take to pay back.Open the tool Human approval plannerDescribe one AI task and see the level of human control it needs, with a control pattern your team can set up.Open the tool
Related reading
Distributor order validation: checking orders before they reach your ERPOrder validation automation reads each distributor or retailer order, whether it arrives by email, PDF, EDI or portal, and checks it against the product master, price list, trade terms, active promotions and credit position before it is entered in the ERP. Clean orders pass straight through. Exceptions go to the sales operations owner with the evidence attached, and credit, pricing and promotion decisions stay with a named person.Read Why AI pilots stall, and how to get one into productionAI pilots usually stall for operational reasons that were visible from day one: no named owner, a demo run on clean data, and no plan for the exceptions and approvals real work produces. This piece covers why that gap opens, seven decisions that let a pilot become production without a second project, and the explicit criteria for deciding whether to scale, fix or stop. It also covers what changes, in monitoring, access, support and cost, once a pilot goes live.Read Trade promotion approvals in FMCG: how to automate the chase without losing control of spendA trade promotion approval moves a brief through mechanics, funding, price and legal checks to a named approver before it reaches a retailer. It typically stalls on incomplete briefs, numbers that do not match the plan, and approvers waiting on each other by email. Automation can check the brief, validate the numbers, route it to the right approver and record the decision, while the commercial call and any exception to price rules stay with a person.Read How to calculate the ROI of AI automationCalculate the ROI of AI automation by measuring the current process first, then valuing hours saved at loaded cost, errors avoided and faster cycle times, and setting that against the full cost to build, run and support the system. Express the result as a payback period under conservative assumptions, and count saved hours as money only when they change hiring, overtime or contractor spend.Read Build, buy or integrate: deciding on custom business softwareBuy standard software when the process is common and you can adapt to the product, integrate when your existing systems already hold the data and only the connections are missing, and build custom software only where the process sets you apart or no product fits its core steps. Most growing companies land on a hybrid: buy the core system of record, then integrate or build the edges around it. Compare the options on 3 to 5 year total cost of ownership, not on the first invoice.Read Connecting AI to your ERP, CRM and data warehouseConnect AI to your ERP, CRM and data warehouse through the vendor's supported APIs, webhooks, event streams or an integration platform, not by writing straight to the database. Start with read access, send every write through a named approver until the workflow has proven itself, and check API limits, licenses, permissions and data quality before you commit to a design.Read In-house, agency or partner: how to staff an AI projectAn AI project needs a business owner and a process owner from inside your company, plus AI engineering, integration, data, cloud and change skills that you can hire, contract or bring in through a partner. For a first workflow, a specialist partner working with named internal owners is usually the fastest route, and hiring makes sense once there is steady work to keep a team busy. Whichever route you take, your company should own the code, the accounts and the documentation.Read Technical debt in business systems: how to spot it and pay it downTechnical debt is the extra effort every future change costs because of shortcuts, age and neglect in the systems you already run. Leaders see it as slow changes, fragile integrations, spreadsheets holding processes together, one person nobody can replace, and software versions the vendor no longer supports. Pay it down where it blocks work you actually plan to do, in slices, rather than through a full rewrite.Read
Other industries
RetailOrders, stock requests and product updates that move without anyone re-keying them.LogisticsShipping documents checked and every exception routed to the person who owns it.TelecommunicationsActivations, field visits and support requests that reach the right team first time.Real estateInquiries answered, applications complete and maintenance moving before anyone chases.Professional servicesClient intake handled, so your people spend their time on judgment.
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