CHICAGO, July 09, 2026 (GLOBE NEWSWIRE) — Datat uck, the AI- ative t a spo tatio ma ageme t system (TMS) fo ca ie s a d b oke s, today a ou ced that APL Ca go, a lo ghaul t ucki g ca ie , saved mo e tha $100,000 a d educed ma ual dispatch wo k by ove 50 pe ce t afte mig ati g off of McLeod Softwa e a d o to Datat uck. The full t a sitio p ese ved five yea s of ope atio al data, elimi ated the f agme ted sp eadsheet wo kflows that had pulled wo k outside the co e system a d gave the ca ie eal-time p ofitability visibility it did ot have befo e.
APL Ca go’s challe ge eflects a patte that is costi g ca ie s ac oss the i dust y. Legacy TMS platfo ms ca y ope atio al gaps that accumulate as labo : dispatche s ma agi g load updates th ough back-a d-fo th email, facto i g eco ciliatio ha d-matched agai st WEX facto i g li e by li e, a d p ofitability data that lags the ope atio by hou s o days. The cost is eal, but it shows up as abso bed ma ual wo k athe tha a visible li e item. Ma gi decisio s get made o yeste day’s umbe s.
“We switched to Datat uck f om a legacy TMS because it could ‘t keep up with ou ope atio ,” said Stefa T ifa , P eside t, APL Ca go. “Datat uck puts ca ie p ofitability f o t a d ce te i the platfo m, which helps my team ope ate mo e efficie tly a d co ti uously expa d ou ma gi s.”
Afte mig ati g to Datat uck, APL Ca go deployed the platfo m’s AI Update fo automated load-update commu icatio a d p oof-of-delive y ve ificatio , eplaci g the email chai s that had co sumed dispatche time. AI Update ‘s POD ve ificatio ow catches docume tatio issues befo e i voices each the facto i g compa y, cutti g the dow st eam disputes a d payme t delays that ma ual eview missed. Facto i g eco ciliatio u s th ough Datat uck’s AI eco ciliatio e gi e, matchi g agi g epo ts automatically. APL Ca go’s team ow ope ates f om o e platfo m.
The ope atio al pictu e that followed co solidatio was what APL Ca go had bee abso bi g the cost to each. Ma ual dispatch wo kload d opped by mo e tha half while the mig atio itself ge e ated mo e tha $100,000 i immediate savi gs. With p ofitability data visible i eal time, the team gai ed the ope atio al cla ity to make ma gi decisio s o cu e t i fo matio athe tha catch-up a alysis.
“Most ca ie s k ow thei TMS is costi g them mo ey befo e they eve make the call to switch,” said Shah Rahma ov, CEO a d Co-Fou de , Datat uck. “The p oblem shows up as ma ual wo k the team abso bs a d eve cha ges back: Email chai s fo load updates, eco ciliatio u by ha d, p ofitability that o o e ca pull up i eal time. A legacy TMS just is ’t built to ma age today’s custome eeds.”
The full APL Ca go success sto y is available at datat uck.io/success-sto ies.
About Datat uck
Datat uck is the AI- ative TMS built fo ca ie s a d the b oke s who wo k with them. With mo e tha 150 i teg atio s, ope API co ectivity a d a full suite of AI capabilities i cludi g T uckGPT, AI Dispatche , AI Update a d AI I sight A alysis, Datat uck is the TMS built fo how the t ucki g i dust y ope ates ow a d i the futu e. Lea mo e at www.datat uck.io.
