Retail: knowing what actually makes money, by channel and by SKU

The single most damaging operational failure in multichannel retail is overselling: the same unit sold on your website and on a marketplace within the same hour, one of which then gets cancelled. On marketplaces that damages seller ratings, which affects visibility, which costs future sales — a disproportionate consequence for a small operational failure.

We build unified inventory with reservation logic: stock is held against an order the moment it is placed, across all channels, with configurable buffers per channel so a fast-moving marketplace listing does not consume the safety stock the trade channel depends on.

Alongside that, the practical inventory discipline that most growing brands lack: reorder points computed from actual velocity and lead time rather than intuition, ageing analysis so slow stock is identified before it becomes dead, and allocation rules for constrained items that reflect channel profitability rather than order sequence.

Most retail businesses manage on gross margin because it is the number the accounting system produces. It systematically overstates the profitability of channels with high return rates, high freight cost, high commission, or high acquisition cost — which is to say, most of the growth channels.

We build the margin model properly: selling price less product cost, less discount and scheme, less marketplace commission and payment charges, less outbound freight, less the cost of returns and RTO including the freight both ways and the handling, less allocated acquisition cost where it can be attributed.

Computed at SKU and channel level, this frequently reverses assumptions. A high-volume marketplace SKU with a twenty-eight per cent return rate can be loss-making at contribution while appearing healthy on gross. Brands that see this number for the first time typically make three or four immediate decisions — discontinuing SKUs, changing channel mix, or fixing the return driver.

For manufacturers and distributors selling through trade, the B2B side is usually more valuable and less digitised than the D2C side. Orders arrive by phone and WhatsApp, price lists are PDFs with multiple tiers, schemes are calculated on spreadsheets, and the sales team spends a large share of its time on order entry.

We build dealer portals and apps that handle this properly: dealer-specific catalogues and pricing, live credit limit and ledger, scheme entitlement visible rather than opaque, order placement with stock availability, dispatch tracking, and downloadable statements. Orders flow directly into the ERP without re-keying.

The value is rarely new revenue. It is the elimination of order-entry labour, the removal of pricing errors, faster order-to-dispatch, and — a benefit clients consistently mention — dealers ordering more frequently in smaller quantities because the friction of placing an order has dropped.

D2C brands typically know far less about their customers than they believe, because guest checkouts, multiple phone numbers and marketplace anonymity fragment the record. A brand that computes repeat rate from account-holders alone routinely understates it by a wide margin.

We build identity resolution across order records — phone, email, address, payment fingerprint — to produce a customer record that actually represents a person. On that foundation, cohort analysis, lifetime value and retention become meaningful rather than approximate.

Then the retention mechanics: replenishment reminders timed to actual consumption cycles rather than a fixed interval, win-back journeys triggered by a gap relative to that customer's own pattern, and loyalty that rewards behaviour you actually want rather than simply discounting. Executed on WhatsApp, where Indian open rates make it the dominant channel.

For brands with physical stores, the systems requirement is different again: point of sale that works when the internet does not, inventory visibility that includes store stock for online orders, and staff incentive tracking that is transparent enough to be trusted.

We build offline-capable POS with local transaction storage and sync, store-level inventory that participates in the same reservation logic as online, ship-from-store and click-and-collect where the network supports it, and store performance analytics covering conversion, average basket, and staff-level contribution.

For multi-store operations the most valuable addition is usually inter-store visibility — a customer wanting a size not in this store can be served from another, which converts a lost sale into a fulfilled one.

Quick commerce platforms have become a significant channel for many consumer categories, with their own operational demands: different pack sizes, dark-store inventory allocation, aggressive fill-rate expectations, and commission structures that materially change margin.

We integrate these as first-class channels rather than as an afterthought — inventory allocated and reserved, orders flowing into the same fulfilment view, and margin computed with the correct commission and fill-rate penalty structure. Brands treating quick commerce as a spreadsheet exercise alongside their real systems consistently discover that its true contribution is different from what they assumed.