A global industrial manufacturer
Cut purchasing cost surprises and document work across plants
This manufacturer had spend and supplier data trapped in plant-level systems, spreadsheets and supplier portals. Purchase teams spent days reconciling costs, tariffs changed without warning, and quality documents were processed by hand. DataplexLabs connected the sources, built a unified purchasing view and put document extraction in place with a human review queue.
One trusted view of spend, supplier status and open commitments across plants.Cost shocks surfaced days earlier, with clear owner and action.Manual document entry reduced, with accuracy tracked and exceptions reviewed by people.
Read the case study →A North American wholesale distributor
Recover margin lost in rebates, billing errors and price inconsistencies
Rebates, special pricing agreements and billing mistakes were quietly eroding margin. Prices varied between customers and channels, and order-to-cash work was still manual. DataplexLabs rebuilt the price-to-invoice trail, matched contracts to transactions and added monitoring for the top leakage causes.
Margin leakage identified by cause and customer, not just a variance line.Cleaner, faster pricing decisions with contract terms visible at the point of quote.Less manual reconciliation, with finance focusing on exceptions instead of rows.
Read the case study →A multi-channel retail brand
React to market moves faster with clean product, price and seller data
Competitor prices, promotions and stock levels were checked by hand, so the team reacted too late. Product content drifted across marketplaces and unauthorized sellers broke pricing rules. DataplexLabs set up continuous monitoring of competitor and marketplace data and built a single source of product truth.
Price and promotion changes surfaced the same day instead of days later.Category managers could see assortment gaps and stock moves faster.Product content became consistent enough to protect brand standards across channels.
Read the case study →A specialty importer
See landed cost before buying and cut import cost surprises
Landed cost was calculated after goods arrived, so buyers made decisions with the wrong number. Duties, freight and routing changes created unexpected invoices. DataplexLabs modelled total import cost into the buying workflow and added alerts on variance.
Buyers see a reliable landed cost before they place an order.Cost surprises reduced with early alerts on tariff, duty or freight changes.Customs and shipping documents move faster with fewer manual handoffs.
Read the case study →A household consumer brand
Protect brand standards and channel profit across online sellers
Unauthorized sellers appeared on marketplaces, listing content drifted from brand standards, and channel pricing rules were broken without evidence. DataplexLabs monitored marketplaces and retailer sites daily, matched listings to the brand catalog and built alerts for rule breaches.
Rule breaches surfaced with screenshots, timestamps and seller details.Listing content drift caught early, protecting brand presentation.Channel teams could enforce pricing agreements with evidence instead of anecdotes.
Read the case study →A freight and customs forwarder
Reduce document work and handle shipping exceptions faster
Shipping and customs documents were typed in by hand, exceptions were found late, and customers asked for updates the operations team could not answer quickly. DataplexLabs automated document capture, matched shipments to documents and added status alerts.
Document entry time reduced, with human review focused on exceptions only.Missing or mismatched paperwork caught before it delayed clearance.Customers get proactive updates instead of calling for status.
Read the case study →A healthcare distributor
Control complex contracts, rebates and claims without losing oversight
Contract, rebate and claim rules were complex and varied by product and customer. Controlled documents needed careful handling, and any AI use needed evidence and audit records. DataplexLabs built a contract and rebate data model, automated document review and set up model testing and approval workflows.
Rebate and claim calculations became repeatable and reviewable.Document handling met oversight requirements with a clear audit trail.AI tooling reached production only after safety testing and sign-off.
Read the case study →A B2B SaaS company
Ship model-ready datasets and safer AI products faster
Engineers were spending most of their time cleaning and labeling data. There was no test set that reflected real customer cases, and quality problems were found by users. DataplexLabs built a repeatable data pipeline, created labeled evaluation sets and introduced regression tests before release.
Model teams spend less time preparing data and more time improving models.Evaluation sets cover the customer cases that matter.Quality problems are caught before users see them.
Read the case study →An automotive aftermarket parts group
Match part numbers across catalogues and price against the market daily
Fitment data, supersessions and competitor listings lived in separate catalogues, so the same part sat at three different prices across channels. DataplexLabs matched parts across suppliers and marketplaces, then tracked competitor pricing and stock daily so pricing teams could react the same day instead of the next quarter.
One clean parts master across suppliers, ERP and marketplace channels.Daily competitive price signal instead of quarterly list updates.Pricing decisions made per SKU and channel, with margin impact visible before the change.
Read the case study →An industrial parts and MRO distributor
Clean a million-SKU catalogue and stop quoting below cost
A long-tail MRO catalogue carried duplicate SKUs, missing attributes and stale supplier costs, so quotes were slow and sometimes below landed cost. DataplexLabs normalised the catalogue, refreshed supplier cost feeds and gave quoting teams live cost-to-serve on every line.
Searchable, deduplicated catalogue that sales and ecommerce share.Supplier cost changes visible within days, not weeks.Below-floor quote lines flagged before they are sent.
Read the case study →A multi-property hospitality group
Track rate parity and competitor pricing across booking channels
Rates drifted between the brand site, OTAs and wholesalers, and revenue managers only found out after the booking window closed. DataplexLabs monitored rates, availability and promotions across channels and compressed the reporting loop from weekly to daily.
Parity breaches surfaced daily with the exact channel and rate plan.Competitive rate context available before pricing decisions, not after.One pace and demand view across properties rather than per-system exports.
Read the case study →A grocery and FMCG retail group
See basket-level price position and promo waste across banners
Weekly price checks covered a few hundred lines while competitors changed thousands. DataplexLabs tracked competitor shelf and online pricing across banners, matched products at pack and variant level, and showed where promotions were funding volume that would have sold anyway.
Price position visible across the full assortment, not a sample.Like-for-like comparisons that category managers trust.Promotion decisions grounded in uplift and margin, not spend alone.
Read the case study →A multi-marketplace ecommerce seller
Protect buy box share and catch unauthorised sellers early
Listings across several marketplaces were repriced by rules nobody could audit, and unauthorised sellers were undercutting MAP. DataplexLabs monitored listings, sellers and buy box ownership, then fed clean signals into repricing and enforcement.
Buy box and seller changes visible the day they happen.MAP enforcement backed by dated, documented evidence.Listing quality issues found and fixed before they hurt conversion.
Read the case study →Client details are anonymized at the clients' request.