Retail & D2C
The topline looks healthy but the real return is a guess. The same sale is double-counted across Meta and Google so ad spend looks better than it is; a product or channel that loses money after fees, freight and returns keeps getting pushed because nobody calculated it; for omnichannel and chains, store-versus-online and outlet-versus-outlet contribution is invisible across POS and web. The founder flies on platform numbers and gut, not on arithmetic over their own data. Discounts stack without a rule, coupons get abused, and outlet or channel-level pricing drifts with no record of who approved what, so margin leaks quietly and there is no way to police it after the fact.
Who has it
D2C / online-first consumer brands on blended CAC and per-order contribution, omnichannel retailers on store-versus-online margin, and multi-brand and single-brand retail chains on per-outlet and per-channel margin, with marketplace-led sellers in part where a B2B or own-store arm runs alongside marketplaces. Outlet-level discount and scheme discipline is core for the retail chains, and D2C brands and omnichannel retailers feel it wherever stacked discounts and coupon abuse erode margin.
What we build
One honest contribution view: blended cost-to-acquire (real spend against real orders against true margin), true margin per channel and per order after every fee, freight, discount and return, and a sales pipeline with owners and next-action dates for any wholesale or B2B arm. A clear price and discount policy with approved bands by product, channel and outlet, an approval gate on off-band discounts and scheme exceptions. For chains, this ties into the consolidated MIS so outlet-level pricing stays visible and governed.
What is automated, where AI helps, who signs off
The reliable spine
The reliable spine is deterministic: blended cost-to-acquire over real spend and real orders, true margin per channel and per order after every fee, freight, discount and return, and the approved price-and-discount bands with a gate on off-band exceptions.
Where AI helps
AI de-duplicates the same sale double-counted across Meta and Google, reads the discount and coupon trail to surface abuse, and drafts the exception summary an approver sees; it never funds a channel or grants a discount.
Who signs off
A named person signs off every off-band discount, scheme exception and consequential price or spend decision; nothing touching money, a price or a credit decision moves on the read alone.
What changes day to day
A loss-making channel or product stops getting funded on a vanity number; the founder sees true contribution by channel and campaign; spend follows arithmetic instead of platform-reported ROAS. Off-band discounts stop happening quietly; coupon abuse is caught; every consequential price or scheme exception reaches a named person with the context attached.
Illustrative outcome
True blended CAC and per-channel contribution made visible; spend reallocated off the channels that quietly burned cash. Recovered margin from closing discount and scheme leakage across outlets and channels. Illustrative; final numbers come from your own data.
Illustrative; final numbers come from your own data.
Path to the build
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
Related builds
A free 60-minute call. No cost, no obligation, just a clear read on what is worth building.