Enterprise AI: Build or Buy?
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Most retail promotional failures stem from upstream data issues, not execution mistakes. By structuring promotional commitments before they enter planning systems, retailers can reduce errors, improve accuracy, and protect margin.
You've done the range review. You've negotiated hard on funding. The promotional calendar is locked. And then, three weeks into the campaign, a funding dispute lands on your desk - because the terms your team planned against weren't the terms the vendor actually agreed to.
Here's the uncomfortable truth: most promotional failures aren't execution problems. They're data problems. And they happen long before a promotion goes live.
Every promotion starts with a commitment. A vendor agrees to fund a price reduction, a feature placement, a multi-buy mechanic. That commitment gets communicated somewhere - an email thread, a PDF attachment, a Teams message, a follow-up call.
Then someone on your team has to make sense of it.
They read the email, interpret the terms, and manually re-enter the details into a planning tool or spreadsheet. Then someone else checks it. Maybe. Then it flows into your ERP. By the time that commitment becomes a live promotion, it's passed through four or five human touchpoints - each one a chance for something to get lost, misread, or simply not updated when the vendor came back with revised terms.
This is the commitment gap: the distance between what was agreed and what actually gets planned against. And for large retailers running hundreds of promotions simultaneously, it's not an edge case. It's the norm.
Senior buyers and merchandising leads are used to thinking about margin risk in terms of sell-through, markdown depth, and supplier pricing. But there's a quieter margin leak hiding in your promotional workflow.
When promotional commitments are manually re-keyed, transcription errors creep in. A 15% funding rate becomes 12%. An end date shifts by a week. A mechanic that applies to six SKUs gets logged against eight. None of these feel catastrophic in isolation. Across a full promotional calendar, they add up fast.
And it's not just errors at the point of entry. Vendors change terms. Promotions get restructured mid-negotiation. A funding rate that was confirmed in January gets quietly revised in February - and unless someone is actively tracking that change, your planning team won't know until the invoice doesn't match.
By then, the promotion is live. The markdown has been taken. The argument with the vendor starts.
When a funding dispute does surface - and it will - the first question is always: what was actually agreed?
In most retail organizations, that answer lives somewhere in someone's inbox. Or a shared drive folder with seventeen versions of the same document. Or the memory of a buyer who has since moved to a different category.
Without a traceable, structured record of what was committed, when it was confirmed, and what changed along the way, disputes are slow and expensive to resolve. You're negotiating on gut feel rather than documented fact. And even when you win the argument, you've spent time you don't have.
Here's where many retailers go wrong: they invest heavily in promotional planning software, ERP systems, and BI tooling - and then feed all of it with messy, unstructured, manually-interpreted data.
The planning tool can only work with what it's given. If the commitment data going in is incomplete, inconsistent, or already out of date, the outputs - forecasts, P&Ls, funding reconciliations - will be wrong too. Sophisticated software doesn't fix a data quality problem upstream.
This is why promotions fail before they're planned. The error is already baked in before a single planning decision has been made.
To fix this, you need a shift in where structure gets applied. Rather than trying to interpret and organise promotional commitments after they've arrived in a dozen different formats, the most forward-thinking merchandising teams are starting to capture and structure that data at the point of intake - before it reaches planning systems.
That means:
When promotional data is structured upstream, planning tools can do what they're actually designed to do. Forecasts get more accurate. Funding reconciliations become straightforward. And the disputes that used to take weeks to resolve start getting closed in hours.
This matters beyond operational efficiency. Retailers who get promotional data right upstream have a compounding advantage: they can move faster, negotiate from a stronger position, and reinvest the time their teams currently spend on manual interpretation into actual commercial thinking.
The buyers and merchandising heads who will define category performance over the next few years won't be the ones who manage the most promotions. They'll be the ones who run the cleanest, fastest, most defensible promotional operations.
That starts with getting the data right - before planning even begins.
Platforms like Unframe are helping large retailers solve this problem. How? By structuring promotional commitments upstream, surfacing discrepancies early, and giving merchandising teams a fully auditable record from commitment to execution. If this sounds familiar, it's worth a conversation.
