_industries / Retail

Your online count and your shelf count disagree. We make them agree.

iFlux builds the systems retail businesses actually run on: inventory that stays accurate across stores, warehouse, and storefront, POS integration that doesn't rely on a nightly batch job, demand forecasting that reflects this year, and infrastructure that survives peak season instead of buckling under it.

// from POS integration to omnichannel fulfillment.
// from demand forecasting to peak-season load.
// from loss prevention to vendor EDI.
We build the retail layer that holds up when the traffic — and the stakes — are highest.
Tell us about your retail systems →
POS IntegrationInventory SyncOmnichannel FulfillmentDemand ForecastingLoss PreventionLoyalty & CRMPeak Season LoadVendor EDI

_problems we've actually solved

// inventory truthone number, every channel

The inventory number online doesn't match what's on the shelf

Phantom inventory — stock the system shows but the store doesn't have — means overselling, cancelled orders, and a customer who doesn't come back. We build the real-time inventory layer that reconciles POS, warehouse, and storefront into one count — so the number your customer sees is the number that's actually there.

// omnichannel fulfillmentBOPIS and ship-from-store

Buy online, pick up in store sounds simple until the store doesn't have it

BOPIS (buy online, pick up in store) and ship-from-store fulfillment only work if stock reservation is accurate to the minute, not the nightly batch. We build fulfillment systems that reserve and route inventory across channels correctly — so the order that says "ready for pickup" actually is.

// POS integrationthe register that won't talk

Your POS system was built for one register, not fifty stores and a website

Most POS (point of sale) systems were never designed to be one node in a network of stores, a warehouse, and an e-commerce backend. We build integrations that connect the register to your storefront, CRM, and warehouse in real time — replacing the nightly export with a system that actually talks.

// demand forecastingbeyond last year's spreadsheet

Forecasting demand off last year's numbers, when this year already looks different

A forecast built on a prior-year baseline misses the promotion, the trend, and the supply shock that already changed the picture. We build demand forecasting models that factor seasonality, promotions, and real signal — so buying and staffing decisions are made on what's actually coming, not what happened before.

// peak season loadBlack Friday is not a normal Tuesday

The infrastructure that works fine in June and buckles in November

Peak season multiplies load across every system at once — POS, checkout, warehouse pick-and-pack — and most retailers only discover the weak link when it's live. We stress-test POS, storefront, and warehouse systems together against your actual peak — before the traffic does it for you.

// loss preventionshrink hides in the data

Shrinkage that shows up in the quarterly numbers, three months after it happened

By the time shrink appears in a quarterly report, the pattern that caused it has been running for months. We build loss prevention systems that flag anomalies in transaction and inventory data as they happen — not a quarter later.

The inventory number online isn't a detail. It's a promise you're making to a customer.

// we don't guess at what's on the shelf.
// we build systems that know.

_the standards
layer// a vendor
// feed and a
// sales tax
// rule are both
// constraints.

PCI-DSS

Payment card data security enforced across every register and checkout, in-store and online, not just the parts easiest to audit.

EDI (Electronic Data Interchange)

Standardized vendor and supplier data exchange, engineered to survive the dialect and quirks each trading partner ships.

GS1 Standards

Barcode, product identification, and catalog data structured to the standard every marketplace and supplier partner expects.

ADA / WCAG

In-store digital kiosks and online storefronts held to the same accessibility bar — a real exposure area for consumer retail.

State Sales Tax & Returns

Multi-state tax logic and return/refund rules encoded correctly at the transaction layer, not patched after an audit.

CCPA / State Privacy Law

Customer and loyalty data handled under the same privacy commitments your marketing team already made publicly.

_what a retail systems audit looks like

iflux: retail_channel_audit.sh
~/iflux/Industries/Retail $ audit --channels=all --peak-season=true
→ Reconciling inventory across channels...
⚠ Storefront count and shelf count disagree on 12% of SKUs.
⚠ 2 stores report phantom inventory after last sync failure.
→ Checking POS integration health...
⚠ POS system has no live connection to e-commerce backend. Nightly batch only.
→ Simulating peak-season load...
✗ Checkout and POS both degrade above 3x normal concurrent load.
⚠ Warehouse pick-and-pack system untested above holiday volume.
→ Reviewing demand forecasting model...
⚠ Forecast uses prior-year baseline only. No promotion or trend signal.
→ Scanning for shrink and loss anomalies...
✓ Real-time reconciliation viable across all channels.
✓ Audit complete. 5 issues found. Peak-season risk flagged as priority.
→ Priority fix list generated. Peak-season fixes ranked first.
~/iflux/Industries/Retail $ _

_what we've built in retail

✓

Omnichannel inventory platforms unifying POS, warehouse, and storefront into one real-time count

✓

BOPIS / ship-from-store fulfillment that reserves and routes stock accurately across channels

✓

POS integrations connecting the register to e-commerce, CRM, and warehouse systems

✓

Demand forecasting models factoring seasonality, promotions, and real signal, not last year's spreadsheet

✓

Peak-season load testing across POS, storefront, and warehouse systems together

✓

Loss prevention systems built on real-time transaction and inventory anomaly detection

✓

Loyalty & CRM platforms unifying purchase history across every channel a customer uses

✓

Vendor EDI integrations that survive the dialect and format every supplier ships

_frequently asked

Can you sync inventory across our stores, warehouse, and online store in real time?

Yes — this is the core problem we solve in retail. We build a real-time inventory layer that reconciles POS, warehouse, and storefront systems into one count, so the number a customer sees online matches what's actually on the shelf, rather than a nightly batch that's already stale by morning.

Do you build BOPIS or ship-from-store fulfillment systems?

Yes. Buy online, pick up in store and ship-from-store both depend on stock reservation that's accurate to the minute, not the last sync. We build fulfillment logic that reserves and routes inventory correctly across channels, so an order marked ready for pickup actually is.

Can you integrate our POS system with our e-commerce platform and CRM?

Yes. Most point-of-sale systems were built for a single register, not a network of stores plus a website and a warehouse. We build integrations that connect the register to your storefront, CRM, and warehouse in real time, replacing manual exports with a system that actually talks to itself.

How do you prepare retail infrastructure for peak season, like Black Friday or the holidays?

We stress-test POS, checkout, and warehouse pick-and-pack systems together against your actual peak traffic shape, not an average day, since peak season multiplies load across every system at once. The goal is finding the weak link before the traffic does.

Is this different from iFlux's E-Commerce & SaaS engineering service?

Yes, though the two connect closely. E-Commerce & SaaS engineering covers building the revenue infrastructure of a store or app itself: checkout, platform engineering, and subscription billing, for any business selling online. This Retail industry page covers the domain-specific problems retail businesses face across every channel: inventory truth, POS integration, omnichannel fulfillment, demand forecasting, and peak-season resilience. Many retail engagements draw on both.

_thinking / Retail

6 min read

Phantom inventory: why your online count and your shelf count disagree, and how to fix it.

Inventory · Omnichannel

7 min read

Black Friday is not a normal Tuesday: load-testing POS, storefront, and warehouse together.

Peak Season · Infrastructure

5 min read

Forecasting demand beyond last year's spreadsheet: what actually moves the number.

Forecasting · Retail AI

Peak season is coming either way.
Let's find out if your systems are ready.

// no inventory that lies to the UI.
// no POS system stuck on a nightly batch.
// just an honest conversation about what breaks first.

Tell us about your retail systems →