We harmonize the messy, inconsistent sales reports you receive from your retail partners into clean, comparable data — so your whole team can plan on reality, not guesswork.
We convert the messy, inconsistent sales data files you receive from retail partners into something as easy to work with as e-commerce API data. If your team is manually reconciling reports from multiple retailers, we eliminate that entirely.
We connect to your retail partners' data formats — however inconsistent or proprietary they may be.
All data is normalized into a single schema across SKUs, locations, currencies, and time periods.
Your team gets clean, comparable sell-through data to drive planning decisions with confidence.
Whether you're a brand receiving too many reports to act on, a retailer spending hours customizing data for each supplier, or a distributor needing to justify your purchasing decisions — we have you covered.
Most of our clients realize within the first week that they've been making decisions on the wrong numbers. Let's fix that.
No sales pitch. Just a conversation about your data challenges.
Not because the tool is bad. Because nobody told you how to configure it correctly — and your Microsoft plan alone doesn't protect you.
We work with NDAs daily at Last Data Mile. When Claude for Excel became widely adopted, we didn't just start using it — we stress-tested it against our obligations first. Most companies skip that step entirely.
It's not about whether the tool is safe. It's about how your organization is configured when you use it. The same tool can be compliant or non-compliant depending entirely on your setup — and sometimes that means your own proprietary data is quietly making its way to your competitors.
| Plan | NDA Risk level | Key issue |
|---|---|---|
| M365 Personal / Family | High | Consumer terms only — no enterprise data protections apply |
| M365 Business Basic / Standard | High | Limited DPA coverage, rarely configured for compliance |
| M365 Business Premium | Medium | Controls exist but are almost never set up correctly |
| M365 Enterprise (E3/E5) | Medium | Right foundation, but only safe if IT deployed at tenant level |
| M365 Enterprise + proper tenant config | Lower | Still requires NDA mapping and employee policy — not automatic |
When employees install Claude for Excel individually — rather than IT deploying it at the tenant level — the enterprise Data Processing Agreement may not apply, even on an Enterprise plan. Most companies have no idea which situation they're in.
We walk through everything that actually determines whether your use of Claude for Excel is NDA-compliant. This is a working session with deliverables, not a discovery call.
Which data protections you actually have — and which ones you're assuming you have.
Tenant-level vs. individual install — we determine which situation you're in and what it means.
How many people are using the tool, in what capacity, and what data types they're inputting.
If you're planning wider rollout, we get ahead of the liability before it compounds.
Identifying which data types are NDA-covered vs. safe to run through the tool.
Live sessions with individual team members so nothing falls through the cracks on the human side.
Plain-English breakdown of what Anthropic's ToS and Microsoft's plugin policies actually say.
A written policy you can hand to every employee — including new hires — so this doesn't have to be re-litigated every time.
We'll tell you exactly where you stand, what's exposed, and what needs to change.
Upload a single dataset. We split it for you — automatically, instantly, exactly the way you need it.
Every reporting cycle, someone on your team is opening a master file, filtering by supplier, reformatting columns, exporting, renaming, and sending. Then doing it again. And again. SalesSplitter eliminates that entirely.
Instead of manually exporting a separate file for each supplier or stakeholder, you upload your master dataset once and let SalesSplitter do the rest.
Split by supplier, brand, region, category — or any combination. Each output file contains exactly the rows and columns that recipient needs, nothing more.
Each split report goes directly to the right person automatically. No manual distribution, no wrong file sent to the wrong supplier.
SalesSplitter takes your single source of truth and does the splitting, enriching, and distributing for you.
Upload your master dataset — one file with all your data combined. All reports must share the same column headings so we can combine and process them cleanly.
Tell us how to split — by supplier, brand, region, or any combination of fields. Add meta columns, custom rules, or stakeholder routing on higher plans.
Each split report is ready to download instantly — or automatically routed to the right stakeholder. No manual exports, no distribution errors.
Start with what you need. Scale when you're ready.
We'll walk through it with your actual file formats and split requirements — no generic demo, no fluff.